In Q3, we expanded our portfolio of Joule Assistants and introduced dozens of specialized agents that help customers move beyond isolated tasks toward connected, end-to-end execution. The value of AI has always been about what it accomplishes for our customers. Our recent releases help them streamline processes, increase productivity, and build more resilient operations.

Joule is 麻豆原创鈥檚 portfolio-wide AI engagement layer, combining agentic capabilities with 麻豆原创 business applications to help organizations become an Autonomous Enterprise. Through Joule Work, the new UI for AI, people describe what they want to achieve, get relevant insights, build app-less spaces personalized to their needs, and take action across connected business systems. When it鈥檚 time to execute, Joule Work selects the right Joule Assistant for the job. These assistants act as domain experts, bringing knowledge of roles and processes to the task at hand. They orchestrate specialized Joule Agents to execute tasks, using business context and data, respecting established authorizations, and maintaining audit trails. People set the direction, assistants coordinate agents, and agents carry out work with proper oversight and governance.

For example, billing teams can create invoices, identify anomalies, and resolve posting errors with the Billing Assistant and its agents. Supply chain planners can detect critical shortages earlier, assess trade-offs between service levels and inventory investment, and coordinate responses with the Supply Chain Planning Assistant. Maintenance teams can turn asset signals into coordinated maintenance action, helping address problems before they become larger operational disruptions. People retain oversight and control, while assistants and agents help reduce manual effort.

Customers are already putting these capabilities to work. PwC is using 麻豆原创鈥檚 Billing Assistant to help identify potential issues earlier, supporting better client outcomes. Novartis has launched a pilot of the Sourcing Assistant to help sourcing professionals focus on strategy, supplier engagement, and value creation.

鈥淎gents bring consistency and speed to work that previously required a lot of manual effort and coordination,鈥� , head of Procurement at Novartis. He expects improvements of 25% faster cycle times and a 35% uplift in FTE productivity.

As organizations adopt more agents, they need a clear view of their AI landscape. 麻豆原创 AI Agent Hub provides a central inventory of 麻豆原创 and non-麻豆原创 agents, helping teams keep track of and govern their growing agent portfolio. With 麻豆原创 Signavio agent mining and the Process Consulting Agent, we enable customers to identify their biggest opportunities for agentic AI and execute on them right away. This visibility supports a more coordinated approach to managing AI adoption across the business.

With Joule Studio, accessible through Joule Work, customers can create agents tailored to their business and extend 麻豆原创 standard agents with their own instructions. Browser-based tools and pro-code development options support different levels of technical expertise, while testing, versioning, and deployment turn ideas into agents that take action. This lets customers extend 麻豆原创鈥檚 capabilities to meet their business requirements.

Now, let鈥檚 dive into recent innovation.

Please note that this article covers only AI offerings released since July 1, 2026.

Joule

Joule Work

Employees can spend less time navigating applications and more time turning information into outcomes with Joule Work, which is available on desktop, in-app, web, and mobile. Joule Work, the new UI for AI, connects local and cloud environments, bringing conversational AI closer to the files, information, and business tools employees use every day. Employees can work with local files and folders in a secure sandbox environment, access current information through integrated web search, and connect to 麻豆原创 and non-麻豆原创 applications using Model Context Protocol (MCP) tools and Agent-to-Agent (a2a) integrations. Custom and corporate skills help streamline repetitive tasks, while local data and connected tools support faster creation of presentations, summaries, and other assets. And where a skill is not enough, the 麻豆原创 Knowledge Graph kicks in to search the entire space of business objects available to users for deeper transactional and analytical queries. Together, these capabilities reduce manual information analysis and help employees focus on higher-value work.

Dynamic workspaces, which we refer to as spaces, bring together insights, applications, Joule Assistants, and agents to support business workflows. Employees express what they want to accomplish, and Joule Assistants coordinate specialized agents to carry out the work. This effectively initiates the journey into a world where generative UI delivers an ultimate personalized experience to any end user. Joule Studio complements this experience with capabilities to build, deploy, and govern custom agents and workflows.

Early adopter feedback shows how this experience is changing the way employees interact with business information. Reinhausen, a global technology leader in electrical grid technologies, joined the Joule Work desktop early adopter program to support its AI journey. 鈥淲hat once required up to an hour of manual effort across our 麻豆原创 S/4HANA environment is now accessible in seconds through natural language, fundamentally changing how our teams interact with business data,鈥� said Peter Wied, director of Complexity Management at Reinhausen.

Customers are also using custom assistants to bring expertise closer to employees. Warehouse automation company KNAPP used Joule Studio to build an assistant that helps workers identify and resolve problems without waiting for an expert, reducing issue resolution times by about 90% and time spent on documentation and training by about 80%.

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The general availability for Joule Work is now underway in a phased approach.

Joule Studio

Business and IT teams can tailor Joule to their organization鈥檚 needs with Joule Studio, combining custom AI agents for complex business processes with reusable skills for everyday tasks. The agent builder enables teams to create agents that plan, reason, and dynamically address business challenges across 麻豆原创 and non-麻豆原创 systems. These agents can coordinate multi-step processes, invoke APIs, work with documents, and collaborate with users or other agents, helping organizations handle ambiguity, exceptions, and workflows that go beyond predefined automation.

The skill builder complements these capabilities with reliable, reusable operations accessed through Joule鈥檚 conversational interface. Teams can create skills to retrieve specific data, execute system transactions, and connect 麻豆原创 and third-party applications using predefined logic. Joule can select and trigger relevant skills based on context, helping employees complete frequent tasks more efficiently.

New intent-based development capabilities draw on business context from 麻豆原创 Signavio, 麻豆原创 Knowledge Graph, and 麻豆原创 Domain Models, helping teams translate business needs into tailored solutions. Pro-code capabilities let developers work in their preferred IDE, Git repository, and AI coding tools.

Together, the two builders help organizations combine flexible, goal-driven agents with predictable, task-specific automation. Grounding agents in business data and processes supports reliable outcomes, while centralized management provides visibility into skills, agent execution, and data privacy enforcement. Joule Studio helps customers build agents faster, improve accuracy while reducing costs, deploy with built-in governance, and ground AI in their business context. Estimated benefits include a 35% reduction in the time to build and deploy custom Joule Agents and a 10% reduction in the time to deploy custom Joule skills, alongside less time spent on frequent business tasks.

The agent builder is available for free until December 2026, after which it becomes a premium AI feature. The skill builder is a base AI feature.

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The general availability for Joule Studio is now underway in a phased approach.

麻豆原创 Joule for Consultants, AI-assisted custom knowledge benchmarking
Generally available

麻豆原创 consultants can use custom knowledge grounding in 麻豆原创 Joule for Consultants to receive expert guidance that combines 麻豆原创-curated content with system connectivity for an organization鈥檚 institutional knowledge. Through a grounding service that indexes organizational content with 麻豆原创 AI Core grounding, surfacing relevant information from internal documents into the Joule workflow. This way, responses reflect the firm鈥檚 methodologies, policies, delivery standards, and domain expertise. This reduces time spent searching and switching between tools while supporting growth in knowledge sources over time; it can improve productivity by up to 19%, reduce design iterations and subsequent rework by 50%, increase the share of profit by 1.5% through more optimized 麻豆原创 processes, and accelerate time to realized value by 13.7%.

Customers are already seeing the value of 麻豆原创 Joule for Consultants. reports a 40% reduction in development effort and a 25% decrease in software rework, helping its consultants focus more on innovation and client delivery.  expects to reduce consultant training time by 20 to 30% and save 93 hours each week on information searches, enabling consultants to build expertise faster and spend more time addressing clients鈥� business challenges.

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This capability is generally available.

Autonomous SCM

Product Design Assistant

• Change Record Management Agent
• Product Data Maintenance Agent
• Product Structure Optimization Agent

Design engineers and product managers can bring products to market faster and avoid costly rework with the Product Design Assistant. It connects data across design, engineering, compliance, and downstream processes, analyzing designs, recipes, and product information to surface insights. It also flags issues early and checks materials and requirements against internal rules and regulations. Three agents released in Q3 strengthen the foundations of product development. Engineers can keep product master data accurate with the Product Data Maintenance Agent, while the Product Structure Optimization Agent consistently optimizes bills of material across product views to reduce costs. When designs need to be changed, the Change Record Management Agent identifies similar change records affecting the same product and proposes a new draft version to initiate the change process. This reduces delays caused by fragmented change data and improves governance and traceability.

The result is faster, more confident design decisions and higher product quality, with estimated benefits including a 19% reduction in product design costs, a 10% increase in prototype success, a five percent reduction in cost of goods sold from design improvements, and a 12% reduction in tooling and material waste costs.

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The general availability for Product Design Assistant is now underway in a phased approach.

Logistics Assistant

• Batch Optimization Agent
• Warehouse Workload Optimization Agent
• Fixed Bin Maintenance Agent
• Material Reservation Processing Agent

Warehouse and logistics teams can keep operations running smoothly from inbound shipments to outbound deliveries with the Logistics Assistant. It senses disruptions as they happen and coordinates detection, planning, and execution across warehousing and transportation, managing decisions on labor, inventory, dispatch, and freight. Four agents released in Q3 focus on warehouse execution. Supervisors can match staff to demand and spot potential resource shortages early with the Warehouse Workload Optimization Agent. The Fixed Bin Maintenance Agent adjusts bins and replenishment as demand changes. On the inventory side, the Batch Optimization Agent monitors batch expiration and triggers actions to reduce waste. The Material Reservation Processing Agent lets users manage material reservations in natural language, with built-in human review. Together, these capabilities shorten the time from plan to execution, improve resilience to disruption, and lower the cost to serve by reducing expedites and inventory waste.

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The general availability for Logistics Assistant is now underway in a phased approach.

Manufacturing Assistant

• Production Planning and Operations Agent
• Production Master Data Readiness Agent
• Production Planning Order Progress Agent
• Workplace Safety Agent

Production planners and plant operators can keep manufacturing on track and respond to disruptions sooner with the Manufacturing Assistant. It detects issues in real time and runs corrective workflows for quality, scheduling, and workforce management. It also recommends next-best actions with clear pros and cons, so operators can focus on the exceptions that matter most.

Four agents released in Q3 support production from preparation through execution. The Production Master Data Readiness Agent makes sure materials are fully ready for production without manual setup, and the Production Planning Order Progress Agent identifies coverage issues at every order level. To speed up order-to-delivery, the Production Planning and Operations Agent helps planners release orders in as little as half the time. On the shop floor, the Workplace Safety Agent lets workers report safety concerns by describing what they observe, then assesses risks and suggests actions based on the situation and past data.

By coordinating people, systems, and workflows toward shared operational goals, the assistant helps reduce downtime, waste, and safety response times while supporting compliance through built-in traceability. Estimated benefits include a 14% reduction in production cycle time, a 19% reduction in scrap and defect rates, a six percent reduction in changeover time, a 10% reduction in operating income lost to unplanned downtime, and a 10% reduction in energy costs.

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The general availability for Manufacturing Assistant is now underway in a phased approach.

Supply Chain Planning Assistant

• Exception Management Agent
• Inventory Investment Allocation Agent
• Supply Chain Planning Orchestration Agent

Supply chain planners can detect issues earlier and respond to change with confidence using the Supply Chain Planning Assistant. It brings AI agents into everyday planning work, including exception management, demand fulfillment, inventory assessment, and capacity analysis, with one-click scenario simulation, root-cause analysis, and actionable recommendations. Three agents released in Q3 help planners turn analysis into action. The Exception Management Agent detects and resolves critical supply planning issues, giving planners the insights they need to protect service levels and avoid costly expedites. The Inventory Investment Allocation Agent weighs service levels against working capital to recommend optimal stock targets. The Supply Chain Planning Orchestration Agent coordinates these and other specialized agents across planning workflows. By speeding up decisions and surfacing capacity issues and persistent shortages in advance, the assistant helps planners keep schedules and inventory targets on track, with estimated benefits including a 20% reduction in planning coordination overhead and a 10% reduction in planning cycle time.

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The general availability for Supply Chain Planning Assistant is now underway in a phased approach.

Asset Operations Assistant

• Operational Maintenance Planning Agent
• Maintenance Event Planning Agent
• Maintenance Request Initiation Agent
• Maintenance Job Debrief Agent
• Equipment Insight Agent
• Task List Management Agent

Maintenance teams can identify critical asset conditions earlier and resolve them before they turn into larger operational disruptions with the Asset Operations Assistant. It turns asset signals into coordinated maintenance action and automates prioritization, planning, and scheduling, leaving teams more time for high-value work and exceptions.

Six agents released in Q3 cover the maintenance cycle from first request to final debrief. Technicians can create and route maintenance requests from natural-language input with the Maintenance Request Initiation Agent, while the Equipment Insights Agent provides a complete view of equipment to support better decision-making. The Operational Maintenance Planning Agent combines preventive, predictive, and corrective tasks into executable weekly and biweekly plans. When conditions change, the Maintenance Event Planning Agent analyzes real-time data to reprioritize tasks and adjust schedules. The Maintenance Task List Management Agent automates task list creation for greater consistency, and the Maintenance Job Debrief Agent streamlines job debriefs with AI-driven recommendations. By connecting asset health, risk, work outcomes, and financial impact, the assistant helps organizations increase planned work, reduce unplanned downtime, and improve uptime.

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The general availability for Asset Operations Assistant is now underway in a phased approach.

麻豆原创 Integration Business Planning, AI-assisted scenario planning

Supply chain planners can respond to disruptions with confidence using scenario planning in 麻豆原创 Integrated Business Planning. Within one workspace, they can assess impacts on demand and sales orders, identify alternative supply sources, and simulate mitigation options against KPIs such as service level and utilization before adopting the best-performing scenario. This streamlined approach helps planners make faster, data-driven decisions, build trust in their plans, and strengthen supply chain resilience.

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This capability is generally available.

Autonomous HCM

HR Service Assistant

• HR Knowledge Agent
• HR Workflow Accelerator Agent
• Payroll Explanation
• Time Off Service Agent
• Time Sheet Service Agent
• HR Service Orchestration Agent

HR service teams can resolve routine employee requests conversationally, without creating a case each time, using the HR Service Assistant. The assistant provides always-on support and draws on six agents released in Q3. Employees get fast, cited, policy-grounded answers from the HR Knowledge Agent, while the HR Service Orchestration Agent resolves requests through self-services or routes them to the right specialist agent. Common everyday questions are handled directly in the conversation: the Payroll Explanation Agent clarifies pay statements, and the Time Sheet Service Agent and Time Off Service Agent guide employees through submitting timesheets and creating compliant leave requests. When processes stall, the HR Workflow Accelerator Agent identifies delays and resolves them, allowing HR teams to reserve expert attention for complex cases. Estimated benefits include a 24% increase in case deflection to self-service, a 26% reduction in time to resolution, and a 40% reduction in queries that need Tier 2 or higher intervention.

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The general availability for HR Service Assistant is now underway in a phased approach.

HR Operations Assistant

• Employee Data Integration Agent
• Position Optimization Agent
• Job Change Request Agent
• Compensation Guidance Agent
• Job Architecture Maintenance Agent
• Skills Governance Agent

HR teams and managers can simplify core HR administration while keeping employee, job, and organizational data consistent and compliant with the HR Operations Assistant. Six agents released in Q3 help connect these activities: managers can find, edit, and create positions with the Position Optimization Agent and translate their intent into job changes with the Job Change Request Agent, while the Compensation Guidance Agent recommends policy-aligned salary increases based on performance, compensation, and skills data. To maintain the underlying data, the Employee Data Integration Agent resolves data inconsistencies, while the Job Architecture Maintenance Agent and Skills Governance Agent help keep role鈥搒kill mappings current and the skills ecosystem clean and AI-ready. Working alongside the assistant鈥檚 other specialized agents, they reduce administrative effort and support more reliable HR processes, with estimated benefits including a 39% reduction in data errors, a 20% reduction in HR transactional work, and a 25% reduction in manager time on core HR workflows.

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The general availability for HR Operations Assistant is now underway in a phased approach.

Performance and Goals Assistant

• Calibration Equity Agent
• Goal Creation Agent
• Goal Progress Agent

Managers and HR teams can align employee goals with business strategy and bring greater consistency to performance evaluations using the Performance and Goals Assistant. Three agents released in Q3 contribute to its broader capabilities: the Goal Creation Agent generates SMART performance goals grounded in strategy and role context; the Goal Progress Agent tracks completion in real time and flags risks before deadlines are missed; and the Calibration Equity Agent identifies potential inconsistencies in employees’ performance ratings before or during calibration. By combining clearer goals, proactive progress monitoring, and insights into rating inconsistencies, the assistant helps managers conduct more efficient reviews and make better-informed calibration decisions, with estimated benefits of a 21.4% reduction in review completion time and a 30% reduction in manual decision-making effort for managers.

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The general availability for Performance and Goals Assistant is now underway in a phased approach.

HR System Assistant

• Configuration Transport Agent
• HCM Audit Agent
• Role-based Permissions Agent

HR administrators can resolve access issues, manage configuration changes, and keep systems audit-ready with the HR System Assistant. It automates low-risk tasks and guides higher-risk changes, helping reduce errors and accelerate go-lives. Its Q3 releases address three key administrative needs: the Configuration Transport Agent discovers, bundles, and securely migrates configuration changes across tenants; the HCM Audit Agent enables natural language queries of 麻豆原创 SuccessFactors audit logs; and the Role-Based Permissions Agent queries user access, helps fix permission issues, and automates secure access resolution. As part of the assistant鈥檚 broader capabilities, these agents support faster troubleshooting, fewer configuration defects, and stronger traceability, with estimated benefits of a 70% reduction in configuration transport effort, a 90% reduction in time spent generating audit reports, and a 90% reduction in permission incident resolution costs.

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The general availability for HR System Assistant is now underway in a phased approach.

Autonomous Finance

Billing Assistant

• Billing Posting Agent
• Billing Creation Agent
• Billing Anomaly Agent
• Billing Adjustment Agent
• Error Explanation and Resolution Agent
• Billing Orchestration Agent

Billing teams can improve invoice accuracy and resolve issues faster with the Billing Assistant, which coordinates activities from document creation through adjustments and posting support. There are six agents being released in Q3: teams can prioritize due lists and create policy-aligned billing documents with the Billing Creation Agent, while the Billing Anomaly Agent flags unusual taxes and charges for review. When errors arise, the Billing Posting Agent and the Error Explanation and Resolution Agent help teams understand the issues and identify corrective steps, while the Billing Adjustment Agent cancels and reissues invoices to apply adjustments. The Billing Orchestration Agent coordinates these activities to keep billing processes moving. Together, these capabilities reduce manual effort and support faster invoice correction and dispute resolution, with estimated benefits including a 90% reduction in time spent analyzing and resolving posting issues, a 70% reduction in billing document creation effort, a 70% reduction in anomaly detection effort, and a 54% reduction in invoice reprocessing effort.

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The general availability for Billing Assistant is now underway in a phased approach.

Financial Closing Assistant

• Journal Entry Agent
• Accounting Accruals Agent
• Receivables and Payables Clearing Agent
• Analytical Business Insights Agent
• Asset Accounting Anomaly Detection Agent
• Financial Consistency Analysis Agent
• Financial Closing Orchestration Agent

Finance and accounting teams can accelerate period-end execution with the Financial Closing Assistant while controlling the extent to which agents participate in journal postings, clearing, and analysis. Seven agents released in Q3 support connected closing activities: teams can streamline audit-ready journal processing and accruals management with the Journal Entry Agent and Accounting Accruals Agent, and identify clearing opportunities through AI-based matching and aging analysis with the Receivables and Payables Clearing Agent. The Asset Accounting Anomaly Detection Agent and Financial Consistency Analysis Agent help improve accuracy by preventing invalid asset postings and resolving data errors, while the Analytical Business Insights Agent turns financial KPI analysis into executive summaries. Coordinating these workflows, the Financial Closing Orchestration Agent helps keep activities moving across teams and agents. This approach supports a faster, more reliable close, with an estimated 35% increase in productivity for staff performing reconciliations and adjustments.

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The general availability for Financial Closing Assistant is now underway in a phased approach.

Cash and Treasury Assistant

• Cash Positioning Agent
• Bank Relationship Agent
• Cash and Treasury Orchestration Agent

Treasury teams can manage liquidity more confidently and lower financing and banking costs with the Cash and Treasury Assistant. It monitors internal funding positions and needs, proposes cash transfers between bank accounts, and identifies ways to streamline bank wallet share and fees. Three agents released in Q3 support this work. The Cash Positioning Agent optimizes cash and performs cash-positioning tasks, such as checking balances, forecasting cash flows, and transferring funds. The Bank Relationship Agent gives treasurers a comprehensive view of the enterprise鈥檚 banking relationships, and the Cash and Treasury Orchestration Agent coordinates these activities with the assistant’s other specialized agents. Better interest yields and lower financing costs can free up funds for growth initiatives. Estimated benefits include a 50% increase in cash management and treasury staff productivity and a 10% reduction in bank commissions and fees. Productivity is also estimated to rise by 30% in the following areas: liquidity management and cash forecasting, FX risk and hedging, bank relationship management, and treasury reporting and compliance.

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The general availability for Cash and Treasury Assistant is now underway in a phased approach.

Financial Consolidation Assistant

• Financial Consolidation Data Submission Agent
• Financial Consolidation Orchestration Agent

Consolidation teams and local accountants can complete the financial close faster and with less manual effort using the Financial Consolidation Assistant. The assistant supports work across data preparation and consolidation. It guides users through issue resolution, simplifies master data maintenance, and speeds up simulations of mergers, FX changes, and other business scenarios. Two agents released in Q3 make the close cycle smoother. Local accountants can automate data submissions and resolve errors before data reaches group consolidation using the Financial Consolidation Data Submission Agent. The Financial Consolidation Orchestration Agent coordinates its agents. Teams spend less time collecting and correcting data and more time analyzing results, with an estimated 25% increase in productivity for staff performing reconciliations and adjustments.

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The general availability for Financial Consolidation Assistant is now underway in a phased approach.

Sales Operations Assistant

• Billing Block Resolution Agent
• Credit Block Resolution Agent
• Delivery Issue Resolution Agent
• Supply Issue Resolution Agent

Sales teams can keep orders moving and address fulfillment obstacles directly in their workflow with the Sales Operations Assistant. It automates sales order creation from unstructured data and supports order updates, shortening processing cycles and reducing errors. Four agents released in Q3 target common sources of delay: teams can address billing and credit blocks with the Billing Block Resolution Agent and Credit Block Resolution Agent, tackle delivery issues with the Delivery Issue Resolution Agent, and identify, analyze, and receive recommended solutions for supply problems with the Supply Issue Resolution Agent. By combining faster issue resolution with accurate, up-to-date sales data, the assistant helps improve customer satisfaction and support informed pricing decisions, with estimated benefits including a 15% reduction in revenue lost to fulfillment issues, a 10% reduction in financial losses from stockouts, and a 50% reduction in time spent resolving billing blocks and credit issues.

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The general availability for Sales Operations Assistant is now underway in a phased approach.

Recurring Receivables Assistant

• Collection Insights Agent
• Convergent Invoicing Execution Agent
• Subscription Lifecycle Agent

Finance teams can accelerate collections and manage high-volume recurring receivables more efficiently with the Recurring Receivables Assistant. Supporting recurring billing and subscription-based business models, it brings customer account context, risk insights, and recommended next steps into order-to-cash activities. Three agents released in Q3 help teams act on these insights: collectors get collection support from the Collection Insights Agent, while the Convergent Invoicing Execution Agent automates invoice corrections through geography-aware, regulation-compliant rebilling. The Subscription Lifecycle Agent complements these activities by automating subscription contract management from search through execution. Together, these capabilities help protect revenue, reduce downstream corrections, and free blocked cash, with estimated benefits including a 20% reduction in controllable days sales outstanding, a 20% increase in accounts receivable staff productivity, and a 10% reduction in controllable write-offs.

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The Recurring Receivables Assistant is available in the 麻豆原创 Early Adopter Care program.

Accounts Receivable Assistant

• Collection Account Preparation Agent
• Dispute Resolution Agent
• Dunning Insights Agent
• Collections Email Outreach Agent
• Dispute Creation Agent
• Receivable Account Analysis Agent
• Accounts Receivable Orchestration Agent

Accounts receivable teams can prepare more effective collection calls and release disputed cash sooner with the Accounts Receivable Assistant. Seven agents released in Q3 connect account analysis, customer outreach, and dispute handling: collectors can build a complete customer account picture and prioritize their next steps with the Receivable Account Analysis Agent, Collection Account Preparation Agent, and Dunning Insights Agent, while the Collections Email Outreach Agent automates correspondence for worklist items that do not require a call. The Dispute Creation Agent manages dispute cases using natural language processing and provides insights, while the Dispute Resolution Agent validates cases and suggests actionable solutions. The Accounts Receivable Orchestration Agent coordinates these activities to reduce manual effort and collection delays. Estimated benefits include a 35% increase in accounts receivable staff productivity, a 25% reduction in controllable days sales outstanding, a 15% reduction in uncollectable write-offs, and a five percent reduction in customer churn from disputes.

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The general availability for Accounts Receivable Assistant is now underway in a phased approach.

Tax Compliance Assistant

• Legal Change Agent
• Regulatory Document Mapping Explanation Agent
• Statutory Report Analysis Agent
• Statutory Report Extension Update Agent
• Tax and Compliance Orchestration Agent

Finance and IT teams can keep pace with regulatory changes and reduce manual compliance work with the Tax and Compliance Assistant. It supports continuous monitoring and automation across tax calculations, e-invoicing, statutory reporting, and payments, helping teams identify issues before they become costly disruptions. Five agents released in Q3 connect regulatory discovery with reporting maintenance: the Legal Change Agent helps teams discover relevant regulatory changes, while the Regulatory Document Mapping Explanation Agent clarifies regulated e-invoice field mappings and compliance rules through Joule. Teams can review statutory reports for anomalies and recommended fixes with the Statutory Report Analysis Agent, and merge report extensions when 麻豆原创 delivers new versions using the Statutory Report Extension Update Agent. The Tax and Compliance Orchestration Agent coordinates these activities, supporting traceable processes and faster error correction. Estimated benefits include a 75% reduction in compliance rework costs, a 30% reduction in tax compliance process costs, a 40% reduction in regulatory penalties and fines, and a 50% reduction in compliance monitoring effort.

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The general availability for Tax and Compliance Assistant is available in the 麻豆原创 Early Adopter Care program.

International Trade Assistant

• International Trade Product Profile Agent
• International Trade Classification Agent

International trade teams can streamline goods classification and manage changing trade requirements with the International Trade Assistant, bringing AI-powered support into enterprise import, export, compliance, and origin management processes. Two agents released in Q3 connect product understanding with classification: the International Trade Product Profile Agent collects and unifies product data to establish its semantic meaning, while the International Trade Classification Agent automatically classifies goods for shipping, helping teams save time and support compliance. Alongside capabilities such as sanction screening and EU Intrastat reporting, these agents help replace disconnected, reactive processes with a more governed and scalable approach to international trade.

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The general availability for International Trade Assistant is available in the 麻豆原创 Early Adopter Care program.

Accounts Payable Assistant

• Accounts Payable Orchestration Agent
• Payment Inquiry Handling Agent
• Receivables and Payables Clearing Agent

Accounts payable teams can reduce manual payment handling and reconcile vendor accounts more efficiently with the Accounts Payable Assistant. It combines payment automation, proactive validation, and guidance on exceptions with insights into cash flow and discount opportunities. Three agents released in Q3 support these workflows: teams can manage routine invoice-specific payment inquiries with the Payment Inquiry Handling Agent and generate balanced clearing proposals for open items in accounts payable and receivable with the Receivables and Payables Clearing Agent. The Accounts Payable Orchestration Agent coordinates the agents. By streamlining payment-related tasks and helping teams address discrepancies, the assistant offers estimated benefits of a 35% increase in accounts payable staff productivity and a 20% reduction in duplicate payments and exceptions.

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The general availability for Accounts Payable Assistant is now underway in a phased approach.

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted KPI and report summary

Managers and executives can get a quicker view of business performance with KPI and report summaries in 麻豆原创 S/4HANA Cloud Public Edition. The feature turns Generic Drilldown reports into concise natural-language summaries that highlight key metrics, trends, anomalies, and threshold breaches directly within 麻豆原创 Fiori apps. This makes complex analytics easier to interpret and share, helping users make more informed decisions without manual report analysis.

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This capability is generally available.

麻豆原创 S/4HANA Cloud Public Edition, EHS environment management, AI-assisted compliance management

EHS compliance managers can set up regulatory obligations and permits more efficiently with environment management and compliance management in 麻豆原创 S/4HANA Cloud Public Edition. The feature scans PDF documents to capture header data, identify relevant requirements, and propose related tasks such as maintenance notifications or reporting activities, while keeping the source document and proposed actions visible side by side. This reduces data entry errors and setup time, strengthens auditability by linking requirements to their source, and can reduce compliance obligation management costs by up to 65% while lowering the risk of penalties and fines.

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This capability is generally available.

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted aging work in progress analytics and management

Project financial controllers can track and manage aging work in process more effectively with Joule in 麻豆原创 S/4HANA Cloud Public Edition. The feature analyzes WIP for time-and-expense projects, identifies delayed billing, summarizes relevant insights in dynamic charts, and supports actions to help prevent revenue loss. This shortens the time needed to review WIP amounts, speeds billing decisions, and helps reduce potential cash flow risk.

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This capability is generally available.

麻豆原创 Cloud Identity Access Governance, AI-assisted access review

Access reviewers can make faster, more informed certification decisions with AI-assisted access review in 麻豆原创 Cloud Identity Access Governance. The feature provides context-aware recommendations based on historical review outcomes, peer-group analysis, and organizational access patterns, along with business-friendly explanations to help reviewers assess whether a user鈥檚 access remains appropriate. This reduces review effort and operational overhead while improving decision quality, strengthening access governance, and supporting compliance.

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This capability is generally available.

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted document extraction for simplified business partner master data maintenance

Sales managers, purchasing managers, and business partner master data specialists can accelerate business partner onboarding with document extraction in 麻豆原创 S/4HANA Cloud Public Edition. Integrated into the Manage Business Partner app, 麻豆原创 Document AI extracts names, addresses, bank account details, and tax numbers from uploaded purchase orders, quotations, and invoices, and automatically populates the relevant fields. This reduces manual transcription and switching between files and screens, helping improve data accuracy, consistency, and operational efficiency.

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This capability is generally available.

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted incoming bill of exchange posting

Finance teams can streamline incoming bill of exchange processing in 麻豆原创 S/4HANA Cloud Public Edition with automated data extraction and posting proposals. By uploading PDF or image files, they can capture bill details, identify missing or inconsistent data, and match open customer items to support posting and reconciliation. This reduces manual entry and errors, improves processing efficiency, and helps teams handle higher volumes across supported countries.

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This capability is generally available.

Autonomous Spend Management

Purchasing Assistant

• Purchase Order Lifecycle Management Agent

Purchasing teams can make faster, more consistent buying decisions and protect margins with the Purchasing Assistant. It identifies spend leakage, recommends the best-fit suppliers with clear, explainable reasoning, and automatically enriches and validates catalog data at upload. It also monitors frequently purchased materials for potential supply gaps and assigns new sources of supply. The Purchase Order Lifecycle Management Agent, released in Q3, extends this support beyond the point of purchase. It flags delivery risks for open orders and guides purchasers on the next steps. By automating analysis and reducing manual follow-up, the assistant improves catalog quality and keeps critical materials in stock, with estimated benefits including a one percent decrease in buying spend and a 30% increase in buying staff productivity.

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The general availability for Purchasing Assistant is now underway in a phased approach.

Supplier Management Assistant

• Supplier Management Identification and Optimization Agent

Supplier managers and procurement teams can build a more resilient supplier base and make better informed decisions with the Supplier Management Assistant. It supports the full supplier life cycle: it unifies supplier data across systems into a single, consistent view, assesses supplier performance to recommend targeted development plans, and continuously monitors financial, compliance, and ESG risk using real-time external data. The Supplier Management Identification and Optimization Agent, released in Q3, adds AI-powered supplier identification and optimization, helping teams find suitable suppliers and make sourcing decisions faster. With less manual effort spent gathering supplier information and assessing risk, organizations can respond to changes in their supply base sooner, with an estimated 20% increase in supplier management staff productivity.

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The general availability for Supplier Management Assistant is now underway in a phased approach.

Procurement Contract Assistant

• Procurement Contract Compliance Monitoring Agent
• Procurement Contract Analysis Agent
• Procurement Contract Renewal Optimization Agent

Procurement and contract management teams can protect contract value and reduce risk across the contract life cycle with the Procurement Contract Assistant. It produces legally compliant first drafts, continuously monitors terms, and supports decisions on renewal, renegotiation, and new sourcing. Three agents released in Q3 help bring existing and active agreements under control. Teams can speed up the ingestion of legacy contracts with the Procurement Contract Analysis Agent, which extracts metadata and obligations, while the Procurement Contract Compliance Monitoring Agent monitors those obligations and detects deviations in real time. As agreements near expiration, the Procurement Contract Renewal Optimization Agent evaluates them and recommends the next action. By surfacing risks to pricing, usage, SLAs, and obligations earlier, the assistant improves compliance and renewal outcomes, with estimated benefits including a 45% increase in contract management staff productivity and a 50% reduction in gaps in terms-and-conditions monitoring.

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The general availability for Procurement Contract Assistant is now underway in a phased approach.

Category Management Assistant

• Category Strategy Development Agent
• Market Insights Agent

Category managers can build, refine, and continuously optimize category strategies with the Category Management Assistant, providing procurement teams with a basis for more proactive decision-making. The assistant combines spend data, supplier context, and external market intelligence into a single view of each category, surfacing risks and opportunities such as market shifts, compliance gaps, and value leakage early. Two agents released in Q3 connect market research directly to strategy. The Market Insights Agent automates category research and delivers verified procurement intelligence, and the Category Strategy Development Agent turns market intelligence into data-driven strategy recommendations. Category managers spend less time gathering information and can adapt their strategies as conditions change, with estimated benefits including a 35% increase in category management staff productivity and a one percent reduction in maverick spend.

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The general availability for Category Management Assistant is now underway in a phased approach.

Invoicing Assistant

• Invoicing Orchestration Agent

Accounts payable teams can move toward touchless invoice processing with the Invoicing Assistant, which automates AP from invoice receipt to payment scheduling with minimal human input. It extracts invoice data, accelerates posting, and draws on integrated procurement and finance data to reduce errors, provide real-time insights, and detect potential fraud. The Invoicing Orchestration Agent, released in Q3, fully automates AP by extracting invoice data and orchestrating end-to-end processing with minimal human input. Less time spent on manual data entry and exception handling results in a more secure, compliant, and efficient process, and more room for higher-value work.

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The general availability for Invoicing Assistant is now underway in a phased approach.

Receiving Assistant

• Return Goods to Supplier Agent

Procurement and receiving teams can streamline goods receipts, service entry sheets, returns, and quality tracking with the Receiving Assistant, reducing manual steps while reinforcing purchase order and contract compliance. For supplier returns, the Return Goods to Supplier Agent helps identify slow-moving or obsolete stock and uses material details and return quantities to trace the original supplier and purchase order. It then prepares a draft return purchase order and notifies the responsible purchaser, who reviews the proposal and agrees on the return terms with the supplier. This combines automated preparation with human oversight to reduce administrative effort, help release working capital tied up in excess inventory, and lower the financial risk of unresolved dead stock.

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The general availability for Receiving Assistant is now underway in a phased approach.

Requisition Assistant

• Purchase Requisition Creation Agent
• Purchase Requisition Optimization Agent

Employees can find the items and services they need and prepare policy-compliant purchase requests with the Requisition Assistant. The Purchase Requisition Optimization Agent searches and compares options across multiple catalogs in real time, ranking alternatives against priorities such as price, quality, supplier preference, and delivery time. To simplify request preparation, the Purchase Requisition Creation Agent turns free-text requests or documents into ready-to-submit purchase carts, guides users to the appropriate buying channels, and autofills forms while checking policies and validating key details. These capabilities help employees balance purchasing needs with company preferences, reduce errors before submission, and shorten requisition-to-order cycles, with an estimated 15% increase in requisition staff productivity.

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The general availability for Requisition Assistant is now underway in a phased approach.

Operational Procurement Assistant

• Invoice Reminder Agent
• Material Spend Advisory Agent

Procurement teams can reduce manual follow-up and strengthen contract compliance across the procure-to-pay cycle with the Operational Procurement Assistant. It monitors and drives the processing of purchase requisitions, purchase orders, supplier contracts, scheduling agreements, service entry sheets, and supplier invoices. Teams can identify off-contract spending, quantify potential savings, and spot quick wins with the Material Spend Advisory Agent, while accountants receive invoice insights through the Invoice Reminder Agent. By reducing manual steps, keeping contracts and sourcing data up to date, and simplifying supplier quote management, the assistant helps accelerate procurement execution, reduce errors and delays, and improve contract utilization.

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The general availability for Operational Procurement Assistant is now underway in a phased approach.

麻豆原创 Ariba Contracts, AI-assisted contract creation from documents

Suppliers can create contracts in 麻豆原创 Ariba Contracts from existing contract PDFs. The feature extracts relevant contract details, recommends required fields, and provides a preview where users can review, edit, or override values before creating the contract. This reduces repetitive data entry, supports more consistent contract data, and helps accelerate contract onboarding and digitization.

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This capability is generally available.

麻豆原创 Ariba Contracts, AI-assisted contract creation from prompts

Contract managers can start new contracts in 麻豆原创 Ariba Contracts using natural-language prompts directly within the contract creation experience. The feature translates a small number of inputs into contract header fields in seconds, helping users focus on their intent rather than navigating through separate steps. Users review and confirm the proposed details before creating the contract, reducing effort while maintaining human control as contract volumes grow.

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This capability is generally available.

麻豆原创 Ariba Contracts, AI-assisted contract field recommendations

Contract managers can complete contracts faster in 麻豆原创 Ariba Contracts with context-aware field recommendations. The feature suggests relevant values from reliable data sources for fields such as supplier, company code, and payment terms, helping users navigate organizational rules and dependencies with less manual effort. Explainable recommendations support accuracy and compliance while allowing contract managers to retain control and flexibility over final values.

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This capability is generally available.

Concur Travel, AI-assisted trip changes

Business travelers and travel coordinators can manage itinerary changes through a natural-language conversation with Joule in Concur Travel. They can find a trip by describing it, review the estimated cost of a modification before confirming it, and update flights, hotels, or rental cars without switching to separate booking tools. This provides real-time support that reduces manual work and helps users make travel changes faster.

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This capability is generally available.

Concur Expense, AI-assisted approval manager

Approval managers can use AI-powered insights in Concur Expense to focus their review on the transactions that require attention. The feature identifies unusual patterns, inconsistencies, and missing context, while routine, lower-risk expenses recede from view to reduce review noise. Explainable AI reasoning clarifies why an item was flagged, and direct access to receipts, expense history, and supporting details helps managers quickly validate decisions. Integrated into existing approval workflows, the feature helps speed up reviews, improve consistency, and maintain accountability without requiring approvers to be expense-policy experts.

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This capability is available in 麻豆原创 Early Adopter Care.

Concur Expense, AI-assisted corporate card management

Card administrators and business travelers can simplify virtual card management with AI-driven automation in Concur Expense. Administrators can translate policies written in natural language into spending limits, merchant category controls, and approval workflows, while travelers can request cards and funds conversationally through familiar messaging channels. This reduces administrative effort, accelerates access to funds, and supports compliance through upfront spending guardrails. The feature is currently available only to eligible customers enrolled in the corresponding 麻豆原创 Early Adopter Care program.

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This capability is available in 麻豆原创 Early Adopter Care.

Concur Travel, AI-assisted travel filters

Business travelers can find suitable flights faster with AI-assisted travel filters in Concur Travel. By describing preferences such as a preferred airline or departure time window in plain language, they can narrow search results without scanning numerous options or adjusting filters individually. This helps travelers identify relevant itineraries more efficiently, simplify decision-making, and book with greater confidence.

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This capability is generally available.

Concur Travel, AI-assisted travel search

Corporate travelers can find relevant rail stations more easily with AI-assisted travel search in Concur Travel, even when they do not know the exact station name or local spelling. They can search in supported languages using station names, cities, countries, or points of interest, with support for typos, omitted accents, and different word orders. This helps travelers identify suitable stations with less effort and plan rail journeys with greater confidence.

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This capability is generally available.

Autonomous CX

Case Management Assistant

• Case Action Recommendation Agent
• Case Preparation Agent
• Case Processing Agent
• Case Management Orchestration Agent

Service representatives can move from case intake to resolution with clearer context and guided actions using the Case Management Assistant. Four agents released in Q3 support this journey: the Case Preparation Agent analyzes incoming requests and extracts key customer context, giving representatives an informed starting point, while the Case Action Recommendation Agent recommends next best actions and helps prioritize tasks based on the live case. The Case Processing Agent assists with processing steps across relevant scenarios and domains, while the Case Management Orchestration Agent coordinates the specialized agents throughout the workflow. By reducing back-and-forth and supporting case summaries and customer communications, the assistant helps teams deliver more efficient, consistent service, with estimated benefits including a 35% reduction in diagnosis effort, a 50% reduction in misrouting, and a 20% reduction in resolution time.

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The general availability for Case Management Assistant is now underway in a phased approach.

Deal Qualification Assistant

• Lead Conversion Agent
• Lead Enrichment Agent
• Lead Qualification Agent
• Lead Routing Agent
• Deal Qualification Orchestration Agent

Sales teams can prioritize promising prospects and accelerate opportunity creation with the Deal Qualification Assistant. It deduplicates lead data, assesses fit and intent, and automates routing and engagement. Four agents released in Q3 connect these activities: the Lead Enrichment Agent enhances incoming lead records with relevant external data, ensuring sales teams have the context needed to engage effectively, while the Lead Qualification Agent categorizes prospects as qualified, nurtured, or disqualified based on ideal customer criteria. After an account executive confirms qualification, the Lead Conversion Agent creates the required account, contact, and opportunity records, preserving lead details and engagement history. The Deal Qualification Orchestration Agent coordinates the specialized agents across the process. This reduces research and data entry while improving pipeline quality, with estimated benefits including a 35% reduction in manual deal-qualification effort and a 10% increase in the lead-to-meeting ratio.

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The general availability for Deal Qualification Assistant is now underway in a phased approach.

麻豆原创 Enterprise Service Management, AI-assisted document extraction

Service and support staff can extract relevant information from image and PDF attachments in 麻豆原创 Enterprise Service Management. The feature converts unstructured document content into structured data鈥攕uch as invoice or contract-account details鈥攁nd supports retrieval of related entities from 麻豆原创 back-end systems, including 麻豆原创 S/4HANA Cloud. This accelerates document handling, improves data accuracy, and connects incoming documents more smoothly to existing workflows and business processes.

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This capability is generally available.

麻豆原创 Omnichannel Promotion Pricing, AI-assisted promotional text translation

Promotion planners can use 麻豆原创 Omnichannel Promotion Pricing to translate promotional text into more than 150 languages. AI-powered translation reduces the manual work required to maintain multilingual content and helps keep messaging consistent across global promotion campaigns.

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This capability is generally available.

麻豆原创 Engagement Cloud, AI-assisted content composer

Marketers can accelerate campaign creation with the AI-powered content composer in 麻豆原创 Engagement Cloud, generating personalized copy and brand-consistent images directly within the campaign editor. Drawing on product catalog data, audience attributes, and reference campaigns, they can create headlines, body copy, calls to action, and hero images while retaining control to preview, edit, or regenerate each element. This integrated workflow helps teams launch campaigns faster, scale personalization, and reduce tool switching.

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This capability is generally available.

麻豆原创 Business AI Platform

Mistral on 麻豆原创 Business AI Platform

Organizations can use Mistral’s enterprise AI platform, including Mistral Vibe Work and AI Studio, hosted on 麻豆原创 Business AI Platform, to enhance productivity. Employees can interact with multilingual large language models to chat, think, search, write, upload files, and receive answers to questions, helping them automate meaningful daily work from a single environment. The offering also provides a no-code environment for teams to design, customize, deploy, and operate AI agents and workflows end-to-end. Mistral models are deployed locally on 麻豆原创 Cloud Infrastructure to support data processing within a trusted region, helping organizations address regulatory requirements, regional compliance mandates, and geopolitical considerations. A fully sovereign version on 麻豆原创 Sovereign Cloud, supporting legal, operational, technical, and data sovereignty, is planned for early 2027.

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This capability is generally available.

麻豆原创 Analytics Cloud, AI-assisted prompt insights

Story designers can embed large language model prompts as widgets in 麻豆原创 Analytics Cloud stories, enabling story consumers to generate AI responses directly within their analytics experience. The feature can provide structured analysis of tables or answer broader business questions, helping users create data-driven narratives and decision support without moving internal data to external AI tools. This reduces manual analysis effort and can cut the time required to analyze 麻豆原创 Analytics Cloud data by 60%.

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This capability is generally available.

麻豆原创 Analytics Cloud, AI-assisted story code generation

Business analysts can build customized dashboards more efficiently with AI-assisted story code generation in 麻豆原创 Analytics Cloud. The feature automatically generates JavaScript and explains its functionality and coding choices, helping analysts understand, modify, and extend scripts to create low-code analytics applications. This reduces manual coding effort, supports faster delivery of analytics solutions, and gives analysts greater flexibility to tailor dashboards to business needs.

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This capability is generally available.

麻豆原创 Datasphere, AI-assisted SQL generation

Data modelers can create and refine SQL views more efficiently with AI-assisted SQL generation in 麻豆原创 Datasphere. Using natural language prompts in the SQL View Builder, they can generate SQL code for new or existing views. This helps reduce manual coding effort and increase modeling productivity.

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This capability is generally available

Generative AI hub enhancements

麻豆原创-RPT-1.6
麻豆原创-RPT-1.6, now available on generative AI hub, is our latest model in the 麻豆原创-RPT family. It delivers the strongest gains in prediction quality to date, particularly for high-cardinality classification, and is validated across 197 real-world enterprise tasks.

• Explainability: Available in all 麻豆原创-RPT-1.6 variants, this includes column-level feature importances and the ability to surface specific historical rows most influential to each prediction, giving business users and decision-makers a clearer basis for trusting and acting on AI-driven outputs.
• Deep Context Mode: Only available in 麻豆原创-RPT-1.6-large, this allows the model to draw on significantly larger reference datasets to improve prediction quality. It is intended for use cases with large historical data, such as invoice records spanning multiple fiscal years or product catalogs in the tens of thousands. This mode trades higher latency and cost for higher accuracy, and can be enabled via a single parameter in the prediction configuration.

Tabular Orchestration
Tabular Orchestration, now available on generative AI hub, is a new managed workflow for 麻豆原创-RPT models. It handles context management and data access, thereby removing the need to build and maintain custom data pipelines. Teams register their data source and scenario configuration once at design time. Every inference is a single API call, with the workflow automatically handling data ingestion and context selection before routing the prediction request to the specified 麻豆原创-RPT model. This setup is designed to easily carry forward as the workflow expands to support additional tabular foundation models beyond 麻豆原创-RPT in future releases.

Prior Labs’ TabPFN-3.5-Plus
Business analysts and AI teams can turn structured business data into actionable predictions faster with TabPFN-3.5 Plus, now available in 麻豆原创 AI Core. Developed by Prior Labs, an 麻豆原创 company, the tabular foundation model helps organizations predict outcomes such as payment delays, supplier risks, customer churn, and upsell opportunities鈥攚ithout task-specific model training or tuning. Unlike large language models, which excel at language and knowledge tasks, TabPFN-3.5 Plus is purpose-built for the rows and columns that underpin critical business decisions.

The model works with data as it exists in business systems, handling missing values, mixed data types, and inconsistent fields without preprocessing. Through in-context learning, it uses labeled examples to make predictions from raw tabular data, including columns containing thousands of distinct values, such as product codes or customer identifiers. This reduces the manual preparation and trial-and-error configuration associated with traditional machine learning, helping teams move from business data to predictions in minutes.

For customers, this means a faster path to predictive insights with less model-development effort. Finance teams can anticipate payment delays, procurement teams can assess supplier risks, and customer-facing teams can identify churn risks and upsell opportunities. By making prediction more accessible, TabPFN-3.5 Plus helps organizations use their structured data to inform decisions and act earlier on emerging risks and opportunities.

Learn more here and . .

Enterprise Architecture Assistant

• Enterprise Architecture Management Agent

Enterprise architects can find answers and maintain more complete, up-to-date architecture inventories without leaving 麻豆原创 LeanIX using the Enterprise Architecture Assistant. Released in Q3, its Enterprise Architecture Management Agent enables architects to query and analyze inventory data across multiple dimensions, drawing on internal documentation from repositories such as 麻豆原创 LeanIX, Confluence, and SharePoint. Architects can identify missing fields and conduct gap analysis within their workflow, reducing the need to manually search documents or switch between applications. By bringing contextual research and analysis into 麻豆原创 LeanIX, the assistant helps shorten information searches, simplify navigation and data management tasks, and strengthen inventory quality and governance.

Get started .

The general availability for Enterprise Architecture Assistant is now underway in a phased approach.

Data Management Assistant

• Transition Data Quality Scope Agent
• Transition Data Quality Evaluation Agent
• Transition Data Quality Prioritization Agent
• Transition Data Quality Validation Agent
• Transition Data Quality Automated Resolution Agent
• Data Management Orchestration Agent

Data management teams can identify, prioritize, and correct data quality issues across the transformation life cycle with the Data Management Assistant. Its Q3 lineup connects six agents within a governed workflow: the Transition Data Quality Scope Agent selects relevant KPIs, while the Transition Data Quality Evaluation Agent analyzes execution results to identify trends and severity. Teams can focus on the most important corrections with the Transition Data Quality Prioritization Agent, then identify source systems and verify proposed fixes through the Transition Data Quality Validation Agent. The Transition Data Quality Automated Resolution Agent executes corrections only after human approval, with the Data Management Orchestration Agent coordinating the specialized agents throughout the process. By combining ongoing monitoring, actionable recommendations, and sandbox validation before production deployment, the assistant helps teams reduce correction risks, detect emerging issues, and maintain data governance at scale.

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The general availability for Data Management Assistant is now underway in a phased approach.

Process Transformation Assistant

• Process Consulting Agent

Business users and process analysts can uncover opportunities for improvement and turn insights into prioritized actions with the Process Transformation Assistant in 麻豆原创 Signavio. It combines conversational process mining with data preparation, tailored recommendations, and structured value cases to reduce configuration effort and support faster decisions. In Q3, the Process Consulting Agent lets users explore processes through natural-language questions, using multi-agent reasoning to retrieve relevant data, perform analyses, and translate findings into contextual recommendations and next-best actions. This helps users without specialist analytical skills contribute to process improvement while freeing analysts from time-consuming searches. Estimated benefits of the agent include a 90% reduction in time spent on complex data searches per artifact and a five percent reduction in average time spent analyzing, designing, modeling, and monitoring a process.

Get started .

The general availability for Process Transformation Assistant is now underway in a phased approach.

ALM Dashboard Generation Agent

IT and operations teams can use the ALM Dashboard Generation Agent to create graphical dashboard cards from system and service data in 麻豆原创 Cloud ALM through natural-language prompts. The agent helps users build personalized, role-specific monitoring dashboards without extensive data expertise, making it easier to tailor views to operational needs and deliver relevant insights to each user. This can reduce dashboard creation and maintenance effort by 75% and increase business productivity by 25% through faster access to customized information.

Get started .

This capability is generally available.

ALM Alert Resolution Agent

Alert processors can use the ALM Alert Resolution Agent in 麻豆原创 Cloud ALM to analyze alert details, including error messages, thresholds, related issues, and system context, and gain a comprehensive view of the current situation. The agent automates initial triage, searches help documentation, knowledge base articles, and 麻豆原创 Notes, and provides recommended troubleshooting and resolution steps directly on the Alert Details page. This helps reduce mean time to resolution, lower manual triage and troubleshooting effort, improve system uptime, and standardize incident resolution with consistent, AI-guided workflows.

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This capability is generally available.

麻豆原创 Regulatory Insights

Compliance officers can use 麻豆原创 Regulatory Insights to manage complex and evolving compliance requirements. The solution extracts and structures control requirements from lengthy regulatory documents, compares regulatory versions to identify new, changed, or withdrawn requirements, and analyzes the extent to which existing internal controls provide coverage. AI-driven recommendations help identify potential controls for closing gaps, while validation and contextual analysis support accurate mapping of related regulatory and control language. APIs enable integration with existing compliance and risk management systems, helping organizations reduce manual effort, improve transparency, maintain consistent data, and strengthen compliance processes at scale. By helping teams identify regulatory changes earlier and understand complex documents faster, the solution can help reduce penalties or rework costs from missed changes by 25% and reduce the average time spent comprehending regulatory documents by 70%.

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This capability is available as beta release.

麻豆原创 Cloud ALM, AI-assisted operations score optimization

IT and operations leads responsible for 麻豆原创 S/4HANA landscapes in RISE with 麻豆原创 can use the AI assistant in 麻豆原创 Cloud ALM Operations View to understand Operations Index scores and their day-to-day impact. The assistant translates technical metrics, KPIs, and configuration data into clear, context-aware explanations, identifies the primary factors affecting current scores, and highlights the systems, configuration gaps, or runtime issues that need attention first. This helps operations owners prioritize actions, allocate effort effectively, and make faster decisions aligned with clean core principles without manually interpreting every dashboard chart or KPI.

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This capability is generally available.

Industry AI

Spare Parts Request Processing Agent

Spare Parts teams can use the Spare Parts Request Processing Agent to process requests from multiple input channels and initiate the creation of sales quotations in the target system. The agent identifies the appropriate parts and involves experts when request details are missing or ambiguous, helping ensure accurate responses without requiring specialists to manually manage every request. This reduces the time and effort required to respond to customers, shortens the time to create quotes, increases spare-parts sales, and improves customer satisfaction.

Get started .

This capability is available in 麻豆原创 Early Adopter Care.

Jonathan von Rueden is chief AI officer of 麻豆原创 SE.

*Disclaimer: This article provides estimated benefits. All calculations are estimates based on 麻豆原创 customer case studies, 麻豆原创 benchmarks, and other research. Actual benefits may vary and may be affected by additional factors not considered by this article. The information is provided 鈥渁s is鈥� without warranty of any kind, expressor implied, and in no event shall 麻豆原创 be liable for any damages whatsoever in relation with the use of this article. See Legal Notice on for use terms, disclaimers, disclosures, or restrictions related to this material.

Procurement leaders operate in a very different environment than they did just a few years ago. Beyond cost and compliance, they must now strengthen resilience, manage supplier risk, support workforce strategies, and help businesses respond faster to changing market conditions.

Yet, many of the systems supporting these responsibilities remain disconnected. Supplier intelligence lives in one place, workforce information in another, and spend data often requires significant preparation before it can drive decisions.

At 麻豆原创 Connect, we announced a series of innovations across the 麻豆原创 Ariba, 麻豆原创 Fieldglass, and 麻豆原创 Concur portfolios designed to help organizations address those challenges: new AI assistants for spend analysis and contingent workforce management, embedded supplier risk intelligence through a new partnership with Moody鈥檚, a new solution extension with ORO Labs that orchestrates procurement across complex enterprise landscapes, and new 麻豆原创 Concur capabilities that simplify high-volume administrative work.

Together, these innovations point to a broader shift toward , a domain within the . AI connects information, insights, and execution, while people remain in control of the decisions that matter most.

Better spend decisions start with better visibility

Many procurement organizations still struggle to turn spend data into actionable insight quickly enough to support decision-making.

According to the 2026 Economist Enterprise report, , sponsored by 麻豆原创, digital transformation is now the top strategic priority for procurement over the next 18 months, and improving spend analytics is one of its biggest drivers, cited by 53% of executives. These findings reflect growing pressure to improve decision-making and business impact.

Earlier this month, 麻豆原创 announced the availability of 麻豆原创 Ariba Spend Analysis and Insights, giving organizations a new way to bring together spend data across 麻豆原创 Ariba, 麻豆原创 Fieldglass, 麻豆原创 Concur, 麻豆原创 Cloud ERP, and other systems into a single foundation for analysis and action.

Building on that foundation, we announced the new Spend Analytics Assistant at 麻豆原创 Connect. Planned for general availability in Q1 2027, it helps procurement teams identify opportunities for cost savings, compliance, supplier consolidation, and risk mitigation. Rather than searching through reports, teams see highlighted areas that merit attention, along with supporting context to help them prioritize and act, so they spend more time on decisions and less on data preparation.

Bringing supplier risk into everyday decisions

Supplier risk is now a strategic concern across every industry, yet risk data often remains disconnected from the sourcing and purchasing decisions where it matters most.

At 麻豆原创 Connect, we also announced a new partnership with Moody鈥檚 that embeds supplier risk monitoring directly into . By bringing financial health, operational risk, and regulatory status into the same environment where supplier performance and relationship data are managed, procurement teams can evaluate risk as part of everyday decision-making rather than periodic reviews.

The partnership also strengthens the foundation for AI-powered procurement. When risk information is embedded directly within procurement workflows, it becomes part of the business context used to help identify emerging issues and support earlier intervention. This gives teams a more complete view of supplier relationships and greater ability to respond before potential disruptions affect operations.

General availability is planned for Q4 2026.

Connecting procurement across complex enterprise landscapes

The disconnection that slows procurement decisions often extends beyond data; it also shows up across the systems themselves. For many organizations, procurement unfolds across a mix of 麻豆原创 and third-party applications, each supporting different parts of the process. Coordinating work across that kind of landscape, without disrupting the systems teams already rely on, can be one of modern procurement鈥檚 more persistent challenges.

To solve this, 麻豆原创 announced a new solution extension developed with ORO Labs: 麻豆原创 Ariba Procurement Orchestration by ORO Labs. It provides a purpose-built orchestration layer that connects procurement experiences, workflows, and systems across complex environments spanning both 麻豆原创 and third-party applications.

For employees, this means a more unified experience and a simpler way to initiate and navigate procurement work. Low-code/no-code workflows let teams adapt processes as business requirements and policies change, without disrupting underlying systems. Organizations can also apply agentic AI within these workflows while preserving the controls, approvals, and human oversight that enterprise operations depend on.

The solution extension works alongside Joule Work, with Joule Work serving as the primary engagement layer. General availability is planned for November 2026.

Making external workforce management more proactive

For many organizations, contingent workers have become an essential part of how they scale skills, execute projects, and adapt to changing business needs. Managing those workers, however, often requires coordination across procurement, HR, hiring managers, suppliers, and compliance teams.

We also announced the new Contingent Workforce Assistant, designed to bring greater visibility to that process. Planned for general availability in Q4 2026, the assistant helps organizations manage the contingent worker life cycle by surfacing issues such as onboarding delays, pending approvals, compliance requirements, and other exceptions before they affect assignments. By bringing relevant information into a single experience, teams can address issues earlier while maintaining governance and auditability.

This proactive approach addresses one of the persistent challenges in workforce management: identifying issues early enough to act before they become operational problems.

Simplifying travel and expense management through targeted automation

Not every productivity challenge in spend management requires a major transformation initiative.

In many organizations, the greatest source of friction in travel and expense management comes from routine administrative work, such as retrieving receipts, locating invoice images, preparing audit documentation, and reviewing user permissions. Individually small, these tasks collectively consume significant time across finance, audit, compliance, and expense management teams.

To address this, 麻豆原创 Concur announced new additions to . Building on capabilities already used to support tax, audit, compliance, and reporting, 麻豆原创 plans to introduce new micro-apps that help organizations export employee expense information, simplify access-governance reviews, and retrieve vendor invoice documentation in bulk.

The approach is intentionally practical: rather than redesigning entire processes, the micro-apps target specific operational pain points. Customer adoption of the existing micro-apps points to strong demand for this focused automation.

Additional micro-apps are planned for general availability in Q4 2026.

Turning spend intelligence into action

Most organizations have plenty of spend data. The persistent challenge is turning that information into timely decisions and meaningful business outcomes.

The innovations announced this year at 麻豆原创 Connect address that challenge from multiple angles, improving visibility into spend, bringing risk intelligence closer to procurement decisions, connecting procurement processes across complex enterprise landscapes, improving external workforce management, and reducing administrative effort across travel and expense.

Better decisions require better visibility, stronger context, and fewer barriers between identifying an issue and responding to it. This is the goal of Autonomous Spend Management: applying agentic AI across every spend process so disconnected workflows operate as one intelligent, governed system.

This matters more as procurement takes on a larger role in driving resilience, growth, and business performance. For organizations that can identify opportunities faster, respond to risk earlier, and spend less time on manual coordination, spend becomes a source of advantage rather than a cost to control.

Baber Farooq is chief marketing officer for Spend Management at 麻豆原创.

鈥淚t’s time to show you the Autonomous Enterprise in action underpinned by great customer stories,鈥� 麻豆原创 CEO Christian Klein told his keynote audience at the start of the event.  

Klein reminded the audience that 麻豆原创 introduced the Autonomous Enterprise at its 麻豆原创 Sapphire conference in May 2026 as 鈥渢he beginning of better.鈥� Since then, he said, 麻豆原创 has worked with hundreds of customers to implement Joule Work as the AI engagement layer for the Autonomous Enterprise. 

A new UI for AI 

鈥淭his month, we are rolling out Joule Work for all customers,鈥� Klein said, describing it as a new UI for AI. He noted that for decades, users had to learn how 麻豆原创 worked, but with Joule Work, 麻豆原创 learns how people work. 鈥淔rom now on, the more than 400 million 麻豆原创 users can talk in their own language to 麻豆原创, and Joule Work gets the job done.鈥� 

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Klein explained that Joule Work is based on three pillars: conversations, where users ask questions and delegate tasks to agents; spaces, which display content, insights, and shared work; and Joule Studio, where customers extend Joule or build agents tailored to their own processes.   

He called 麻豆原创鈥檚 deep business and data context its 鈥渟ecret sauce.鈥� That context includes 麻豆原创 Knowledge Graph, which maps more than 7 million data fields, 50 million tables, more than 50,000 public and private APIs, 400 data products, and extensive process knowledge. 鈥淭hat’s why Joule doesn’t guess,鈥� he said. 

麻豆原创鈥檚 110,000 employees are already using Joule to perform hundreds of thousands of tasks every day, he shared: 鈥淲e are already seeing productivity gains in central functions like HR, finance, and procurement of over 20% and even bigger gains in more complex analytical and planning tasks.鈥� 

麻豆原创 Autonomous Suite 

Klein then turned his attention to the 麻豆原创 Autonomous Suite, the second layer in the Autonomous Enterprise. The suite initially covers five domains: finance, procurement, supply chain, human resources, and customer experience. 麻豆原创 Autonomous Suite is designed for work where a good answer is insufficient and 鈥渢he right answer鈥� is required every time, he said.  

鈥淟LMs are probabilistic and only give you the most likely answer,鈥� Klein said. He contrasted that probabilistic approach with 麻豆原创’s embedded agents. Because the agents operate within deterministic application workflows, they use the same data, follow the same rules, and leave the same audit trail as the applications themselves. Customers can choose the level of autonomy appropriate to each process, retaining human approval where risk is high and allowing greater automation for routine work. 

Since 麻豆原创 Sapphire, Klein said 麻豆原创 has created more than 20 Joule Assistants and over 200 Joule Agents, and is aiming for more than 400 agents by year-end. 鈥淏ut the real story isn鈥檛 the number of agents. It鈥檚 the business outcomes they deliver,鈥� he said. 

麻豆原创 Business AI Platform 

鈥淭hese agents can only understand your business so well because of the 麻豆原创 Business AI Platform,鈥� Klein said. 鈥淭he platform gives customers the best frontier model for every agentic use case, the deepest out-of-the-box business context and 麻豆原创-managed governance.鈥�  

Building on Klein鈥檚 remarks, Manoj Swaminathan, president and chief product officer of 麻豆原创 Autonomous Suite, described the 麻豆原创 Business AI Platform as the infrastructure that enables the Autonomous Enterprise. The platform is organized around three capabilities: building agents, contextualizing them with business data, and governing how they operate. 

Swaminathan explained how the context layer makes agents more accurate. Joule Studio spans no-code and professional development and offers access to more than 70 models, a strategy he said reduces lock-in and controls token costs.  

鈥淛oule Studio is natively integrated with our context layer,鈥� he said. 鈥淪o, the agents you build are more accurate, faster to deploy, and more efficient to run. Our knowledge graph is the map with the processes, data flows, and business tools. The agents find the right processes among thousands and the right information among over 7 million feeds. 麻豆原创 Business Data Cloud brings that understanding to all your data, one consistent view, the processes, policies, and logic to make it meaningful.鈥� 

Swaminathan said no AI can compensate for a broken data model. To help agents understand customers鈥� business rules, 麻豆原创 Domain Models are trained on 麻豆原创鈥檚 code. For predictions, 麻豆原创 provides two engines grounded in how a customer’s business operates: 麻豆原创-RPT, 麻豆原创’s model family trained on its business data, and the Prior Labs tabular AI model.

Jerseys from Jersey 

During his section of the keynote, Jan Gilg, global president of Customer Success & Americas, used an imaginary startup 鈥� 鈥淛erseys from Jersey鈥� 鈥� to invite a handful of customers to the stage to answer his questions and validate aspects of 麻豆原创鈥檚 Autonomous Enterprise strategy.  

The customers included Novartis, which is piloting Joule sourcing agents for bid analysis and negotiation support; Morgan Foods, which described a supply-chain transformation built on 麻豆原创 S/4HANA and 麻豆原创 Integrated Business Planning; Nestl茅, which emphasized the importance of a unified digital core; and 麻豆原创 customer and partner PwC, which spoke about the value of the Industry AI portfolio from 麻豆原创. 

Summing up their comments, Gilg noted that the elements of the 麻豆原创 Autonomous Suite 鈥渁re more than a collection of functional components. It鈥檚 one system working together like connective tissue that provides connectivity, context, and control.鈥�

Gilg also made several product announcements, including the launch of 麻豆原创 Pay, an embedded payments service that can automatically execute and reconcile supplier payments once an invoice is approved. He also announced 麻豆原创鈥檚 planned acquisition of TechWolf, a Belgian workforce-intelligence startup designed to help close skills gaps. 

Security and governance 

In the closing section of the keynote, 麻豆原创 Chief Security Officer Marielle Ehrmann focused on trust and governance. She noted that ransomware handovers that once took eight hours now take 22 seconds with AI, and while 83% of enterprises use AI daily, only 13% have real visibility into it.  

鈥淭he biggest threat to companies is not malicious AI; it鈥檚 unmanaged AI,鈥� Ehrmann said. To counter that threat, she said every agent should have a verified owner, a risk tier, and scoped access rights, supported by zero-trust checks on identity, purpose, and data sensitivity as well as human oversight. 

She emphasized that 麻豆原创 Business AI Platform incorporates regulatory and localization requirements, applies user authorizations, keeps customer data from being used to train foundation models, and supports three levels of oversight: human-in-the-loop approval, human-on-the-loop monitoring, and human-in-command override authority. 鈥淭he more autonomously an agent operates, the tighter the oversight applied,鈥� Ehrmann said, calling the principle 鈥渇reedom within boundaries.鈥� 

A clear shift among customers 

Wrapping up the keynote, Klein emphasized that trust is key to everything 麻豆原创 does and has been for over 50 years. 鈥淲e are delivering the most trusted and governed AI in the industry,鈥� he said, but added, 鈥淎I also requires significant change management to ensure it delivers the desired outcomes for your business.鈥� 

That is where 麻豆原创鈥檚 business transformation solutions come in, he said. 麻豆原创 Signavio measures process value before and after a change to help justify token spending; 麻豆原创 LeanIX discovers and tracks AI agents; and 麻豆原创 WalkMe supports user adoption and trust. Klein also highlighted an agent-led migration toolchain. Together, he said, these capabilities mean that the days of multi-million-dollar migration spend are gone.

鈥淭his is no longer the start of something better. This is better,鈥� Klein told the audience. He described a clear shift among 麻豆原创 customers: 鈥淔rom manual steps to connected workflows, from reactive decision-making to predictive insights, from humans in spreadsheets to humans in and on the loop–all powered by our AI platform to keep AI accurate, governed, and extensible.鈥�

And, most importantly, Klein said, 鈥淚ts ready for you today鈥� This is the Autonomous Enterprise.鈥� 

Joule Work, Joule Assistants and 麻豆原创 Business AI Platform help organizations turn business AI into trusted outcomes across every core function.

LAS VEGAS 鈥� (NYSE: 麻豆原创) today showcased the Autonomous Enterprise in action at 麻豆原创 Connect, demonstrating how Joule Work and Joule Assistants generate value for customers across every line of business.

“This is a breakthrough moment for business AI,” said Christian Klein, CEO of 麻豆原创 SE. “The Autonomous Enterprise has arrived. With Joule and 麻豆原创 Autonomous Suite, built on 麻豆原创 Business AI Platform, we’re helping organizations like Novartis, Morgan Foods, Nestl茅 and PwC connect intelligence across every function to deliver trusted business outcomes.”

At 麻豆原创 Connect, these customers shared how the Autonomous Enterprise is already driving measurable value across their businesses:

• 鈥淲e’ve co-developed and recently launched a pilot of 麻豆原创’s Joule Sourcing Assistant,鈥� said Christoph Buerki, Head of Procurement, Novartis. 鈥淥ur vision is for AI agents to handle the manual heavy lifting, enabling sourcing professionals to focus on strategy, supplier engagement and value creation.鈥�
• 鈥淎t Morgan Foods, we鈥檙e already putting the pieces in place for agentic adoption, especially through our technical foundation. The biggest shift will be moving from reactive to predictive, where agents can connect demand signals, inventory levels and supplier status faster than ever before,鈥� said Steve Hankins, Chief Financial Officer, Morgan Foods, 鈥淥ur superpower will come from people on top of agents. Our approximately 1,000 employees are what make our supply chains work鈥攖he technology helps make them even better.鈥�
• 鈥淥ur 麻豆原创 S/4HANA transformation across 140 countries is creating a connected digital core with consistent processes, trusted data and greater visibility across markets and functions. With that foundation, Joule and the Accounts Receivable Assistant can automatically prioritize collections work based on risk and business context, recommend the next best action and help our finance teams respond faster to change,鈥� said Luca Dell’Orletta, Global Head IT Innovation & Enterprise Architecture, Nestl茅.
• 鈥淚n professional services, billing can be one of the more error-prone processes, with accuracy playing an important role in the client experience. 麻豆原创鈥檚 Billing Assistant brings greater intelligence to this critical process, helping identify potential issues earlier so our people can deliver better client outcomes and build stronger relationships,鈥� said Jill Notz, Chief Accounting Officer, Controller, Business Services Leader, PwC. Building on the success of the Billing Assistant, PwC and 麻豆原创 are into new areas of joint AI innovation.

麻豆原创’s Autonomous Enterprise Scales Up

Joule Work is beginning its customer rollout as a new AI user interface that lets employees interact with 麻豆原创 solutions in their own language and complete work across 麻豆原创 and third-party data. Grounded in business context from 麻豆原创 Knowledge Graph, which maps more than 7 million data fields, Joule provides information users can rely on. At 麻豆原创, Joule Work is already live with 110,000 employees, with the company seeing 20% productivity gains across finance, HR and procurement. A select group of customers also is using Joule Work in their business environments.

• 鈥淧artnering within the Early Adopter Program for Joule Work Desktop has delivered more momentum in just a few months than we saw in all the years before,鈥� said Peter Wied, Director of Complexity Management at Reinhausen. 鈥淲e see huge potential in making access to our 麻豆原创 S/4HANA data significantly easier and faster through natural language. This has the potential to permanently transform how our teams interact with business data.鈥�
• 鈥淭he dedicated team has been phenomenal. Their proactive communication, focus on accelerating architecture activation, rapid remediation of defects and overall support have enabled us to become Joule ready much sooner than would have been possible had we needed to navigate these challenges on our own,鈥� said Keith Smith, 麻豆原创 Platform Architect, CONA Services. 鈥淭he CONA team is excited about the progress made to date and looks forward to exploring and testing Joule’s capabilities in greater depth over the coming months as we continue our adoption journey.鈥�

When a query is not enough, Joule Assistants execute operational work directly within business workflows, using established data, authorizations and audit trails. Customers control the level of autonomy. 麻豆原创’s approach is also open: through the Agent2Agent protocol, Joule can connect with third-party AI and agents, bringing governed business context into broader AI workflows.

At 麻豆原创 Connect, 麻豆原创 showcased how these capabilities generate outcomes across 麻豆原创 Autonomous Suite:

• In finance, controllers can automate revenue recognition, disclosures and trade compliance, with early deployments of the International Trade Assistant reducing trade classification effort by up to 50%.  
• In supply chain, planners can turn multi-hour disruptions into one-click resolutions across planning, manufacturing and logistics.
• In HR, leaders can determine the best way to close workforce gaps, while employees can make smarter benefits choices tailored to their needs.
• In procurement, decision-makers can identify savings opportunities against peer benchmarks and manage the full contingent workforce life cycle.
• In customer experience, organizations can turn customer engagement into sales opportunities with AI-powered campaigns, quoting and customer workflows.
• Across industries, 麻豆原创 is collaborating with customers to apply AI to specialized industry processes, helping organizations in manufacturing, retail, commodity trading and asset-intensive industries improve decision-making, automate routine actions and build more resilient operations.

The Platform Powering Business AI You Can Trust

麻豆原创 Business AI Platform gives organizations one place to build, contextualize and govern AI across 麻豆原创 and third-party environments. With Joule Studio, business users and developers can build and extend skills and agents from no-code to pro-code workflows, choosing from more than 70 AI models. 麻豆原创 Business Data Cloud and 麻豆原创 Knowledge Graph ground those agents in trusted business data and context, helping organizations select the right model for each use case and better manage AI value and consumption.

麻豆原创-managed governance helps organizations scale AI with transparency, accountability and control. 麻豆原创 AI Agent Hub in 麻豆原创 LeanIX solutions provides a central inventory of enterprise agents, while 麻豆原创鈥檚 independently ISO/IEC 42001-certified governance architecture supports regulatory requirements, established authorizations and auditable AI operations.

To help organizations adopt AI at scale, 麻豆原创’s Business Transformation Management portfolio, including 麻豆原创 Signavio, 麻豆原创 LeanIX and 麻豆原创 WalkMe solutions, provides the toolchain to analyze processes, govern applications and agents, and drive adoption across the enterprise.

麻豆原创 Brings Embedded Payments to Cloud ERP

麻豆原创 also announced that it is entering the payments market with 麻豆原创 Pay, powered by Tereina, an 麻豆原创 company. Embedded directly in 麻豆原创 Cloud ERP, 麻豆原创 Pay executes and reconciles payments within the same workflow when an invoice is due, reducing manual file handling and external processing dependencies, while giving customers greater control.

Partners Expand the Reach of Autonomous Business

麻豆原创 is extending the Autonomous Enterprise beyond 麻豆原创’s own application portfolio through new partnerships that bring specialized intelligence directly into 麻豆原创 workflows.

A new partnership between 麻豆原创 and Moody鈥檚 Corporation is designed to embed Moody鈥檚 supplier risk monitoring data into 麻豆原创 Ariba Supplier Lifecycle and Performance. This gives procurement teams continuously updated insights into supplier financial health, operational risk and regulatory status at the point of decision. Organizations will be able to move from periodic risk reviews toward continuous monitoring, enabling Joule Agents to flag supplier risk signals and surface alternatives before disruption affects the business.

An expanded partnership with ORO Labs brings procurement orchestration to 麻豆原创 customers as a solution extension. 麻豆原创 Ariba Procurement Orchestration by ORO Labs is a purpose-built orchestration layer that connects procurement workflows end to end across heterogeneous enterprise environments, giving business users a seamless experience for intake, actions and visibility.

Visit the . Get 麻豆原创 news via  and .

About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE: 麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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Supply chain leaders today operate in an environment where disruptions are constantly changing, customer expectations shift quickly, and the window for effective response keeps shrinking. Organizations need more than digitalization. They need platforms that connect people, processes, data, and business networks鈥攁nd that turn that connectivity into faster, better decisions.

Our vision: Autonomous Supply Chain Management

The next frontier in supply chain is not just connectivity, it is decision intelligence. At 麻豆原创, represents our vision for how organizations will run their businesses in the future, with data, business context, policy, and AI reasoning working together so that the right decisions happen faster, more consistently, and at scale, while human judgment remains central.

is a practical step toward that vision, where people define goals and priorities, AI assistants orchestrate activity across domains, and agents execute the work within governed, end-to-end processes. Enterprises rely on fully autonomous agents to run supply chain processes and decisions within guardrails defined by the organization. Reaction times to disruptions compress from days to minutes. Data collection across organizational silos happens in near real time. Rather than manually collecting and interpreting data, planners receive auto-generated scenarios that are pre-validated and ready for a decision. That speed advantage is transformative.

But the value goes beyond speed. Organizations learn from past decisions and harmonize decision-making across the enterprise, leading to consistently better outcomes over time. AI delivers the greatest value when it is embedded where work actually happens, grounded in deeply integrated processes and trusted data.

Our approach

A truly integrated supply chain platform does more than connect data鈥攊t connects decisions. That is the principle that guides how we have built the , and it is what we believe sets 麻豆原创 apart.

Our breadth across execution, transactions, business networks, finance, and AI is unique. No other vendor brings together operational systems, trusted business data, and intelligence and orchestration in a single, deeply integrated suite. That breadth matters because supply chain decisions do not happen in isolation鈥攁 sourcing decision affects manufacturing capacity, which affects logistics, which affects financial commitments. When those systems are connected, decisions improve across the board.

We organize our platform around three layers. The first is operational systems, including applications such as , , , , , , and . These are where supply chain work happens. The second is trusted business data, anchored by , which aggregates data from 麻豆原创 and third-party sources to help give organizations a unified, real-time view across the enterprise. The third is intelligence and orchestration, delivered through , our AI engagement layer, which brings together agentic AI, embedded analytics, and network-enabled execution to help organizations move from reactive problem-solving to proactive decision-making.

This architecture helps organizations standardize processes across domains, reduce dependence on fragmented point solutions, and improve coordination from sourcing through final delivery鈥攍inking operational, financial, and network outcomes in real time.

Putting innovation into practice

We see demand for capabilities that bring together operational data, business context, and AI-powered insights, and we are actively investing to meet that need. New Joule Assistants are being embedded across planning, manufacturing, logistics, asset management, and supplier collaboration, helping teams act on changes faster and reduce time spent on manual coordination.

Alongside these assistants, we are delivering purpose-built AI agents across supply chain processes, designed to take guided action within defined business guardrails while keeping people firmly in control. These capabilities are becoming available in phases through 2026, aligning with customers鈥� existing 麻豆原创 landscapes.

Delivering real results for customers

Ultimately, in our opinion, recognition like this is only meaningful when it reflects real impact for the organizations we serve. Takeda Pharmaceuticals International AG, a global leader in R&D-based biopharmaceuticals, offers a concrete example of what this looks like in practice. Using 麻豆原创鈥檚 supply chain planning assistant, Takeda has moved from manual root-cause analysis to AI-detected diagnostics and AI-suggested remediation, with automated performance tracking that enables a self-healing supply chain capability.

鈥淎I represents the key enabler for Takeda鈥檚 transformation for the future,鈥� said Rebecca Kaufmann, senior vice president and head of Enterprise Platforms at Takeda Pharmaceuticals. 鈥淲e are combining the 麻豆原创 industry and technology knowledge with our organizational real-life experience. The supply chain planning assistant will provide us with AI-detected root causes and AI-suggested remediation and also automated performance tracking resulting in a self-healing capability.鈥�

Looking ahead

Supply chains don鈥檛 become autonomous overnight. This evolution happens workflow by workflow, expanding automation where it delivers real value, while keeping people firmly in control. Supply chain teams are increasingly looking to spend less time monitoring and firefighting and more time shaping decisions, managing trade-offs, and building resilience.

We are grateful to the many customers, partners, analysts, and 麻豆原创 teams whose collaboration and insights help shape our products and strategy. While we are honored by this recognition, we view it as an important milestone for us rather than a destination. We remain committed to ongoing innovation that helps organizations transform their supply chains into strategic sources of competitive advantage鈥攁nd we thank our customers for their trust in that journey.

Devesh Mishra is GM and chief product officer for 麻豆原创 Supply Chain Management.

*Gartner, Magic Quadrant for Supply Chain Management Suites, Jan Snoeckx, Balaji Abbabatulla, Christian Titze, August 11, 2026.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.
Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner鈥檚 business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

Managing logistics operations has become increasingly challenging in recent years. The coronavirus pandemic and its repercussions caused unprecedented disruption across global supply chains, and today, hostilities in the Strait of Hormuz are severely hindering shipping traffic.

In situations like these, the only option many companies have to protect their manufacturing and delivery timelines from delays and uncertainties is to carry larger inventories. This inevitably leads to higher costs.

Now, a combination of container tracking technology and real-time data is revolutionizing supply chain visibility, enabling businesses to keep their inventories at efficient levels. Hapag-Lloyd, the world’s fifth-largest shipping company, provides live position data for its containers. 麻豆原创 uses this information in its ERP systems and 麻豆原创 Business Network Global Track and Trace cloud solution, connecting it to the shipment and material data that is stored there. Which means that, as well as being an 麻豆原创 customer, Hapag-Lloyd is an 麻豆原创 supplier and partner, too.

Karsten Schmidt, director and product owner of the Live Position and Track & Trace tools at Hapag-Lloyd, and Sven York Pohl, chief expert for Digital Adoption at 麻豆原创 SE, discuss how the collaboration between the companies began, how it is benefiting users already, and what opportunities lie ahead.

Q: Tracking technology has advanced rapidly in recent years. What sparked the wave of innovation we鈥檝e seen here?

Pohl: During the coronavirus pandemic, we experienced serious delays in the movement of goods and materials. And we realized that logistics processes need to be much more transparent.

Schmidt: Until recently, we could only track certain milestone events in sea shipping, such as a container arriving at a port or being loaded onto a ship. We knew when a container had been loaded onto a ship or when it left the Port of Hamburg, but if it failed to arrive in Munich as planned, we had no way of knowing what had happened to it.

Q: So how do you track containers today?

Schmidt: After the pandemic, we decided to equip all our dry containers with IoT tracking devices that continuously transmit location data. By mid-2024, we had fitted these devices to 90% of our container fleet. Since then, we have been able to track more than 2 million containers worldwide and provide position data every 15 minutes for shipments on land鈥攁nd every six hours for shipments by sea. This means that our customers can check the precise location of 鈥渢heir鈥� containers online in real time.

Q: How did the collaboration between Hapag-Lloyd and 麻豆原创 begin?

Pohl: I was involved in an 麻豆原创 transformation project at Hapag-Lloyd, which meant I had frequent meetings with Karsten. We realized early on that position data had immense potential, both for Hapag-Lloyd as a shipping company and for its customers. If you know exactly when an intermediate product will arrive, or how many days late it will be, you can plan your downstream production steps with pinpoint precision. And this obviously works best if position data is visible not only on a separate website, but also in the applications you use to manage your production and other business processes. So Karsten and I began discussing how we could feed position data into 麻豆原创 ERP systems.

Q: Which 麻豆原创 applications use this data?

Pohl: The 麻豆原创 Business Network Global Track and Trace cloud solution offers companies transparent shipment information in real time along the entire supply chain. And it enables this data to be embedded natively in back-end systems. Which means, for example, that you can integrate automated alerts directly into 麻豆原创 S/4HANA that show where a container is currently located. The data can also be leveraged in 麻豆原创鈥檚 cloud-based supply chain collaboration platform, 麻豆原创 Business Network for Logistics, to seamlessly connect shippers with logistics services providers and carriers. And, aside from ensuring visibility, real-time data such as that provided by Hapag-Lloyd maximizes supply chain security and drives sustainability by enabling businesses to track materials from their source to the finished product.

Q: Who benefits most from Hapag-Lloyd’s tracking data?

Schmidt: Logistics managers, definitely. Because they need precise information about where their containers are located and when they will arrive. The tracking data also provides insights into how sustainable a transportation chain is. Warehouse planners benefit too, because they can keep inventory levels as low as possible, without them dropping too low. And as well as enabling carriers to plan their routes with maximum efficiency, tracking data can also help streamline and optimize payment processes.

Q: Would you say that the current conflict in the Middle East has highlighted the value鈥攁nd necessity鈥攐f using tracking technology to plan shipping routes?

Schmidt: Absolutely. A huge number of containers have been transported from the Persian Gulf across Saudi Arabia to the Red Sea port of Jeddah to be shipped on from there. Our container tracking solution keeps me constantly updated on the land route I have chosen and on where my container is currently located.

Q: What happens if the container is held up somewhere? How does the system help?

Schmidt: That鈥檚 what we鈥檙e working on right now. Usually, when customers want to know where their container is, they call our customer service number. But with 15,000 containers held up in the Persian Gulf, we were unable to handle the sheer volume of inquiries we received by phone. So we gave all our customers access to our live positioning service, even those who had not booked it. The solution we implemented to deal with this exceptional situation showed us the potential that was there going forward to simplify our customers鈥� processes鈥攁nd our own.

Pohl: Looking ahead, 麻豆原创 users will be able to ask their software what options they have when shipments get held up, and what alternative modes of transportation are available to them.

Schmidt: If, for example, a ship is delayed and misses its scheduled rail connection, the system will provide a predictive service, telling the user whether onward transportation by truck is possible and how much longer the journey will then take.

Pohl: We will also use Joule, the flagship AI brand that is built into 麻豆原创鈥檚 cloud portfolio, for this service, so that users will be able to ask AI to suggest specific actions.

Schmidt: Obviously, when goods are transported over long distances, and especially by sea, you can never rule out delays entirely. But what we can do is remove that feeling of helplessness and of having no room to maneuver when events occur that are out of my control.

Top image via Hapag-Lloyd

With the new data center in India complementing existing ones in Europe, the U.S., and Saudi Arabia, 麻豆原创 has dramatically strengthened the data federation capabilities of , linking together the procurement processes of businesses and their trading partners across the globe.

With this milestone, 麻豆原创 has delivered on a crucial promise made to a highly consequential set of customers in the Indian subcontinent and beyond. Later this year, the India data center will extend data federation capabilities for as well.

But what is data federation? And why is it so consequential for organizations in India and elsewhere?

Data federation assembles a unified view of data from disparate sources without physically moving or copying it. Trading partners can thus exchange goods and services across international borders while the data underlying those transactions remains stationary. By preserving the integrity of data where it resides, federation facilitates mission-critical operational processes on a global scale while achieving regulatory consistency with compliance requirements that arise at a national level. For example, if a buyer鈥檚 data resides in 麻豆原创 Business Network鈥檚 India data center but its supplier鈥檚 data sits in the U.S. data center, federation provides both parties with access to each other鈥檚 data without impinging on either nation鈥檚 policies governing the residency of that data. This becomes especially important as new legislation gathers pace around the world in response to rising concerns over individual privacy, national security and commercial sectors considered sensitive.

Enabled by , 麻豆原创 Business Network and its data federation capabilities are now built on the kind of modern, connected foundation required for the next era of cloud-based commerce. Beyond improved scale, resilience, and regional compliance, 麻豆原创 Business Technology Platform helps create the basis for agentic artificial intelligence, automation, richer analytics, stronger security, open extensibility, and seamless cross-麻豆原创 workflows and processes. The result is a network that can not only connect partners globally but also help customers to conduct business more intelligently, respond faster to change, and drive greater value from every interaction across procurement, supply chain, logistics, asset collaboration, and working capital management.

To collaborate with their trading partners on these and other core business processes, companies conducting business in India require a cloud-based platform that provides secure infrastructure for building resilient domestic supply chains while maintaining global connectivity, thus maintaining sensitive procurement, supplier, and manufacturing data within Indian jurisdiction. 麻豆原创 Business Network furthers these objectives with our newly launched data center in Mumbai, where data is localized in a manner compliant with (MeitY) guidelines, with a MeitY-empaneled cloud service provider.

While supporting compliance within an increasingly complex regulatory environment, data federation offers numerous technical advantages as well, especially in hybrid or multi-cloud environments. These benefits include cost efficiency, unified governance and security, and faster response times compared to accessing servers in distant regions. Yet the most valuable competitive advantage provided by data federation may be the most elusive: peace of mind for business leaders amid the ever-looming threat to supply chains posed by disruption.

To counter that threat鈥攚hether arising from geopolitical conflict, labor unrest, financial shock, natural disaster, or other upheaval鈥攂usinesses are turning increasingly to data federation and other cloud-based solutions to extend visibility and instill resilience across their operations and those of their trading partners. With the opening of our new data center in Mumbai, we are incredibly excited to strengthen our relationships with customers throughout India and accelerate the value available to them from 麻豆原创 Business Network.

For information on 麻豆原创 Supply Chain Management and how 麻豆原创 solutions are equipping enterprises with the AI capabilities needed to instill resilience, counter disruption, and foster collaboration, visit and .

J枚rn Keller is executive vice president and chief product officer of 麻豆原创 Business Network.

To succeed, manufacturers need more than incremental improvements or siloed optimizations. They need to orchestrate their operations end to end with connected processes and trusted data, so they can respond faster to change, operate more efficiently, remain compliant, and continue to grow鈥攅ven as disruption is constant.

At Hannover Messe 2026, the world鈥檚 leading stage for industrial transformation, 麻豆原创 will introduce a new set of AI鈥憄owered manufacturing and supply chain innovations. These innovations help companies ensure business continuity by orchestrating people, processes, and technology across their extended enterprise, turning volatility into an opportunity for resilience, efficiency, and customer impact.

From AI insight to AI in execution

For years, manufacturers have invested in analytics and dashboards to improve visibility. But visibility alone does not prevent disruption. What鈥檚 required now is AI embedded directly into core business processes, where intelligence can analyze alerts, reason over business impact, and provide real-time solutions to resolve issues. With agentic AI, companies are now able to go a step further: automating the right actions for the best outcomes, with humans remaining in the loop wherever critical decisions are required.

麻豆原创 is operationalizing AI at industrial scale by embedding AI agents directly into supply chain and manufacturing workflows and contextualizing them with trusted enterprise and network data. Built on harmonized industrial, transactional, and network data, these agents can move beyond analysis to real鈥憈ime prediction and execution, working to deliver resilience, regulatory readiness, and measurable customer impact from day one. Creating tangible ROI is what matters most鈥攚hether by reducing unplanned downtimes, scrap, and rework, or by increasing quality and ultimately production output.

Orchestrating the supply chain end to end with AI

At the center of 麻豆原创鈥檚 focus at Hannover Messe is .

麻豆原创 helps manufacturers connect processes and data not only across internal teams, but also across company boundaries鈥攚ith suppliers, logistics partners, and service providers. By using AI agents to connect design, planning, procurement, manufacturing, logistics, service, and asset management鈥攁nd by integrating seamlessly with ERP and line-of-business systems鈥斅槎乖� helps break down silos that slow decision-making and increase operational risk.

This new agentic orchestration is powered and governed by a portfolio of intelligent applications that act, not just analyze, enabling faster, more coordinated responses without sacrificing quality, control, or growth.

New AI agents redefining planning, service, and operations

At Hannover Messe 2026, 麻豆原创 will showcase AI agents that help manufacturers and operators reduce time to value, stabilize operations, and improve service levels amid ongoing disruption. As a precursor to broader announcements planned for 麻豆原创 Sapphire, these agents demonstrate how agentic AI delivers practical benefits across all supply chain domains. Here are a few examples:

Manufacturing

• Production Master Data Agent helps automate and optimize the creation and maintenance of production master data. By leveraging the bill of materials, the agent can generate production routings鈥攊ncluding operations and work centers鈥攁nd help ensure components are correctly assigned across the production process. This helps reduce manual effort, accelerate production setup, and keep production data accurate as requirements change. General availability is planned for Q2 2026.
• Production Planning and Operations Agent enables planners to release production orders using natural language while automatically validating material availability, capacity, and scheduling constraints. Joule provides recommendations鈥攕uch as alternative components or rescheduling options鈥攖hat planners can review and approve, reducing manual work and keeping production aligned with real鈥憌orld conditions. General availability is planned for Q2 2026.

Assets & services

• Field Service Dispatcher Agent can improve service responsiveness and asset uptime by dispatching the right technician based on skills, location, asset condition, and priority鈥攄riving faster resolution and better workforce utilization. General availability is planned for Q2 2026.
• Alert Processing Agent can enrich operational alerts using past incidents, resolutions, and contextual signals and recommend clear, data鈥慸riven actions to help teams resolve issues faster and improve operational reliability. General availability is planned for Q3 2026.
• Asset Health Agent analyzes time鈥憇eries health indicators to assess and summarize the current and projected health of individual and multiple technical objects. By forecasting when assets are likely to become critical and alerting users in real time, the agent supports condition鈥慴ased maintenance and helps minimize downtime while ensuring asset availability. General availability is planned for Q3 2026.

AI agents advancing logistics execution

• Material Reservation Agent helps ensure materials are available when and where needed by automating reservation creation and maintenance based on business rules鈥攔educing delays, improving inventory accuracy, and optimizing working capital. General availability is planned for Q2 2026.
• Outbound Task Orchestration Agent can protect customer service levels by detecting and resolving picking and packing issues in real time, orchestrating corrective actions to support on鈥憈ime, accurate delivery. General availability is planned for Q2 2026.

Aligning workforce, logistics, and assets in real time

Operational resilience also depends on synchronizing people with all other resources as conditions change.

With , skills, certifications, availability, and labor rules are aligned with real-time operational demand so workforce plans can adjust automatically as production changes.

In logistics, , together with the new solution, helps organizations reduce transportation costs, accelerate warehouse execution, and improve delivery performance. Using conversational interaction with Joule, order managers can prioritize fulfillment while automatically accounting for availability and scheduling constraints.

Asset and quality operations also benefit from embedded intelligence. AI-assisted anomaly detection and alert processing in helps teams identify risks earlier, prioritize actions, and reduce unplanned downtime. In parallel, 麻豆原创 Document AI can automate the processing of incoming quality certificates, improving throughput, data quality, and compliance at scale.

Regulatory readiness and what鈥檚 next

As regulatory requirements tighten, 麻豆原创 is expanding support for Digital Product Passports as part of , aligned with the EU鈥檚 Ecodesign for Sustainable Products Regulation (ESPR). These capabilities help manufacturers create ESPR鈥憆eady product records capturing environmental impact, material composition, repairability, and recyclability data. General availability is planned for Q2 2026.

Expanded 麻豆原创 Business Network capabilities also deliver built鈥慽n e鈥慽nvoicing compliance and data-residency support, enabling secure partner collaboration, synchronized logistics, and improved delivery performance across global networks.

See it live at Hannover Messe 2026

Taken together, these innovations reflect a shift from reactive management to intelligent execution鈥攚here AI is embedded directly into the processes that keep manufacturing and supply chains running today while laying the foundation for the next wave of innovation that will be unveiled at 麻豆原创 Sapphire.

Visit 麻豆原创 at booth F08 in Hall 15 at Hannover Messe 2026, April 20鈥�24, to see how AI-infused orchestration, embedded AI agents, and end鈥憈o鈥慹nd supply chain applications are redefining manufacturing.

Dominik Metzger is president and chief product officer for 麻豆原创 Supply Chain Management.

We believe this recognition reflects 麻豆原创鈥檚 continued focus on helping organizations run resilient, efficient, and increasingly intelligent transportation operations in a rapidly changing global logistics environment.

Magic Quadrant reports are a culmination of rigorous, fact-based research in specific markets, providing a wide-angle view of the relative positions of providers in markets where growth is high and provider differentiation is distinct.

We believe 麻豆原创鈥檚 placement as a Leader underscores our commitment to ongoing innovation across transportation, logistics execution, and supply chain orchestration.

Addressing today鈥檚 transportation challenges

Transportation operations are under constant pressure, from cost volatility and capacity constraints to sustainability requirements and rising customer expectations. Organizations need solutions that help them plan, execute, and adapt across increasingly complex networks while maintaining visibility and control.

and are designed to support these needs through a holistic, end鈥憈o鈥慹nd approach. By connecting freight procurement, planning, execution, and settlement on a single platform, 麻豆原创 helps organizations respond more effectively to disruptions, align transportation decisions with broader supply chain objectives, and support compliance with regional and industry鈥憇pecific requirements.

A platform built for complex, global operations

麻豆原创 Transportation Management supports organizations operating across multiple modes, regions, and industries. Built to scale with business growth, the solution is designed to support complex, global transportation networks while enabling standardization and process consistency across operations.

Customers across industries鈥攊ncluding consumer products, chemicals, agriculture, mining, retail, wholesale distribution, and industrial manufacturing鈥攗se 麻豆原创 Transportation Management to manage complex transportation networks at scale. Industry鈥憇pecific capabilities from 麻豆原创, such as support for automotive and mill and mining operations, along with integration with , help organizations address specialized requirements while accelerating time to value. Dedicated industry business units further tailor go鈥憈o鈥憁arket strategies and solutions to industry鈥憇pecific challenges.

Advancing transportation management with AI

Data-driven decision-making is increasingly essential for transportation operations. 麻豆原创 continues to invest in AI-driven capabilities that help automate processes, improve responsiveness, and increase productivity.

Recent innovations include AI-assisted use cases such as goods receipt processing, as well as the integration of conversational planning into transportation planning workflows. These capabilities are designed to help planners and operators work more efficiently by reducing manual effort and supporting faster, more informed decisions across execution and settlement processes. 麻豆原创 Joule for Consultants is another recent AI innovation that accelerates solution adoption by offering instant, expert-level guidance and best practice recommendations for solution configuration.

Supporting a connected logistics landscape

Transportation does not operate in isolation. 麻豆原创鈥檚 logistics portfolio brings together transportation, warehousing, and business network collaboration on a cohesive foundation.

This includes the recent general availability of , a new solution designed to support regional and local distribution operations by combining transportation execution, warehouse processes, and carrier collaboration in a single offering. 麻豆原创 Logistics Management complements 麻豆原创 Transportation Management by helping organizations extend standardized logistics processes to satellite locations and growing operations, supporting broader adoption while reducing complexity. 麻豆原创 Logistics Management can be deployed alongside 麻豆原创 Transportation Management to support multi-tier transportation operations, providing the right tool for each level of complexity.

麻豆原创 Transportation Management, together with other logistics solutions from 麻豆原创, helps organizations modernize their logistics operations in a way that aligns with their broader ERP and supply chain strategies as they progress on their transformational journeys via or .

Why organizations choose 麻豆原创 Transportation Management

Organizations choose 麻豆原创 Transportation Management to support complex transportation requirements across global and regional operations. The solution offers broad functional coverage, deep integration across the 麻豆原创 supply chain portfolio, and the flexibility to support both advanced transportation networks and evolving business needs.

With continued investment across 麻豆原创 Transportation Management, 麻豆原创 Logistics Management, warehousing, and 麻豆原创 Business Network for Logistics, 麻豆原创 remains focused on helping organizations operate resilient transportation processes while supporting both global complexity and localized execution models.

Explore how 麻豆原创 Transportation Management can .

Till Dengel is global head of Product Marketing for Logistics and Asset & Service Management at 麻豆原创.

*Gartner, Magic Quadrant for Transportation Management Systems, Brock Johns, Oscar Sanchez Duran, Manav Jain, 30 March 2026.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner鈥檚 business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates.

The company manages an extensive portfolio of more than 125,000 products. Despite its strong market position, digitalizing procurement across diverse customer environments remains a key challenge, particularly in e-procurement, where large customers often have very different requirements, even when market standards exist.

To address this, W眉rth recognized the need to better connect procurement processes and now collaborates closely with leading e-procurement systems and platforms. The company has driven the harmonization of customer processes and ensured seamless onboarding to . At the same time, W眉rth actively supports its customers in harmonizing and digitalizing their own internal workflows.

As the world鈥檚 largest procurement platform, 麻豆原创 Business Network enables more efficient procurement and automated order processing and provides end-to-end transparency across the purchase-order鈥憈o鈥慽nvoice flow between W眉rth and participating customers. This scope involves purchasing orders, delivery confirmation, and invoices, with exceptions managed through clearly defined workflows.

Save time and boost efficiency: seven minutes saved per order

Manual processing of orders, sent as PDFs or via non鈥慽ntegrated channels, creates disproportionate effort, especially in relation to the order value, since indirect materials often involve smaller order values with many order items.

 With automation, W眉rth saves approximately seven minutes per order on average — approximately 490,000 minutes annually or about 8,167 hours. The platform enables digital order transmission, catalog exchange, and automated invoice matching, materially improving process efficiency.

Seamless customer purchasing journey

With around 3,000 sales representatives in Germany, more than 600 pick-up branches, and numerous on-site storage solutions, including automated dispensing machines, W眉rth offers customers a truly omnichannel purchasing experience. Through 麻豆原创 Business Network, all these touchpoints can be seamlessly integrated, giving customers that adopt this approach full transparency, as every order becomes visible directly within their own system.

One construction industry leader worked with W眉rth to integrate dispensing machines and branch pick鈥憉ps into 麻豆原创 Business Network, digitalizing its procurement processes. This integration has largely eliminated manual activities in day鈥憈o鈥慸ay order handling of standard processes. Exceptions are automatically identified and routed through defined workflows, while payment instructions are triggered once the purchase order, goods confirmation, and invoice are successfully matched.

Stronger supplier-customer partnership

Beyond operational savings and improved collaboration, W眉rth enhances the customer experience through near-real-time integration across procurement, invoicing, and logistics. Digitalized procurement processes help meet customer requirements more reliably and further strengthen the supplier-customer partnership.

To see how W眉rth streamlined procurement with 麻豆原创 Business Network and significantly reduced manual effort, .

But what happens when the bill comes due, so to speak, from local jurisdictions? How may a business transact commerce globally while adhering to an emerging set of electronic-invoicing requirements that differ among countries?

Global visibility across multiple tiers of the supply chain

As global supply chains weather shifting tariff policies, geopolitical tensions, and climate events, business leaders have turned to cloud-based business networks to instill operational resilience, extend transparency, and foster collaboration. The convergence of data, applications, and artificial intelligence capabilities enable businesses to manage supply chains, procurement, logistics, asset maintenance, working capital, dynamic discounting, and other crucial interdependencies with comprehensive reach. Yet just as digital platforms foster connected commerce, they also facilitate regulatory oversight of the very same activity. That which simplifies business processes can at the same time invite complexity in the regulations governing them, particularly when the fine print varies by jurisdiction. Call it a paradox of procurement, or an irony of the intelligent enterprise.

The proliferation of legislation mandating electronic invoicing reflects a desire on the part of governments to bolster tax compliance, streamline financial reporting, combat fraud, and document the ethical sourcing of product components. To aid with compliance in the jurisdictions where they transact, can support buyers and suppliers alike with the necessary workflows for invoice generation, submission, receipt, and storage鈥攁ll while safeguarding otherwise confidential data. Our prioritizes business-to-business collaboration by providing localization support for 41 countries, tailoring requested data to required format, and connecting businesses directly with trading partners and tax authorities. 麻豆原创 Business Network can integrate seamlessly with government electronic-invoicing portals through partners as well as through .

Electronic-invoicing capabilities take shape around emerging legislation

Already in 2026, new electronic-invoicing mandates have taken effect in , , and , with the and set to follow suit later in the year. Though it takes shape differently around the world, the trend toward electronic invoicing is unmistakable. Requirements range from periodic reporting to continuous transparency, from preapproval of transactions by tax authorities to notification after the fact, from country-specific formats to , and so on. In India, Malaysia, and Romania, for example, suppliers must clear invoices with tax authorities, whereas in Belgium, Germany, and Japan invoices must conform to a particular format. In France and the United Arab Emirates, meanwhile, a specific platform or network must be engaged. requires businesses to issue and receive invoices via its Sistema di Interscambio (SDI) platform, using a country-specific XML format called FatturaPA. By contrast, permits UBL, CII, and ZUGFeRD formats but takes an ambivalent approach as to method of transmission.

For each of these countries, 麻豆原创 Business Network can provide a solution. Connectivity to Italy鈥檚 SDI portal is natively embedded, obviating any need for additional licensing. For Germany, invoices sent through 麻豆原创 Business Network arrive in the UBL format. Organizations with a license for the cloud edition of the can even receive invoices originating outside 麻豆原创 Business Network, such as via e-mail or the pan-European Peppol procurement system.

Not only can 麻豆原创 Business Network accommodate the different formats set into law, but other invoicing attributes as well. Consider the obligation to archive. In Germany, invoices must be kept on hand for eight years. In France, it鈥檚 a decade. Elsewhere, mandates vary or may not apply. 麻豆原创 Business Network offers the flexibility to match business rules, or the parameters set by organizations within which transactions may proceed with trading partners, to all manner of regulatory requirements. This can prove especially valuable with orchestrating documents and processes that span sourcing, procurement, and finance鈥攃orporate functions that, prior to the advent of cloud-based networks, had often operated in relative isolation. 麻豆原创 Business Network can also provide businesses with the end-to-end visibility and鈥攅qually important鈥攖he analytics to assess performance, gauge against benchmarks, and identify opportunities for growth and collaboration.

For the emerging set of electronic-invoicing mandates across the globe and other compliance-related processes, . That鈥檚 because no matter where commerce takes place or in which local currency, C-suite leaders understand one thing is priceless: peace of mind. Only a cloud-based network supple enough to carry out operational processes on a global scale yet sufficiently nimble to adhere strictly to electronic-invoicing requirements and other regulations that typically arise on a national level can instill the confidence that businesses need to thrive in these turbulent times.

Learn how 麻豆原创 Business Network can by streamlining business processes, increasing visibility, and connecting to new buyers.

J枚rn Keller is executive vice president and chief product officer for 麻豆原创 Business Network.

At , I moderated a roundtable with supply chain and transformation leaders from Toyota, L鈥橭r茅al, Owens Corning, Ecolab, American Airlines, and Bayer. Across industries, one theme was clear: transformation succeeds when it is grounded in clarity, centered on people, and focused on customer impact.

If you can鈥檛 name the problem, don鈥檛 buy the technology

The most effective transformations begin with a clear articulation of the problem to be solved, the value at stake, and the outcomes expected. Too often, organizations chase new technology simply because it is available or gaining attention, not because it is tied to a specific business need. However, technologies like AI only deliver value when applied to well-defined business challenges.

Tying initiatives to measurable outcomes helps secure leadership alignment and supports change management. Clarity creates focus and helps teams understand why transformation matters. At its foundation, successful transformation rests on three pillars: people, process, and technology, all powered by high-quality data.

AI is only as smart as the network behind it

As supply chains become more complex, multi-tier visibility has moved from a nice-to-have to a requirement. Many of the biggest risks today, including regulatory exposure, disruptions, and cost volatility, originate deep in the supply chain, often beyond direct supplier relationships.

AI has emerged as a powerful enabler, but only when supported by trusted, shared data. More than half of the data needed to drive intelligent supply chains sits outside an organization鈥檚 four walls. Without visibility across trading partners, AI鈥檚 impact is limited.

Standardization also surfaced as a recurring theme during our roundtable conversation. While one-size-fits-all approaches rarely work, excessive customization slows progress and undermines scale. Leading organizations are finding a balance by standardizing where it drives speed and consistency, while allowing flexibility where it creates meaningful value.

Transformation doesn鈥檛 fail on technology, it fails on trust

Technology may enable transformation, but people determine whether it succeeds. Change management remains a critical factor, and even well-designed initiatives can stall if employees do not understand the purpose or feel threatened by the change.

Clear communication, local champions, and ongoing engagement help build trust and momentum. Leaders emphasized the importance of reinforcing that technology is designed to elevate roles by removing manual work and enabling employees to focus on higher-value activities, instead of replacing them. Being honest about what is working, what isn鈥檛, and when to pivot builds credibility and keeps teams engaged over the long term.

Customer-centric supply chains don鈥檛 happen by accident

A significant shift underway is the move from inward-facing efficiency to explicit customer-centricity. Many supply chain organizations historically assumed their work benefited customers without clearly articulating how.

Today, customer impact is a unifying principle. Whether serving consumers, passengers, farmers, or B2B customers, supply chains are increasingly recognized as drivers of experience, reliability, and brand trust.

Customer collaboration is also playing a larger role in transformation. Sharing data and aligning processes across networks creates shared value and unlocks differentiated services. Progress must be communicated in terms customers care about鈥攏ot internal metrics, but outcomes that improve service, speed, and transparency.

What the best transformation leaders do differently

Coming out of our conversation, the strongest transformation leaders shared a few defining traits:

• They pivot quickly when something isn鈥檛 working. Rather than protecting sunk costs or rigid plans, they recognize when assumptions change and adjust course. Speed and adaptability often matter more than perfection.
• They invest in people as intentionally as they invest in platforms. Adoption requires time, training, and leadership attention. Workforce readiness is treated as a core deliverable, not a side effort.
• They celebrate progress. Visible milestones help sustain momentum and reinforce positive behavior throughout a long transformation journey.
• They hold themselves accountable for real value creation. Success metrics are defined early and tracked consistently, whether financial, operational, or customer driven.

Turning ambition into measurable impact

What stood out most from my conversation at NASCES25 was the shared recognition that transformation is no longer optional. Supply chain leaders are embracing bold ambitions, people-centered change, and customer-focused innovation to turn intent into measurable impact.

plays a critical role in this journey by helping organizations connect processes, partners, and data across the value chain to improve visibility, resilience, and decision-making at scale. And beyond the network, helps orchestrate people, processes, and technology end-to-end鈥攅nabling leaders to move from intent to impact with integrated planning, execution, and insights that can drive real operational transformation.

To hear more directly from the leaders shaping this future, I encourage you to watch the and continue the conversation on how supply chains can lead meaningful transformation.

Keith Baranowski is global head of Sales for 麻豆原创 Business Network.

Building resilience and control across every category of spend

Organizations are under increasing pressure to manage costs, improve agility, and drive measurable outcomes. 麻豆原创鈥檚 connected and intelligence-driven source-to-pay suite is designed to help customers meet these challenges head on.

麻豆原创 Ariba solutions can deliver broad and deep functionality across the full source-to-pay lifecycle, spanning sourcing, contracting, procurement, invoicing, and supplier management. With the industry鈥檚 largest supplier network, 麻豆原创 enables buyers and suppliers to collaborate with confidence, consistency, and scale.

麻豆原创鈥檚 investment priorities: platform modernization and agentic AI innovation

Rather than reflecting external judgments, 麻豆原创鈥檚 strategic focus is centered on advancing its platform foundation, AI capabilities, and user experience to help customers operate with greater intelligence and agility. Our long鈥憈erm investments concentrate on three core areas:

Modernizing the platform for the future

A platform update arriving in 2026 will complete the modernization of 麻豆原创鈥檚 technical architecture. This modernized foundation can deliver greater extensibility, improved performance, and faster delivery of innovation, particularly in agentic and generative AI.

Built as an AI-native architecture, the next-generation platform can embed intelligence directly into workflows to help anticipate needs, guide decision-making, and automate actions across the entire source-to-pay process. This positions 麻豆原创 to deliver the first truly AI-native source-to-pay suite built for the future of procurement.

Expanding intelligence with Joule

plays a central role in bringing intelligence and insight to every stage of the source-to-pay process. Joule鈥檚 advanced AI agents can help automate tasks, support decision-making, enhance compliance, and unlock new productivity across sourcing, procurement, and supplier collaboration.

Reimagining the user experience

麻豆原创 is delivering an updated, consistent UI/UX across 麻豆原创 applications. For procurement teams, this means smoother navigation, modernized interfaces, and enriched contextual intelligence, including enhanced supplier 360 profiles and strengthened collaboration capabilities.

Strengthening global scale and operational flexibility

麻豆原创 continues to demonstrate industry-leading global scale, supporting high-volume transactions and diverse compliance requirements across regions and industries. With multiple cloud deployment options across major hyperscalers and a robust portfolio of security and regulatory certifications, including FedRAMP, customers can operate confidently wherever they do business.

Connected solutions across 麻豆原创 Business Network and the intelligent suite

麻豆原创 Business Network remains the largest supplier network in the source-to-pay market, spanning more than 190 countries. 麻豆原创鈥檚 broader spend ecosystem鈥攊ncluding innovations such as , , and 鈥攅nables organizations to unify data, intelligence, and processes across sourcing, procurement, invoicing, and spend management.

Importantly, 麻豆原创鈥檚 capabilities extend well beyond traditional source-to-pay. Through connected solutions covering travel and expense, contingent workforce management, external labor, and additional spend categories, 麻豆原创 provides a truly comprehensive spend management platform that can deliver visibility and control across the full spectrum of enterprise spend.

As organizations increasingly operate in heterogeneous application landscapes, 麻豆原创 helps deliver openness, security, and extensibility so customers can maintain cohesive and connected processes throughout 麻豆原创 and non-麻豆原创 environments.

Customer impact: outcomes that scale

Customers across industries and regions continue to demonstrate what鈥檚 possible with 麻豆原创鈥檚 source-to-pay solutions. Organizations report meaningful improvements in areas such as compliance, cost optimization, supplier collaboration, operational efficiency, and workforce productivity鈥攆rom managing millions of invoices to running global sourcing initiatives to scaling AI-powered automation across distributed operations.

麻豆原创 remains deeply committed to helping procurement and finance organizations navigate complexity with confidence. Our investments in platform modernization, agentic AI, user experience, and cross-suite integration are all grounded in a single mission: to help customers achieve sustainable, long-lasting impact.

We’re grateful for this recognition and energized by the opportunity to deliver even greater value in the years ahead.

. Read the full Gartner Magic Quadrant for Source-to-Pay Suites report .

Fang Chang is EVP and chief product officer for 麻豆原创 Procurement and External Workforce Solutions.
Baber Farooq is senior vice president and head of Market Strategy for 麻豆原创 Procurement and External Workforce solutions.

*Gartner Magic Quadrant for Source-to-Pay Suites, January 21, 2026 – ID G00833291, by Micky Keck, Kaitlynn Sommers, Lynne Phelan, Magnus Bergfors, Alex Brady

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That鈥檚 why I鈥檓 super proud to share that 麻豆原创 has been named a Leader in .* This marks the second time 麻豆原创 has received this recognition, following our position as a Leader in the 2023 IDC MarketScape.**

We believe this distinction reflects the strength of 鈥攐ur entry in the MESCCN space鈥攁nd the trust placed in the solution by companies around the world. It鈥檚 a milestone that underscores our commitment to helping businesses navigate complexity and build more connected, intelligent supply chains.

A legacy of collaboration

麻豆原创 Business Network is the world鈥檚 largest B2B trading partner platform, supporting more than US$6.5 trillion in annual transactions. It can modernize how procurement and supply chain processes connect across companies, helping build stronger, more resilient supply chains and deliver on the customer promise.

The network traces its roots back to the Ariba Supplier Network, founded in 1996. Over the years, it has evolved to support a broad range of supply chain processes. In 2021, we unified our capabilities under the 麻豆原创 Business Network brand, bringing together logistics, asset management, finance, sustainability, and talent-based networks into a single, comprehensive platform.

Today, millions of companies across 190 countries rely on 麻豆原创 Business Network to digitalize transactions, share information, and discover trading partners. By leveraging AI and configurable business rules, the network helps close break points between buyers and suppliers鈥攅nabling greater visibility, operational efficiency, and compliance across the supply chain.

What the IDC MarketScape recognized

According to the IDC MarketScape, 麻豆原创 Business Network鈥檚 positioning as a Leader is supported by several competitive strengths:

• Comprehensive product features and road map: 麻豆原创 Business Network offers an extensive range of features and functionality, covering all major B2B collaboration categories, including indirect and direct materials, MRO, logistics, finance, services, and sustainability. The network’s robust future road map enables continuous innovation, empowering businesses to stay ahead in a dynamic landscape.
• Seamless integration and extensibility: The network demonstrates capabilities in integration, connecting 麻豆原创 ERP, procurement, and supply chain modules while extending to other ERPs, customer applications, and cutting-edge technologies such as machine learning, AI, and blockchain.
• Global reach and real-time collaboration: 麻豆原创 Business Network enables trading partners to collaborate in real time across the globe across a wide breadth of business processes.
• Automation through configurable business rules: 麻豆原创 Business Network empowers businesses to automate essential processes by working to define and customize rules tailored to their specific needs. These configurable rules can streamline workflows, enforce compliance, and boost operational efficiency, reducing manual intervention.
• Robust foundation and ecosystem: 麻豆原创 Business Technology Platform (麻豆原创 BTP), combined with the broader 麻豆原创 ecosystem, can provide a scalable and extensible secure foundation for seamless integration across procurement, supply chain, and finance processes.

We believe these strengths, as recognized by the IDC MarketScape, reinforce the value 麻豆原创 delivers to organizations seeking to extend their business processes across the entire value chain.

Continuing to innovate on 麻豆原创 Business Network

We believe this recognition by the IDC MarketScape reflects not only the strength of 麻豆原创 today but also our commitment to ongoing innovation. We鈥檙e continuously enhancing the network to help companies collaborate more effectively, respond faster to change, and unlock new sources of value across their supply chains.

At 麻豆原创 Connect, we shared how 麻豆原创 Business Network is evolving to meet the demands of increasingly dynamic and interconnected business environments. Built on 麻豆原创 Business Technology Platform, the network now offers a scalable data foundation, seamless integration with 麻豆原创 Cloud ERP capabilities and third-party systems, and enhanced workflow customization through 麻豆原创 Build solutions. This has enabled many innovative initiatives to incorporate Joule across the network, reimagining analytics, automation, and approvals with intelligent capabilities that will be continuously released starting in 2026. 

We鈥檙e also further expanding integration with 麻豆原创 Cloud ERP, 麻豆原创 Ariba solutions, 麻豆原创 Fieldglass solutions, and 麻豆原创 Transportation Management to support end-to-end value streams. These enhancements can help streamline supplier onboarding, accelerate issue resolution, and improve sustainability tracking, empowering businesses to operate with greater agility and confidence.

Empowering businesses to realize the full value of collaboration

As multi-enterprise collaboration continues to evolve, we see tremendous opportunity to help organizations unlock new levels of agility, visibility, and efficiency. At 麻豆原创, we鈥檙e focused on making this journey as seamless and rewarding as possible.

Across industries, customers are already seeing the impact. , a leading aerospace manufacturer, is using 麻豆原创 Business Network Supply Chain Collaboration to improve visibility and responsiveness across its supplier ecosystem. Similarly, , one of the world鈥檚 largest aircraft manufacturers, is leveraging 麻豆原创 Business Network to streamline procurement and supply chain processes, enhancing operational agility and supplier engagement.

We鈥檙e investing in education, enablement, and intuitive user experiences to support companies as they expand their collaborative networks. Whether you鈥檙e a manufacturer, services provider, or supplier, our goal is to empower you to connect, collaborate, and grow with confidence鈥攍everaging the full potential of 麻豆原创 Business Network to help drive strategic outcomes across your value chain.

A strategic choice for the future

If you鈥檙e looking for a partner that offers both a robust multi-enterprise network and deep supply chain and procurement capabilities, 麻豆原创 is the clear choice. Our unmatched integration with core 麻豆原创 and non-麻豆原创 applications, combined with our strategic vision and global reach, makes us uniquely positioned to support your transformation.

As I shared in my recent article, we鈥檙e entering a new era of supply chain management鈥攐ne defined by connected ecosystems, intelligent automation, and sustainable growth. 麻豆原创 Business Network is at the heart of this transformation, helping businesses turn complexity into opportunity.

To our customers, partners, and the entire 麻豆原创 community, thank you for your trust and collaboration. We believe this recognition from the IDC MarketScape is a shared achievement, and we鈥檙e excited to continue building the future of supply chain commerce together.

To learn more, visit  and read the IDC MarketScape excerpt .

Dominik Metzger is president and chief product officer for 麻豆原创 Supply Chain Management.

*Source: , November 2025, IDC #US53010225.
**Source: IDC MarketScape: Worldwide Multi-Enterprise Supply Chain Commerce Network 2023 Vendor Assessment, December 2023, IDC #US49948423.

Visibility has always been essential for navigating uncertainty in business-to-business commerce. Yet it is also insufficient. After all, what good is merely seeing across the various tiers of the supply chain if a business lacks the ability to identify available alternatives, shift course immediately, and counter disruption before it impinges on the balance sheet?

At , our customers and partners had an extraordinary opportunity to explore our latest 麻豆原创 Business Network innovations鈥攁nd the generative and agentic AI solutions that are rapidly reshaping enterprises鈥� ability to extend N-tier visibility and take the decisive actions necessary to preserve the smooth flow of operations from the dual threats of volatility and risk.

To strengthen every link in the supply chain, businesses need to connect their mission-critical operational processes with those of their trading partners. Doing so enables them to achieve transparency, foster collaboration, drive efficiency, and maximize customer satisfaction. Through the vast troves of operational data that millions of trading partners accumulate in the routine course of day-to-day operations, 麻豆原创 Business Network鈥攖he world鈥檚 largest business-to-business platform鈥攊s uniquely positioned to help business leaders orchestrate their supply chains for success, no matter the circumstances.

Today, 麻豆原创 helps our customers to accomplish these objectives with a suite of AI-infused supply chain management applications鈥攁ll of them integrated with ERP and adjacent line-of-business applications to connect seamlessly with trading partners. By applying advanced analytics, operational insights, predictive signals, and recommended actions derived from both internal and external data sources, 麻豆原创 Business Network has set in motion an increasingly autonomous supply chain.

The innovations underlying it, meanwhile, are accelerating.

To further distinguish 麻豆原创 as the leader in enabling supply chain orchestration, I am extremely excited that in the first half of 2026 we will deliver a new product to help provide enterprises with capabilities for issue detection, insight, and action across their supply chains. Aptly called 麻豆原创 Supply Chain Orchestration, this new solution will help deliver N-tier insights and transform external and internal signals across supply chains into prioritized actions. These capabilities will rest on the 麻豆原创 Business Network foundation, drawing upon master data as well as native AI solutions to help orchestrate workflows and dramatically expand visibility across every tier of the supply chain.

麻豆原创 Supply Chain Orchestration can equip our customers with the tools and inference-driven insights they need to help mitigate multi-tier risk, enhance compliance, and bolster decision-support. The goal is to head off disruption before it arises鈥攁nd to offer our customers one of the most elusive yet priceless advantages that anybody can have in these turbulent times: peace of mind.

That鈥檚 why our customers entrust so many of their core operational processes to 麻豆原创 Business Network in the first place: for peace of mind, for resilience, for enduring value. Our strategy to deepen that value takes root in our ongoing transition to 麻豆原创 Business Technology Platform (麻豆原创 BTP), working to provide faster speeds, easier integration, faster collaboration, and continuous innovation on a grand scale, across industries. Our vision takes shape through intelligent applications, network convergence, and unmatched extensibility. Our priority to accelerate the value we make available to suppliers on the network finds example through our innovations that help simplify e-invoicing, expand automation, and facilitate discoverability by new potential trading partners. All these strategic elements take center stage in our product strategy, each of them strengthened by the unmatched generative and agentic AI capabilities that customers and partners have come to rely on from 麻豆原创 in our quest to make the world run better and improve people鈥檚 lives.

Couldn鈥檛 join us in Las Vegas? Check out the Supply Chain Connect at 麻豆原创 Connect Virtual keynote session, 鈥�,鈥� presented by Dominik Metzger, president and chief product officer, 麻豆原创 Supply Chain Management.

J枚rn Keller is executive vice president and chief product officer for 麻豆原创 Business Network.

The manufacturer was heavily reliant on manual documentation, which caused delays in accessing and updating critical data and documents, resulting in data quality and compliance issues.

To address these challenges and optimize asset management, LESER sought to establish seamless data integration through a unified single source of truth. After thorough research and careful comparison of options, the valve manufacturer successfully chose to implement digital twin technology with to help optimize collaboration with customers.

Error-free asset data and streamlined collaboration with smart asset management

Relying on a manual documentation process was not only time-consuming but also prone to errors and delays. This was causing significant challenges in accessing and updating critical data and documents, leading to poor data quality and inefficiencies across the ecosystem. Recognizing the need for a modern solution on the operator side, LESER identified the importance of supporting customers with a centralized asset management system. LESER decided to digitize its asset management system by implementing a centralized, cloud-based platform. This platform enables LESER to seamlessly share the digital twin with customers, enhancing transparency and data sharing while continuing to manage internal processes separately.

By implementing the technology integrated with , LESER created a one-to-one virtual replica of each piece of physical equipment and product, consolidating all relevant data and documentation into a single, accessible platform.

鈥淭he digital twin acts as a precise digital mirror of the physical safety valve, enabling our customers to receive complete, error-free, and up-to-date data about the safety valves,鈥� Pierre Draheim, manager of Product Data Management at LESER, explains.

LESER provides digital twins both for new () and existing () safety valves, centralizing all relevant data and documents. Each valve is labeled with the globally-standardized ID link, or QR code, IEC聽61406聽that allows LESER’s customers to directly access and sync product-specific information with their asset management systems, enabling seamless data transfer, documentation compliance, and cost reductions of up to 95% for initial recording.

鈥淏y embracing digital innovation, we have empowered our customers to boost their operational efficiency,” Draheim says. He emphasizes that this not only helps LESER achieve substantial time-savings but also enables the company to focus on core activities and drive greater business growth: “It’s a win-win. Not only us, but also our customers achieve significant improvements in overall productivity.”

Reduce operational costs with real-time digital twin integration

Automating valve data sharing within has made it much easier for LESER operators and service providers to coordinate maintenance, eliminating the need for manual data reconciliation. This automation cuts down on administrative work, helps avoid unnecessary downtime, and optimizes spare parts inventory, all of which contributes to a substantial decrease in operational costs.

By standardizing and digitizing data with a globally-standardized ID link, multiple service providers get instant access to accurate, up-to-date information.

鈥淲ith the introduction of the digital twin and 麻豆原创 Business Network Asset Collaboration, we can now automate valve management, making the entire process faster and more reliable,鈥� Draheim says.

Ensure safety and quality through global and regulatory compliance

Making sure safety valves meet international standards at every step requires a high level of automation in managing product data. This is especially important for LESER. 鈥淐ompliance is not just about meeting regulations, but about the ‘rules of the game’ in the industry, which enable an automated exchange of information across different IT systems and stakeholders,鈥� Draheim says.

With such a significant market presence, LESER holds its suppliers and materials to very high standards, ensuring every part complies not only with global regulations but also local rules. This level of care is particularly essential for operators working in industries with strict safety and regulatory conditions.

Beyond setting these standards, LESER keeps detailed records to maintain full transparency and traceability across the supply chain. This integrated approach helps the ambitious company reduce the need for additional level approvals and supports safe, reliable plant operations all over the world. In return, its customers experience improved reliability and confidence in the products and services they receive, creating a positive impact throughout the entire value chain.

Oyku Ilgar is part of 麻豆原创 Supply Chain Thought Leadership & Awareness.

Before diving into the heart of the keynote, Steinhaeuser invited 麻豆原创 solution area CMOs to deliver lightning-fast recaps of news from the various 麻豆原创 Connect event tracks. In just under two minutes each, they covered finance, procurement, supply chain, HR, and customer experience. From autonomous accounting and next-gen procurement to AI-driven talent acquisition and smarter customer loyalty, the message was clear: across every business function.

The real challenge: connecting priorities

As Steinhaeuser pointed out, 鈥淭he reality is each business area has its own unique priorities and, of course, all-important urgent matters.鈥� The real challenge is not just launching new features; it鈥檚 aligning processes, data, and teams to conquer uncertainty and achieve true customer focus. 鈥淪imply putting an [AI] agent on top of a broken process will solve nothing,鈥� he said.

The flywheel: AI, data, and apps in motion at 麻豆原创

So, how does it all work together? Enter the 鈥渇lywheel鈥� model: the dynamic cycle of AI, data, and applications that drives synergy across the enterprise. This is not just a theoretical approach. Steinhaeuser showed how 鈥溌槎乖� runs 麻豆原创鈥� using the flywheel model.

First, he said, 麻豆原创 uses 鈥渞ole-based AI assistants, powered by specialized agents, [to] support team members across all areas of 麻豆原创.鈥�

Next comes data. Earlier this year, 麻豆原创 became 鈥渃ustomer zero鈥� for (麻豆原创 BDC), connecting all enterprise data in a single layer to generate faster and better insights across financial, workforce, and sales planning. 鈥淲e’re excited to go live with the first set of intelligent apps, starting with People Intelligence,鈥� he added.

Finally, the app layer: 麻豆原创 has moved from 麻豆原创 ERP Central Component (麻豆原创 ECC) to and , through RISE with 麻豆原创. 鈥淭he 麻豆原创 Business Suite is where data is created and where AI delivers impact,鈥� Steinhaeuser said.

But processes continuously evolve with AI, he said, noting that business transformation management, powered by solutions like and , helps 麻豆原创 and its customers continually improve processes and architecture, with AI embedded everywhere. The company also uses to ensure employees stay informed and engaged at every step.

鈥淒riving 麻豆原创’s own transformation, I understand the challenges you face,鈥� Steinhaeuser said. 鈥淚 am convinced leveraging the flywheel of AI, data, and apps across the entire 麻豆原创 Business Suite is how we win together.鈥�

Embedded AI: tangible value, secure, and seamless

Brenda Bown, chief marketing officer of Business AI at 麻豆原创, took the stage to highlight how business AI is showing up in day-to-day work. 鈥淚’ve heard three consistent themes in conversations [with customers]: first, you want AI that can provide tangible value; second, that is secure and properly governed; and third, that works seamlessly across your teams and business. We’re here to deliver just that,鈥� she said.

Joule is now embedded in use cases in trusted 麻豆原创 applications and is making work faster and easier across the enterprise. 鈥淏y the end of this year, we will have more than 400 of these AI use cases,鈥� Bown said. Joule Agents automate tasks across departments, and the new agent builder in (generally available in December) helps customers extend, build, or customize their own agents. 麻豆原创 LeanIX AI Agent Hub and agent mining capabilities in 麻豆原创 Signavio provide governance and transparency for AI agents.

Bown noted that customers like Matur Fompack are using Joule in 麻豆原创 SuccessFactors to hire faster and improve career development. 鈥淭he results are phenomenal: a 48 percent reduction in HR process execution time and 40 percent faster employee development and career planning, and, most importantly, a better employee and candidate experience,鈥� she said.

For processes that require multi-step workflows and nuanced decisions, 麻豆原创 introduced a new generation of role-based AI assistants. 鈥淭hey know your role in the organization, because they are role and context aware,鈥� Bown said. These assistants tap into the right agents for the job, removing any guesswork and helping humans unlock new levels of insight and productivity.

She also showcased how agents collaborate across departments, automate workflows, and even extend 麻豆原创鈥檚 business logic to autonomous devices like robots. Early pilots with partners like NEURA Robotics are already showing Joule Agents planning and executing real work in the real world.

Data and intelligent applications: unified and actionable

Data is only valuable when it is actionable. Irfan Khan, president and chief product officer for 麻豆原创 Data and Analytics, highlighted 麻豆原创 BDC, which unifies enterprise data and powers intelligent applications. 鈥溌槎乖� BDC offers the most powerful foundation for connecting your existing data, building next-generation applications, and the ability to foster and deploy reliable AI,鈥� he said. And the new 麻豆原创 Business Data Cloud Connect solution enables secure, bi-directional data sharing with partners like Databricks and Google Cloud.

Intelligent applications bridge the gap between people and AI. They support smarter decisions and collaboration. 鈥淭hese applications learn from your data and include business simulations to support every business leader with smarter decisions,鈥� Khan explained. 鈥淚f we don’t have a reliable data foundation built around trust, having reliable and resilient data, it becomes very debatable whether or not AI will succeed.鈥�

From insight to action: transformation in practice

How do organizations turn strategy into action? Michael Ameling, president of 麻豆原创 Business Technology Platform (麻豆原创 BTP), demonstrated how 麻豆原创 Business Suite helps drive innovation by uniting core applications, data, and AI, all powered by 麻豆原创 BTP and Business Transformation Management solutions. 鈥淟et’s say you want to understand and improve a business process,鈥� he said. 鈥溌槎乖� Signavio lets you dive deep and understand every detail, and can suggest concrete actions. Then, use those insights to improve the process in 麻豆原创 Build by automating processes and building your own agents.鈥�

He demonstrated how 麻豆原创 BTP and the Business Transformation Management portfolio can help organizations connect systems, gain visibility, and automate processes. Tools including 麻豆原创 Signavio, 麻豆原创 Build, and 麻豆原创 Integration Suite are helping customers like Blue Diamond Growers streamline operations and accelerate transformation.

Services and support: accelerating innovation and realizing value

麻豆原创鈥檚 Anja Schneider, SVP and global head of Premium Engagement and Advisory, wrapped up this segment of the keynote by focusing on how the company鈥檚 services and support teams help customers realize the full value of their 麻豆原创 investments.

鈥淲e鈥檙e with you every step, like a personal trainer,鈥� she said, highlighting how 麻豆原创鈥檚 suite methodology, integrated tools like WalkMe and 麻豆原创 Cloud ALM, and expert guidance help customers realize the full value of their 麻豆原创 investments. She pointed to IBM鈥檚 transformation project as proof: working with 麻豆原创 MaxAttention teams and a clean core approach, upgrades went smoothly with low incidents for more than 150,000 users across 175 geographies.

Customer perspective: Southern California Edison鈥檚 journey

Real-world impact matters. Southern California Edison (SCE) SVP and CIO Todd Inlander shared how the utility company鈥檚 transformation journey with 麻豆原创 is helping modernize its foundational systems and optimize back-office processes. Facing unprecedented demand and environmental challenges, the company is leveraging 麻豆原创 solutions, including 麻豆原创 Business AI capabilities, to transform its operations.

鈥淲e need to adhere to our mission: to deploy safe, reliable, affordable power,鈥� he said. 鈥淲e can’t do that by doing things the way we’ve always done. We have to incorporate 麻豆原创. We’re using it to transform the way we work in our environment. We need to leverage AI because we don’t have enough humans to do all the work. We have to scale.鈥�

As SCE deploys 麻豆原创 Business Suite over the next year, it鈥檚 focusing on keeping a clean core and reducing customizations. 鈥淲hen we implemented ECC 15 years ago, about 66 percent of our enhancements were never used. We’re learning from that experience,鈥� Inlander said. He went on to note that SCE will use the 麻豆原创 deployment time to continue to transform its back-office operations. 鈥淲e’ll be integrating Joule and other AI solutions because doing things the way we’ve always done them and expecting a different outcome is the definition of insanity.鈥�

Steinhaeuser closed the keynote with a look to the future: 鈥淲e鈥檝e made great progress across all lines of business to deliver a unique experience for you鈥攚ith AI becoming your personal assistant, powered by data that defies boundaries and applications that take insight to action. The cross-capabilities you just saw now make the flywheel spin.鈥�

The future is here, and is powered by the synergy of AI, data, and applications. Every business can turn innovation into impact.

Against the backdrop of the event theme鈥�”Connect Everything, Achieve Anything: Agents, Data, and the Business Suite鈥濃�攖hey set out 麻豆原创鈥檚 vision for how 麻豆原创 Business Suite, which combines AI, data, and applications, can transform enterprises and deliver unprecedented business value to customers despite global macroeconomic uncertainties. 

Unique times

鈥淲e are living in very unique times,鈥� Alam said at the start of the keynote. 鈥淯nique in terms of the unpredictability we face from a geopolitical and macroeconomic perspective,鈥痑nd also unique in terms of the advancement in AI and the potential that carries for all of us.鈥�  

He added, 鈥淓ven the most significant challenges can be responded to, navigated, and鈥攚hen approached the right way鈥攖urned into opportunities. And that鈥檚 exactly where 麻豆原创 comes in. Because the best way to face uncertainty is with confidence that you can see what鈥檚 happening across your business and your network.鈥� 

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The CFO perspective 

His comments were echoed by CFO and Executive Board Member Dominik Asam in an onstage discussion with economist and Berkeley professor Ulrike Malmendier, during which they likened the role of the CFO in navigating today鈥檚 business uncertainties to that of co-piloting a modern jet. 

鈥淎I is the next supercycle and has what it takes to create an effective cockpit for the CFO, including recommendations about real actionable options all the way to autopilot for less critical tasks,鈥� Asam said. He also warned that standing on the sidelines of technological progress is 鈥渁 sure recipe for falling behind in competition.鈥�  

鈥淎s in prior tech supercycles, the entire competitive playing field is being completely reshuffled,鈥� he said.

New products

Building on this theme, Alam noted that while uncertainty is real and isn鈥檛 going away, it can be successfully navigated and turned into opportunities. To help customers achieve this, he announced several new and enhanced 麻豆原创 products. 

Among them, 麻豆原创 Supply Chain Orchestration is an AI-native application that uses a network knowledge graph to analyze real-time signals across a company鈥檚 multi-tier supply chain to detect risks and issues, such as extreme weather or tariffs. It then helps customers minimize disruptions by assessing the impact of these risks and suggesting alternatives to help minimize disruptions.   鈥淭hink of it like a GPS in your car which selects an alternative route to avoid traffic or tolls,鈥� Alam explained. In addition, he announced a major update to the 麻豆原创 Ariba solutions for source-to-pay suite, positioning 麻豆原创 Ariba as the most modern platform in the industry and the only truly AI-native source-to-pay solution鈥攁ll built on 麻豆原创 Business Technology Platform.

The human-AI partnership opportunity 

Turning to uncertainties over the future of work itself, 麻豆原创 Chief People Officer and Executive Board Member Gina Vargiu-Breuer, who is leading 麻豆原创鈥檚 own workforce transformation, was joined on stage by Ian Beacraft, founder and chief futurist of Signal and Cipher. 

鈥淎t 麻豆原创, we know firsthand that AI is everywhere, shattering norms and transforming the workforce,鈥� Vargiu-Breuer said. 鈥淎nd we as 麻豆原创 are boldly steering this shift, as requirements for our workforce are simply changing really fast.鈥�  

Vargiu-Breuer emphasized that a successful business AI strategy also depends on leveraging AI alongside human expertise and fostering what she described as 鈥渁 collaborative human + AI approach, rather than just automation.鈥�  鈥淏y integrating AI’s capabilities with human creativity, empathy, and judgment, we move beyond simple automation into real human-AI power couples,鈥� she said. 鈥淯ltimately, the future will favor those who embrace orchestration, delegation, and creative problem-solving.鈥�

Role-based AI assistants

Echoing this human-centric approach, Alam noted, 鈥淓veryone is talking about agents鈥攂illions of agents鈥攁nd agents taking over everything. We want to talk about people, the roles they play, and the tried-and-tested organizational constructs in place today that are running complex businesses across industries.鈥� 

Reflecting this, he said 麻豆原创 is making Joule deeply aware of the workstyle of the person it partners with, their role, and the business process context in which they operate. 鈥淭oday, we are introducing AI assistants, including a receivables assistant for your accounts receivable colleagues, a controlling assistant for your controlling colleagues, a demand Planning assistant for your demand planning colleagues, and an AI assistant for every role.鈥�   Each assistant has agents and AI tools at their disposal to help make the person it partners with smarter and more efficient, Alam explained.

Taking the receivables assistant as an example, he said it can handle collections and dispute resolution today and will soon also be able to help with fraud detection, invoice processing, and payment scheduling. 鈥淥ver time, we will continue to make this assistant even smarter by adding more agents and capabilities鈥攁ll designed to make the person in this role more effective.鈥�

Deep research and new intelligent applications

鈥淲hile efficiency and automation carry potential for great value for the organization, AI鈥檚 greatest strength is in unlocking insights and recommendations based on its ability to do deep research across vast amounts of internal and external data, which is hard for people to do,鈥� said Alam. To address this challenge, 麻豆原创 is introducing deep research in Joule, a capability that can research and analyze complex problems and deliver findings quickly and efficiently. 

Following additional announcements, including an expanded set of 麻豆原创 Business Data Cloud Intelligent Applications and an enterprise wide, multi-stakeholder engagement orchestration solution in 麻豆原创 Engagement Cloud, Alam closed out the keynote by reminding his audience: 鈥淭o create exponential value and to reach the global maxima for your enterprise, the whole matters.  And that鈥檚 what we are focused on: providing you with best-in-class applications, seamlessly and natively integrated across the breadth of finance, spend, supply chain, HCM, and customer experience.鈥� 

麻豆原创 Business Suite delivers unprecedented value

The unmatched value of 麻豆原创 Business Suite is that it brings together the power of best-in-class applications with a semantically rich harmonized data layer to power high-value AI in a singular seamless experience. It helps you manage uncertainty, evolve your workforce, and break down silos to create amazing customer value.

New intelligent applications and open ecosystem
partnerships turn insights into action across the enterprise

As enterprises move toward an AI-driven future, the role of data has never been more critical. Yet much of that data remains locked in silos 鈥� spread across teams, clouds, and legacy systems.

This fragmentation creates a 鈥渃ontext gap,鈥� where information is technically available but disconnected from the business meaning that makes it actionable. For example, sales and marketing teams may share a common view of pipeline, but without linking it to product feedback or process bottlenecks, AI models trained on that data miss the full business context. The result is inconsistent insights, slower decision-making, and a stalled cycle of AI, data, and applications. 

closes this gap. By harmonizing enterprise data wherever it resides and preserving its business context, it provides the foundation for intelligent applications and reliable AI.

At 麻豆原创 Connect, 麻豆原创 is bringing this vision to life with the next wave of innovations: 麻豆原创 Business Data Cloud Intelligent Applications 

Four new intelligent applications in preview

Building on the momentum for intelligent applications established at 麻豆原创 Sapphire, 麻豆原创 is now opening a restricted public preview of four intelligent applications designed to transform decision-making across finance, procurement, supply chain, and revenue operations.

Finance Intelligence gives CFOs and finance teams real-time AI-powered analysis of liquidity by harmonizing 麻豆原创 and third-party data and suggesting key actions to implement. Leaders can forecast cash flow instantly as well as detect liquidity risks using AI trained on live receivables and payables with external credit data such as Moody鈥檚 for richer customer risk assessment. With Joule and generative AI agents automating routine finance tasks, finance teams can shift their focus from reporting on the past to actively steering the future. 

Spend Intelligence provides organizations with a single, comprehensive view of enriched and classified spend data. Built-in AI and advanced analytics uncover patterns, anomalies, and opportunities for cost savings, while collaborative features connect finance, procurement, HR, and supply chain teams for better alignment. Through native integration with 麻豆原创 source-to-pay solutions, spend data continuously informs operational workflows, improving decision-making, enhancing control, and strengthening enterprise resilience. 

Supply Chain Intelligence equips operations leaders with the context to make faster, more impactful decisions. By combining 麻豆原创 data with external signals such as weather, regulatory updates, and market shifts 鈥� along with insights from millions of partners in 麻豆原创 Business Network 鈥� businesses can leverage the power of AI to understand and take action on key supply chain issues and drive optimization. This comprehensive intelligence helps anticipate disruptions, evaluate supplier risks, and orchestrate decisions seamlessly from prediction to execution, ensuring more resilient and agile operations. 

Revenue Intelligence transforms fragmented customer touchpoints into unified, actionable insights. By linking individual customer behaviors with enterprise-wide operations, it helps revenue leaders see which accounts to prioritize, when to intervene, and how to optimize customer investments. Unlike CRM-only tools, Revenue Intelligence connects front-office engagement to back-office execution, empowering organizations to maximize growth opportunities and strengthen customer relationships with a complete view of the business context.

麻豆原创 Business Data Cloud Connect

Beyond intelligent applications, 麻豆原创 is strengthening its open data ecosystem with 麻豆原创 Business Data Cloud Connect, giving customers unprecedented flexibility to work with trusted data wherever it resides. With secure, zero-copy sharing, customers can bring 麻豆原创 data products directly into their existing data platforms, eliminating duplication, reducing transformation efforts, and extending the reach of 麻豆原创鈥檚 business data fabric.

The first partners adopting this capability include Databricks (generally available) and Google (now in public preview), enabling real-time, bi-directional access to semantically rich 麻豆原创 data products in environments customers already use.

With 麻豆原创 Business Data Cloud Connect for Databricks now generally available, organizations can accelerate analytics and AI initiatives with greater speed, less friction, and full confidence in the integrity of their data.

麻豆原创 is committed to rapidly expanding this partner ecosystem so that, no matter where enterprise data resides, customers can connect it with trust, governance, and business context. 

Why it matters

Together, these announcements reflect 麻豆原创鈥檚 vision for the intelligent enterprise 鈥� where applications don鈥檛 just analyze, but act. By combining trusted data, open connectivity, and embedded AI, enterprises can shorten decision cycles, reduce integration complexity, and align intelligence directly with business outcomes.

For organizations operating across hybrid environments and complex data landscapes, these innovations make it easier than ever to turn insights into action and deliver measurable impact.

This week at , customers can experience this vision firsthand through live demos, real-world case studies, and discussions with 麻豆原创 leaders, partners, and peers. It鈥檚 an opportunity to see how 麻豆原创 Business Data Cloud is redefining decision-making today and shaping the future of the intelligent enterprise.

Irfan Khan is president and chief product officer for 麻豆原创 Data and Analytics.

At the same time, there is a huge opportunity to entirely re-think supply chains with AI and agentic workflows as the powerful transformation agents of the next decade. The lesson is clear: companies that invest in AI-driven applications and reliable data and re-think processes maintain continuity and customer trust, while others risk prolonged shocks, lower service levels, increased cost, and lost revenue.

Today at Supply Chain Connect at 麻豆原创 Connect, we are building on the phenomenal momentum of AI-driven supply chain transformations with innovations designed to help supply chain leaders not just endure disruption, but transform it into an opportunity for resilience and growth.

Introducing 麻豆原创 Supply Chain Orchestration

In today鈥檚 dynamic market, foresight and a reduced time-to-recover are everything. Business leaders must know where their products are, which suppliers or sub-suppliers are at risk, and how to respond with confidence. Yet, visibility gaps often leave organizations blindsided.

is a new AI-centric solution built to detect potential disruptions early, contextualize risk to a company鈥檚 unique supply chain configuration, apply intelligent impact analysis, and trigger AI-driven actions across planning, logistics, procurement, and manufacturing. Soon, supply chain stakeholders will be supported by powerful Joule assistants that leverage AI agents to strengthen supplier compliance, increase customer service, and reduce revenue exposure.

What sets 麻豆原创 Supply Chain Orchestration apart is its foundation on . The solution integrates data from and , providing a comprehensive view across every tier of the supply chain. These multi-tier insights help turn external and internal risk signals into prioritized actions, boosting operational efficiency, compliance, and customer satisfaction.

Set to be available in the first half of 2026, 麻豆原创 Supply Chain Orchestration is the next step toward a future where businesses can anticipate global shifts before they escalate with a severe business impact.

Advanced AI capabilities and unified scenario simulations optimize supply chain planning

麻豆原创 is enabling its customers to reimagine supply chain planning to become faster, smarter, and more connected with . This evolution of the product combines intelligent automation, a harmonized data model, and AI-driven capabilities to enhance forecasting, streamline processes, and help planners focus on critical decision making.

A harmonized planning area now supports both time-series and order-based planning, allowing users to move seamlessly among strategic, tactical, and operational levels, which ultimately enables seamless telescopic planning. New harmonized scenario simulations reveal the impact of alerts and risks to orders across all planning horizons. Embedded AI strengthens forecasting and inventory management, while characteristic-based planning adds right-fidelity supply planning to optimize stock and capacity matching for critical industries such as fashion retail, high-tech, life sciences, or consumer products.

The new Configurable Planner Workspace provides a unified interface where planners can monitor performance, simulate scenarios, and act immediately 鈥� guided by , 麻豆原创鈥檚 copilot, which delivers contextual assistance and actionable insights from forecasts, supply plans, and multi-echelon inventory.

AI capabilities are currently in beta mode and planned for general availability in Q2 2026, while all other enhancements are now generally available.

New Joule Agents accelerate decisions and automation across the supply chain

麻豆原创 introduces three new聽聽for supply chain management, designed to automate critical, time-consuming tasks and empower teams to focus on strategic decision-making. These agents embed AI-native automation directly into 麻豆原创 Cloud ERP, 麻豆原创 Cloud ERP Private, and 麻豆原创 Business Network workflows, reducing manual effort and minimizing errors.

• Production Planning and Operations Agent: Automates prerequisite checks for releasing production orders, validates material, capacity, and scheduling, and can recommend workarounds or release orders instantly 鈥� shortening order-to-delivery cycles and reducing costs. General availability is planned for Q1 2026.
• Change Record Management Agent: Supports product managers and engineers by reasoning over problem reports and change requests, recommending next steps, and initiating changes, which improves governance, traceability, and decision speed. General availability is planned for Q2 2026.
• Supplier Onboarding Agent: Streamlines onboarding in 麻豆原创 Business Network by reasoning over supplier details, orchestrating invitations, validating data, and handling escalations, which enables procurement teams to scale faster while focusing on strategic supplier development.

With these agents, 麻豆原创 is embedding intelligence deeper into day-to-day supply chain workflows, accelerating decisions where they matter most.

Upgrading 麻豆原创 Business Network to meet customer needs

Global commerce is more interconnected than ever, but too many organizations still operate with fragmented procurement and logistics processes. 麻豆原创 is introducing upgrades to 麻豆原创 Business Network, the world鈥檚 largest B2B platform, facilitating over US$6.3 trillion in annual commerce across 190 countries.

• Availability on 麻豆原创 BTP: 麻豆原创 Business Network now runs on 麻豆原创 BTP, providing a modern data foundation and enabling organizations to coordinate deals at scale. It connects easily across 麻豆原创 and third-party systems, introduces a unified global directory with guided onboarding, and offers workflow customization through 麻豆原创 Build. Joule integration will be available in January 2026, bringing embedded AI to analytics, automation, and approvals across the network.
• Network-centric integration across the business suite: Rolling out later this year, 麻豆原创 Business Network will support end-to-end value streams with 麻豆原创 Cloud ERP, 麻豆原创 Ariba, 麻豆原创 Fieldglass, and 麻豆原创 Transportation Management. This will accelerate dispute resolution, improve emissions tracking, and enable AI-assisted navigation.
• Simplified supplier data access: By Q4 2025, users will be able to search for suppliers directly from their ERP interface, eliminating manual onboarding. Buyers will gain faster access to new vendors, reducing activation costs and expanding visibility.

Together, these innovations enhance 麻豆原创 Business Network with intelligence, reach, and usability 鈥� delivering embedded AI, seamless business suite integration, and ERP-native supplier discovery.

麻豆原创 launches new logistics management solution

麻豆原创 is announcing , a new cloud-native solution designed to complement operations of large distribution centers with capabilities to support smaller, local, and regional warehouses. This will help establish multi-tier distribution networks that strengthen resilience and increase delivery speed.

Fully connected to 麻豆原创 Cloud ERP Private and 麻豆原创 Business Network for Logistics, the solution centralizes inventory, shipments, and partner coordination. Unlike standalone tools, it extends ERP capabilities directly to satellite warehouses, drastically reducing manual tasks and ensuring consistency across networks.

Built-in AI capabilities guide operational decisions, eliminating silos and strengthening collaboration across logistics ecosystems. 麻豆原创 Logistics Management will be available in Q1 2026.

Doehler, a global producer of technology-driven natural ingredients for the food, beverage, and nutrition industry, will leverage the solution in its warehouses to manage its production sites, samples and spare parts.

鈥溌槎乖� Logistics Management is set to deliver lean process automation and accelerated transformation for most of our more than 50 production sites, sampling operations and technical warehouses,鈥� said Dr. Michael Merget, Chief Operating Officer of Doehler Group. 鈥淲e see its powerful, integrated AI capabilities not as an add-on, but as the core intelligence that will define the future of our logistics.鈥�

Looking ahead

Resilient, intelligent, and collaborative supply chains are no longer aspirations 鈥� they are necessities. Together, these innovations reflect 麻豆原创鈥檚 vision for a fully orchestrated supply chain. The next generation of supply chain technology will empower businesses to detect disruptions early, harness data at scale, and consistently exceed customer expectations. By leading with intelligence and foresight, companies can transform crises into opportunities and position themselves to thrive in a world defined by uncertainty.

For more details on all announcements made this week, please refer to the .

Dominik Metzger is president and chief product officer for 麻豆原创 Supply Chain Management.

麻豆原创 reimagines enterprise AI with role-based assistants in
Joule that coordinate agents across lines of business

LAS VEGAS 鈥� At its inaugural 麻豆原创 Connect event, (NYSE: 麻豆原创) showcases how the integration of AI, data and applications creates unparalleled business value.

These breakthroughs 鈥� including a new network of role-based assistants in Joule that partner with humans to elevate performance, an expanding data ecosystem that drives deeper insights and supply chain software that anticipates disruptions 鈥� once again revolutionize how business gets done.聽

“To thrive when volatility is the new normal, businesses need more than a patchwork of disparate best-of-breed applications,” said Muhammad Alam, member of the Executive Board of 麻豆原创 SE, 麻豆原创 Product & Engineering. “Our announcements today demonstrate the power of 麻豆原创 Business Suite, where AI, data and applications come together in an experience to propel smarter decisions, faster execution and scalable transformation.”

AI that Partners with People

麻豆原创 unveils Joule鈥檚 next stage as the AI force at the center of 麻豆原创 Business Suite鈥檚 value creation. Drawing on the applications and data from across 麻豆原创 Business Suite, 麻豆原创 is introducing a new generation of role-aware assistants in Joule. Each assistant is designed to partner with a human being in their specific business role. Assistants in Joule tap into the right agents for the job, configuring, orchestrating and managing them so humans can focus on unlocking new levels of insight and productivity.

Supporting the assistants in Joule is a , designed to help execute complex workflows within a specific function. For instance, a People Manager Assistant coordinates a team of specialized agents — including the new People Intelligence Agent, which helps spot and resolve issues like compensation anomalies — to support managers as they drive performance. A new Financial Planning Assistant will be aided by a group of expert agents — including the new Cash Management Agent, which optimizes cash flow and improves interest yields — to help finance professionals drive efficiencies. This new roster of role-aware AI assistants not only partner with people to elevate performance in their lines of business but also work together across business functions to solve complex enterprise-wide problems.

Data that Defies Boundaries

Data fuels AI鈥檚 transformative power but it鈥檚 often siloed in different systems. At 麻豆原创 Connect, we are removing those barriers with 麻豆原创 Business Data Cloud Connect. 麻豆原创 BDC Connect securely links 麻豆原创 BDC with partner platforms to enable a bidirectional flow of business-ready data products across organizational and technological boundaries.

With zero-copy sharing, data stays securely in 麻豆原创 systems yet remains instantly accessible in customers鈥� existing data platforms, preserving business context without costly copies. The result: fewer silos, simpler pipelines, no duplication — just trusted data products where and when they鈥檙e needed.

麻豆原创 also announced that Databricks and Google Cloud are the first partners enabled for 麻豆原创 BDC Connect, with more to follow. As announced in February 2025, 麻豆原创 Databricks remains a data service within 麻豆原创 Business Data Cloud, and 麻豆原创 BDC Connect extends its benefits across an open data ecosystem. These partnerships give customers faster access to data products for analytics and AI, helping teams move from raw data to real-time business outcomes with greater speed and simplicity.

Applications that Turn Data into Action

At the heart of 麻豆原创鈥檚 unique value proposition are enterprise applications where data is created and AI-driven insights are experienced. 麻豆原创 Supply Chain Orchestration is a new AI-native solution that combines the power of Joule with a live knowledge graph to detect real-time risks several suppliers deep and orchestrate a coordinated response, helping customers cut costs and keep supply chains moving. 麻豆原创 Engagement Cloud, a new customer experience solution, uses business-critical context to personalize interactions across customers, suppliers and other stakeholders. And our next-generation 麻豆原创 Ariba procurement suite stands out as an AI-native solution, bringing intelligence to every stage of spend management, from sourcing through supplier engagement.

Altogether, these 麻豆原创 Business Suite innovations mark the beginning of a new era powered by self-reinforcing AI, data and applications that drive intelligence, speed and resilience.

Visit the . Get 麻豆原创 news via  and .

About 麻豆原创

As a global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创) stands at the nexus of business and technology. For over 50 years, organizations have trusted 麻豆原创 to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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The 麻豆原创 Taulia portfolio offers solutions for working capital management and supply chain financing, as well as a network for buyers, suppliers, and financial institutions.

Mehlkopf is global chief revenue officer for Treasury and Working Capital Management at 麻豆原创, and is responsible for marketing and rolling out the solutions for these domains to customers.

Q: Three years ago, we announced that the Taulia products would be integrated into the 麻豆原创 portfolio. What鈥檚 the status?

A: After acquiring Taulia, we pushed ahead with three main priorities to align with 麻豆原创 Business Suite. The first was the integration of the portfolio into 麻豆原创 Business Network so that, where suppliers and buyers both run 麻豆原创 Taulia solutions, they can utilize the network to benefit from early payment options and supply chain finance.

We also worked on integrating the solutions into and released the 麻豆原创 Taulia solutions for receivables financing and payables financing on 麻豆原创 Cloud ERP in February 2025. These are particularly relevant for small and midsize enterprises that want to grow and that need quicker payments to do so. The current focus is on the U.S., Canada, UK, DACH, and Singapore markets, with the goal of making this functionality available in additional countries soon.

Our third priority was to embed 麻豆原创 Taulia Virtual Cards into 麻豆原创 Ariba solutions. The cards enable buyers to pay their suppliers sooner — even before they issue an invoice — using a 鈥減ay on purchase order鈥� transaction. This ensures that the supplier in question has sufficient cash flow to fulfill the order.

Back in 2022, Taulia was described as a growth opportunity for 麻豆原创 and for customers. Could you tell us how 麻豆原创 Taulia is performing?

麻豆原创 Taulia already has several customers that finance billions through the platform, thereby improving both their own liquidity and that of their suppliers. My team鈥檚 objective is to increase that number and to continue scaling up, and we鈥檙e making good progress. Over the last three years, the volume of transactions processed with 麻豆原创 Taulia has risen steadily from US$500 billion to US$800 billion.

Customers are benefiting from this progress: one large enterprise in the oil and gas industry saved almost 鈧�700,000 within a single month of going live. Extrapolated to a full year, that鈥檚 annual savings of almost 鈧�8 million. So, the business case for customers is definitely there.

You presented the first AI use case in 麻豆原创 Taulia at 麻豆原创 Sapphire in 2025. Can you tell us about its value for customers?

The AI use case relates to our 鈥渋nsight to action鈥� approach and helps companies plan and improve their cash flow. 麻豆原创 Taulia has already been using artificial intelligence for some time to forecast supplier behavior around early payments. By combining this insight with data from an app on 麻豆原创 Business Technology Platform that provides transparency on free cash flow, the AI use case will give customers tips on how to improve their liquidity. It also runs through various scenarios showing them ways to influence it. Information like this is especially important for CFOs — never more so than in times of uncertainty.

Are there any other recent announcements you would like to share?

Yes, another important update is that 麻豆原创 Taulia is now part of 麻豆原创鈥檚 cloud ERP packages for the public cloud, 麻豆原创 Finance Base and 麻豆原创 Finance Premium, as well as the private cloud, 麻豆原创 Cloud ERP Private. This means that we can quickly show customers the positive business case for their transformation of using 麻豆原创 Taulia to improve their cash flow and achieve savings.

In times of global crisis, trade tariffs, and supply chain disruption, why are the 麻豆原创 Taulia solutions so vital for cash flow?

Cash is still king, especially in a crisis. An article published recently in German business newspaper Handelsblatt reported that net debt among the 40 companies on Germany鈥檚 DAX stock market index has increased eight percent to 鈧�227 billion since the pandemic. Clearly, financing is a major issue, particularly given that interest rates have risen so sharply. Many companies borrowed when interest rates were low and are now having to refinance their loans at higher interest rates, which puts enormous pressure on their finance teams. 麻豆原创 Taulia solutions can help by providing the funding that businesses need.

Given the impact that trade tariffs have on the supply chain, it is vital that companies carry out liquidity planning and scenario analysis. They need to think about where they will manufacture their products in the future, what effect that choice will have on revenues, and how they can use 麻豆原创 Taulia to improve their cash flow.

Which reference customers are already benefiting from this?

麻豆原创 Taulia customers include Henkel, Airbus, Nissan, AstraZeneca, Kimberly-Clark, and Bridgestone.

One customer has enabled early payments to suppliers totaling over 鈧�5 billion since the start of the program, which has led to an improvement in cash flow of more than 鈧�1 billion during this period.

Your pledge is 鈥渢o create the future of finance together.鈥� What does that involve?

We want to team up with our partners and customers to influence the transformation of corporate finance. That includes working with banks and implementation partners and integrating 麻豆原创 Taulia into a swathe of 麻豆原创 solutions. Together, we offer customers a comprehensive portfolio of treasury and working capital solutions, ranging from payments and cash management to financial risk management.

One key aspect of our road map is our treasury and payment portfolio, which covers topics such as the future of payments. We are also working to integrate new technologies, including blockchain and digital currencies, so that we can offer our customers innovative payment and financing solutions.

The challenge is clear: without a plan to adapt and evolve, organizations expose themselves to rising logistics costs and limited scalability. To remain agile and deliver on rising customer expectations, companies must move along the logistics maturity curve鈥攖ransitioning from manual, fragmented practices to agile, automated operations.

With four key techniques outlined in our , organizations can accelerate their maturity journey and build supply chain logistics operations that are efficient, resilient, and orchestrated.

Driving efficiency: From manual tasks to intelligent automation

At the initial stages of maturity, logistics operations often rely on siloed and manual processes, such as contracting carriers via e-mail and managing data in spreadsheets. This fragmented approach creates inefficiencies, increases the risk of errors, and limits the scalability of operations.

Improving efficiency starts with the process of digitalization. By integrating enterprise resource planning (ERP) platforms with transportation and warehouse management systems, companies can streamline routine tasks like data entry, eliminate redundant communications, and better utilize resources. For example, intelligent operations can optimize transportation costs through load consolidation and mode shifting; enable better planning by reducing reliance on spot shipments; improve mileage and fuel consumption through route optimization; and prevent overpayments with invoice validation.

Automating these processes breaks down the first barrier to decision-making by handing valuable time back to logistics teams. And as organizations mature, these efficiencies become embedded into daily workflows that span the organizational gap across carriers and trading partners. Resource allocation becomes data-driven and adaptive, setting the stage for more advanced capabilities and collaboration.

Enhancing visibility to turn data into actionable insights

Limited visibility is a common pain point for lower-maturity organizations, where shipment status is either unknown until final delivery or only accessible by leaving the core fulfillment process. Without timely and integrated insights, it’s difficult to adjust to disruptions or meet rising customer expectations.

To move forward, businesses must turn insight into action, eliminating data silos to integrate real-time visibility into core order fulfillment processes. This technology enables proactive decision-making, powered by predictive analytics and automation.

Companies can further enhance agility and visibility by optimizing executable transportation plans that align with fulfillment needs. With these capabilities, customer service teams can forecast potential delays or disruptions and create automated customer notifications for exceptions or changes. Improved visibility ultimately leads to insights that can help companies commit to and then deliver on customer promises.

For businesses that need help turning data into action, can unify information from multiple sources to help align transportation management with broader supply chain operations.

Building resilience for the unexpected

In today鈥檚 volatile landscape, resilience puts leaders ahead of the pack. It鈥檚 a prerequisite for success. Mature organizations are built to absorb shocks and continue delivering, while less mature systems are often left scrambling to respond with costly, reactive measures.

Resilient logistics operations are flexible, sustainable, and data-driven. They make quick but methodical decisions when disruptions arise based on embedded analytics and intelligent optimization.

In the face of disruption, mature organizations look for ways to make marginal gains throughout planning, contracting, and execution. They understand that constant incremental improvement creates broader success. This can take the form of optimizing routes to minimize miles or shifting to lower-emission modes or equipment to reduce carbon footprints. These organizations may also examine their load configurations to fit more cases or pallets into a trailer or container, stacking efficiencies across their operation.

With the right tools and processes in place, businesses can transform potential disruptions into opportunities for competitive advantage.

Enabling orchestration by coordinating people, processes, and partners

Automated orchestration is the final step of the supply chain maturity model. Seamless, harmonized coordination of systems, people, and partners is the apex of supply chain logistics maturity. Here, every component of the logistics ecosystem operates in sync, guided by autonomous, AI-based technologies across a unified strategy. Such a high level of ecosystem integration allows organizations to anticipate risk, respond dynamically, and collaborate across their ecosystem.

Achieving orchestration demands connected systems across a unifying platform, real-time collaboration, and adaptive execution across the supply chain. Key elements to enable orchestration include access to predictive, real-time data on shipments, demand, capacity, weather, traffic, and port congestion that enable synchronized optimization, spanning a unified platform for digital transactions extended to a multi-modal carrier network.

In an era defined by an abundance of data yet a perpetual risk of disruption, standing still is not an option. Connecting the dots between people, processes, and partners will help companies stay ahead of potential disruptions and build the foundation for a collaborative, data-driven, and optimized supply chain.

Advancing with the right capabilities

No matter where an organization stands on the logistics maturity curve, the techniques outlined above can drive tangible progress鈥攑rovided the right plan is in place.

can empower organizations to optimize and automate execution and achieve real-time visibility to respond effectively to changing market conditions. Solutions like can further enhance collaboration between shippers and carriers, helping to reduce cost, improve on-time delivery rates, and eliminate friction across logistics processes.

To remain competitive, businesses must chart a clear path toward orchestrated logistics operations or risk being left behind by those that do.

Doug DeLuca is an 麻豆原创 Business Network product marketing manager.

In a previous article, I explored how 麻豆原创 Business Network can deliver measurable value for buyer organizations by accelerating order cycles, improving efficiency, and generating significant ROI. Now, I’m turning my attention to the other side of the equation: the suppliers.

A recent IDC white paper sponsored by 麻豆原创, , sheds light on how business networks can help organizations meet key goals by improving efficiency, reducing costs, and driving innovation. Let鈥檚 delve into the findings and explore how 麻豆原创 Business Network can transform the supplier experience.

Cutting costs through visibility and information sharing

Technology plays a critical role in the buyer-supplier relationship. Traditional collaboration tools, designed to bring buyers and sellers together, are increasingly limited in today鈥檚 rapidly evolving technological landscape. To meet new demands, organizations are turning to modern business networks that enable more efficient ways to collaborate with partners.

These networks offer greater convenience, speed, and a broad selection of products and services, transforming how businesses sell products and manage their end-to-end supply chain. To succeed, teams need meaningful visibility into supply chain activity. Discovering opportunities to improve operational efficiencies and deliver business value requires access to real insights across key metrics. Business networks make this possible by enabling end-to-end tracking of orders, shipments, and inventory. This transparency also contributes to stronger collaboration with customers, allowing teams to respond quickly to changes in demand, optimize inventory levels, and maintain more reliable and accurate forecasts.

These benefits can be realized through automation capabilities contained within the platform, bringing further cost savings. For one customer using 麻豆原创 Business Network, automated order processing eliminated manual checks and data entry, significantly reducing costs. While manually processed orders cost around $30 each, automated orders cost them less than a dollar.

Beyond order processing, automation and data visibility also improved demand forecasting. Users reported a 19% increase in forecast accuracy, which helped reduce stockouts, overproduction, and production waste. These improvements not only delivered operational efficiencies but also contributed to higher renewal rates and new business opportunities.

Driving value while staying efficient

Automation through 麻豆原创 Business Network helps companies reduce manual tasks, saving employees鈥� time and resources while improving accuracy, efficiency, and compliance. These process improvements can also enhance employee performance, allowing them to focus on higher-value tasks that drive better business outcomes.

Tasks like customer support see major benefits from efficiency gains through business network automation. Structured data ensures deeper integration with other systems, allowing employees to quickly access complete storefront and portfolio data to respond to customer inquiries faster. Business networks can also provide better visibility and near-real-time data, leading to faster, more accurate responses to customer needs and boosting customer satisfaction by nearly 37%. These improvements help reduce product turn-times and allow companies to deliver products promptly, benefiting both employees and customers.

麻豆原创 Business Network customers also saw invoice approvals and shipping notices processed 50% and 48% faster with automation compared to manual methods. This also led to a 21% increase in on-time document delivery, reaching 91% overall, highlighting the significant impact of 麻豆原创 Business Network on operational efficiency.

With fewer errors, faster payments, and enhanced visibility into financial data, automation through 麻豆原创 Business Network helps procurement teams do more than streamline operations. It can empower them to deliver the added value that companies have been searching for.

Strengthening and streamlining business development efforts

Strong visibility helps teams understand customer needs and use a data-driven approach to identify new opportunities more quickly. Business networks can even help boost a supplier鈥檚 profile as well, with certification and trust ratings that help bring in more business. These metrics can help translate new opportunities into bigger picture products and solutions.

Process automation and accelerated payments inherently increase customer value by responding to their needs faster. At the same time, they give organizations additional time to reach and maintain more customers to drive growth through new agreements that could allow them to scale further. 麻豆原创 Business Network helped customers accelerate their go-to-market speed by 20%, reducing the time from product development to market launch.

Businesses using 麻豆原创 Business Network also report that the effects of speeding up and simplifying the selling processes were crucial to overall business success, showing a 36.8% increase in customer satisfaction and a 53.8% improvement in sales administration efficiency. The total annual revenue gain through these means added up to $2 million per organization.

Leveraging 麻豆原创 Business Network as a supplier

As companies search for solutions that enable them to build resilient, agile, and sustainable supply chains, business networks have emerged as a powerful tool to meet performance goals, improve efficiency, and comply with regulatory requirements.

麻豆原创 Business Network takes this a step further by integrating with both traditional and emerging supply chain management applications. By enabling suppliers to grow their customer base and build stronger relationships through increased visibility and trust, 麻豆原创 Business Network helps empower suppliers to operate more strategically and competitively in today鈥檚 digital economy.

The benefits highlighted in this research complement the buyer-side advantages explored in my previous article, underscoring the holistic value that 麻豆原创 Business Network can bring to the entire supply chain ecosystem. As we continue to navigate the complexities of modern procurement and supply chain management, platforms like 麻豆原创 Business Network will undoubtedly play a pivotal role in shaping the future of business collaboration and efficiency.

Tony Harris is SVP and chief marketing and solutions officer of 麻豆原创 Business Network.

Amid the ongoing stresses to global supply chains exerted by tariffs, geopolitical tensions and the proliferation of mandates in many countries regarding electronic invoicing and materials traceability, how can organizations best deploy cloud-based business networks and artificial intelligence (AI) capabilities to extend visibility, steady the flow of commerce, and mitigate third-party risk?

To instill resilience throughout mission-critical operations and those of their trading partners, businesses are turning increasingly to AI-powered cloud solutions to orchestrate complex, often volatile, supply chains. But the sheer volume of transactions and rigor of processing across vast troves of underlying data require that digital commerce be anchored within an infrastructure durable enough to withstand today鈥檚 pace of change yet supple enough to sustain tomorrow鈥檚 scope of innovation.

That is why some of the most significant innovation underway for , the world鈥檚 largest business-to-business platform, involves its ongoing move to (麻豆原创 BTP), a shift with profound implications for 麻豆原创 customers and their ability to counter disruption.

The cloud-native architecture of 麻豆原创 BTP optimizes collaboration and innovation capabilities for organizations large and small, and the platform offers the scalability that 麻豆原创 Business Network customers and their trading partners require to perform at their peak as business needs evolve. With its high-performing infrastructure, 麻豆原创 BTP ensures seamless connectivity not only between 麻豆原创 Business Network and other 麻豆原创 solutions but across third-party systems as well.

Meanwhile, as differing regulatory regimes for electronic invoicing and materials traceability take effect in various countries, the built-in security and compliance features of 麻豆原创 BTP ensure that businesses can manage multi-tier supply chains while adhering strictly to regional requirements. In addition, ongoing innovation to 麻豆原创 Business Network takes full advantage of extensive AI capabilities in 麻豆原创 BTP to automate complex workflows and securely augment applications with agentic capabilities.

Facilitating carries the obligation that a business network continually earn anew the trust of the enterprises that rely on it for operational continuity, data security, decision-support quality, and regulatory compliance.

For 麻豆原创 Business Network, this means reinvesting on a regular basis in the architecture and infrastructure necessary to accelerate the speed of transactions, responsiveness to up-to-the-minute fluctuations in supply and demand, scalability to support business growth, streamlined integration across 麻豆原创 and non-麻豆原创 systems, greater extensibility and deeper functionality, an intuitive user interface that reduces complexity and friction, and the most advanced, AI-augmented analytics capabilities available anywhere.

The ongoing transition for 麻豆原创 Business Network to 麻豆原创 BTP accomplishes all of the above. Over the long run, however, the change that customers are likely to appreciate most is the ease with which they can innovate alongside their trading partners and shape new business models through the insights harnessed by AI applications drawing upon sprawling repositories of accumulated day-to-day operational data.

While 麻豆原创 Business Network upgrades its platform, it continues to innovate with several new capabilities announced at 麻豆原创 Sapphire. To provide additional support for product compliance and quality control, is introducing these features:

• Mass upload of certificate documents: Suppliers can now bulk upload quality and compliance certificates directly within the advance shipping notification (ASN) upload template at the line-item level, significantly reducing manual effort and improving data accuracy
• Buyer-controlled document mandates: Buyers can specify which type of certifications are required for each purchase order, automatically enforcing compliance and quality standards while streamlining the process

These capabilities simplify the tracking of critical certifications, including sustainability credentials, carbon footprint documentation, and industry-specific certifications. Benefits include improved compliance, reduced delays, enhanced process adoption, and improved traceability, thus supporting regulatory compliance and sustainability goals throughout the supply chain.

To enhance supply chain efficiency and sustainability, is introducing these features:

• Enhanced greenhouse gas emissions tracking: Integration of actual emissions data from carriers and logistics service providers into , enabling planned versus actual analysis, marks a crucial step toward capturing and analyzing data from external sources
• Extended ocean freight support: New ocean tendering and dispute handling functionalities within 麻豆原创 Transportation Management are essential as the global container shipping market is to around US$15.87 billion in 2028

To strengthen the ability of operators, manufacturers, and service providers to manage equipment and other physical assets via a digital network for resiliency and transparency, is introducing these features:

• Cloud-based ERP integration: Users can now initiate and manage ERP integration directly from the cloud, offering greater control over data synchronization
• Enhanced material and model integration: Bi-directional integration of materials and models between 麻豆原创 Business Network Asset Collaboration and ERP systems
• Inbound integration for shared functional locations: Synchronizing shared functional locations to improve collaboration between operators and service providers
• Asset administration shell (AAS) file upload for equipment creation: Automate equipment creation and associated document management through AAS file uploads, reducing manual data entry
• Quality inspection checklists: By the integration of checklists into 麻豆原创 Business Network Asset Collaboration, operators can share their inspection checklists and characteristics with service providers, who can in turn record the results for the operator

All of these enhancements are scheduled to be available by the end of 2025, offering businesses across industries the opportunity to transform their supply chain operations, drive sustainability initiatives, and attain new heights in efficiency, visibility, and competitive advantage.

J枚rn Keller is executive vice president and chief product officer for 麻豆原创 Business Network.

麻豆原创鈥檚 game-changing solution, , is now available globally to help suppliers overcome these hurdles.

This innovative commercial offering is designed to amplify a supplier鈥檚 discoverability and provide a comprehensive suite of value-added features. The promote subscription empowers suppliers to differentiate themselves on 麻豆原创 Business Network, attract new customers, and ultimately grow their business in ways previously unimaginable.

Building trust, streamlining procurement

At the heart of this new offering is the understanding that trust is paramount in any new business relationship. Suppliers that opt for the promote subscription can verify their company details, establishing a solid foundation of trust for buyers seeking new sources of supply. This verification process not only enhances credibility, but also sets the stage for more meaningful and productive business interactions.

The promote subscription goes beyond traditional supplier discovery methods by seamlessly integrating with buyers鈥� 麻豆原创 procurement applications. This integration enhances and simplifies the entire procurement process, creating a more streamlined and efficient experience for all parties involved. Moreover, the subscription leverages leading technology, including two generative AI features, to take supplier visibility and effectiveness to new heights.

Key features

Let鈥檚 delve into some of the features that make the promote subscription standout in the world of B2B commerce.

• Verified status and profile badge: Subscribers gain a competitive edge by showcasing a verified badge on their company profile within 麻豆原创 Business Network. This badge appears in search results and 麻豆原创 procurement applications, such as 麻豆原创 Ariba Sourcing and 麻豆原创 Ariba Supplier Management, instantly boosting credibility and attractiveness to potential buyers.
• Dedicated insights and analytics: The subscription provides suppliers with powerful tools to enhance their catalog performance. Through contextual calls to action, suppliers can leverage keyword recommendations, track profile traffic, and gain insights into the types of buyers viewing their company. This data-driven approach allows suppliers to increase their visibility in search results by taking actions, such as verifying their profile with targeted keywords and sustainability ratings.
• Enhanced network catalog tools: Promote subscribers can effortlessly respond to inquiries, receive new orders, and upload their full suite of products and services onto the 麻豆原创 Business Network catalog. This comprehensive catalog becomes searchable by 麻豆原创 buyers, dramatically increasing exposure. Additionally, subscribers gain access to generative AI for enhancing product descriptions and summaries, as well as open APIs for automatic loading and maintenance of network catalogs.
• Match and respond to qualified leads: The subscription enables suppliers to match with leads from 麻豆原创 Business Network Discovery, 麻豆原创鈥檚 intelligent matchmaking solution. Suppliers can swiftly respond to requests for information by using generative AI to create their responses. They can also track performance with new discovery insights and take advantage of contextual calls to action, such as updating recommended keywords for better matching.

Revolutionizing supplier-buyer connections

The global availability of the promote subscription represents a significant leap forward in 麻豆原创鈥檚 commitment to fostering meaningful connections between suppliers and buyers. With this offering, 麻豆原创 is improving the procurement process by leveraging generative AI to enhance supplier responses, leads, and product descriptions. This provides valuable insights and analytics while creating a trusted environment where verified suppliers can showcase their offerings to potential buyers.

With millions of companies conducting more than $6.3 trillion in commerce annually on 麻豆原创 Business Network, the promote subscription presents a substantial opportunity for suppliers worldwide to accelerate growth and expand their reach. As of now, all suppliers can easily access the new network storefront and add the promote subscription to their account with the simple click of a button. This annual subscription empowers suppliers with enhanced visibility and tools to boost their presence on 麻豆原创 Business Network, regardless of their geographical location.

By simplifying complex processes, leveraging AI technology, and providing crucial insights, we鈥檙e not just facilitating transactions — we鈥檙e fostering lasting business relationships on a global scale. As we continue to fuel the largest B2B network in the world, we invite suppliers to join us in this exciting new chapter of digital commerce, where opportunities are boundless and success is within reach for businesses of all sizes.

Val Blatt is chief revenue officer for 麻豆原创 Supply Chain Management.

New research from IDC shows how 麻豆原创 Business Network can speed up product and order delivery, accelerate go-to-market speed, and deliver significant ROI to drive procurement success.

In today鈥檚 interconnected business landscape, procurement and supply chain management have evolved from back-office functions to strategic drivers of success. As organizations seek to build resilient, efficient, customer-centric supply chains, the adoption of innovative technologies becomes crucial. Enter 麻豆原创 Business Network鈥攁 game-changing platform that鈥檚 revolutionizing how companies procure products and services and manage their end-to-end supply chains.

A recent IDC white paper, sponsored by 麻豆原创, titled 鈥�,鈥� reveals the remarkable impact of 麻豆原创 Business Network on buyer organizations. The findings, based on in-depth interviews with existing customers across various industries, showcase the impressive improvements in efficiency, cost savings, and revenue growth. Let鈥檚 delve into the transformative power of this technology and how it鈥檚 reshaping the procurement landscape.

Accelerating revenue growth through agility and transparency

When organizations can better monitor and share global trend data across teams, they can respond to market demands quicker and accelerate their go-to-market strategy. According to the research, 麻豆原创 Business Network empowered these organizations to:

• Launch products and services 30% faster than before
• Monitor global trends and redirect stock to high-demand areas with agility
• Share real-time data and analytics across teams for quicker market responses

The result? An average annual revenue gain of $66 million, or $1.2 million per 100 trading partners. This impressive growth contributes to an average three-year ROI of 404% for organizations using 麻豆原创 Business Network, with a payback period of just 14 months.

Maximizing efficiency from partner onboarding to order processing

Global supply chain success relies on making repetitive, but essential, tasks as efficient as possible. The respondents indicated that 麻豆原创 Business Network delivered substantial improvements in this area:

• Partner onboarding time reduced by 70% (from 54 days to 16 days)
• Invoice processing time cut by 59% (from 16.3 days to 6.7 days)
• Percentage of invoices processed without exception increased from 64% to 89%
• 60% reduction in full-time equivalents (FTEs) responsible for invoice-related processes

These efficiency gains were particularly significant given that procurement team sizes have remained steady despite increased focus on business strategy and execution. By automating repetitive tasks and providing real-time data for informed decision-making, 麻豆原创 Business Network freed up team members to focus on strategic initiatives.

Similar effects were felt in procurement and supply chain planning, where respondents reported the number of FTEs necessary for these activities decreased by 19% and 47%, respectively.

Realizing millions in total cost savings

麻豆原创 Business Network provides capabilities to help streamline operations, reduce manual interventions, and optimize resource allocation across various functions. The result, as found through the research, was significant cost savings across departments for interviewed companies.

• IT maintenance: Average annual savings of $6.59 million
• Warehouse and logistics: Cost reductions totaling approximately $6.5 million annually
• Inventory management: Optimized stock levels, with one pharmaceutical respondent reducing on-hand safety stock by 50%

In total, respondents experienced average annual cost savings of $13.58 million through reduced operational costs and improved efficiency.

Streamlining operations for enhanced performance

The impact of 麻豆原创 Business Network on operational efficiency was truly impressive:

• Unified IT infrastructure: Elimination of multiple systems, leading to streamlined operations
• Enhanced supplier collaboration: Freeing up team members for strategic tasks
• Improved order tracking and shipment utilization
• Better demand forecasting and stock management

Real-world success

The transformative power of 麻豆原创 Business Network is best illustrated through the experiences of its users. One pharmaceutical company reduced its on-hand safety stock by half, while others reported significant improvements in transportation processes and demand forecasting.

These success stories underscore the network鈥檚 ability to deliver tangible benefits across various industries and business functions. Real-time data and analytics helped companies respond to shifting market demands and capitalize on new opportunities, allowing organizations to launch products and services and get to market on average 30% faster than they did previously.

The findings from the IDC white paper paint a compelling picture of the potential of 麻豆原创 Business Network to revolutionize procurement and supply chain management. By enabling faster go-to-market strategies, improving operational efficiency, and delivering substantial cost savings, the network is helping organizations thrive in an increasingly complex business environment.

As we look to the future, it鈥檚 clear that platforms like 麻豆原创 Business Network will play a crucial role in shaping the next generation of procurement and supply chain excellence. Organizations that embrace this technology stand to gain a significant competitive advantage, driving growth and innovation in ways previously unimaginable.

Next steps

Ready to explore the potential impact of 麻豆原创 Business Network on your organization? Here are some resources to help you get started:

• for an in-depth look at the findings.
• featuring representatives from 麻豆原创 and IDC discussing key findings from the business value study. 
• Try out developed by IDC for a personalized organizational assessment of the ROI 麻豆原创 Business Network could deliver for your company.

Stay tuned for upcoming insights that will highlight the benefits of 麻豆原创 Business Network specifically for suppliers, complementing the buyer-focused insights presented here. The future of procurement is bright, and 麻豆原创 Business Network is leading the way in unlocking procurement and supply chain management potential and driving business success.

Tony Harris is SVP and head of Marketing & Solutions for 麻豆原创 Business Network.

According to the IDC MarketScape, “The company鈥檚 ability to cover end-to-end operations and integrate planning within a core system comes ready to implement.” The report also noted that “麻豆原创鈥檚 size and scope is globally expansive, and the company鈥檚 client base in supply chain planning is extensive.”

Other key strengths recognized include:

• Analytics and dashboarding with both web-based and Excel-based interfaces
• Ready-to-implement and business-tested sets of algorithms across planning
  functions
• Synchronized planning integrating finance, supply chain planning, and execution
• AI and machine learning demand planning enabling what-if scenario modeling, demand sensing, analytics, new product introduction, and more
• Inventory optimization integrated with SIOP and S&OP processes

麻豆原创 was also positioned in the remaining supply chain planning vendor assessments:

• A Leader in the IDC MarketScape for Worldwide Supply Chain Planning for Process Industries 2024 Vendor Assessment
• A Leader in the IDC MarketScape for Worldwide Supply Chain Planning for Life Sciences Industries 2024 Vendor Assessment (doc #US51047123, November 2024)
• A Leader in the IDC MarketScape for Worldwide Supply Chain Planning for Distribution Industries 2024 Vendor Assessment
• A Leader in the IDC MarketScape for Worldwide Supply Chain Planning for Discrete Industries 2024 Vendor Assessment
• A Major Player in the IDC MarketScape for Worldwide Supply Chain Planning in Spare Parts/MRO 2024 Vendor Assessment (doc #US51541424, December 2024)

麻豆原创鈥檚 composable approach to providing planning solutions for its customers coupled with native integration between those composable elements and ERP systems allows companies to orchestrate their supply chain to help meet their specific needs. That same composability can allow companies to extend and expand their solutions at their own rate with minimal disruption to existing processes.

Native connectivity with 麻豆原创鈥檚 ERP and additional extended function applications can provide the data foundation for multiple artificial intelligence use cases. AI use spans advanced algorithmic machine learning, generative AI for analysis of complex structured and unstructured data, and, soon, agentic AI to analyze data, initiate actions, and ultimately recommend and execute planning decisions. Since supply chain orchestration requires multi-enterprise collaboration, 麻豆原创 helps provide trading partner connectivity through its best-in-class business network, which can not only connect trading partners for business transactions but also for end-to-end, collaborative, and continuously interactive planning processes.

Supply chain business needs to go far beyond distant promises of what could be and requires solutions that solve real problems today, leveraging the right technology in the right place for the right purpose. 麻豆原创鈥檚 strategy is to provide data, applications, and AI that help keep the business running while continually evaluating evolving technologies that can be practically applied.

麻豆原创 is delighted to be recognized by the IDC MarketScape in supply chain planning. We remain committed to being a trusted partner, providing reliable software solutions that help meet the evolving needs of our customers. We will continue to incorporate new and cutting-edge technologies where they offer clear business value, helping our customers to excel and be their very best.

Sources: IDC Marketscape: Worldwide Supply Chain Planning Overall 2024 Vendor Assessment, November 2024, IDC #US52694624e; IDC MarketScape: Worldwide Supply Chain Planning for Process Industries 2024 Vendor Assessment, October 2024, IDC #US51273023e; IDC MarketScape for Worldwide Supply Chain Planning for Distribution Industries 2024 Vendor Assessment, October 2024, IDC #US51272924e; IDC MarketScape for Worldwide Supply Chain Planning in Discrete Manufacturing 2024 Vendor Assessment, October 2024, IDC #US51272724e

Jay Foster is global product marketing director for Supply Chain Planning at 麻豆原创.

In this era of constant disruption, 麻豆原创 stands at the forefront of supply chain transformation. Our vision is clear: to empower our customers with transparent, resilient, and sustainable supply chains. We鈥檙e committed to delivering innovative cloud solutions and collaborative business networks that enable autonomous supply chains seamlessly integrated with .

To spearhead this critical business, 麻豆原创 recently appointed Dominik Metzger as the new president and chief product officer of Supply Chain Management at 麻豆原创. Metzger brings a wealth of experience and deep-rooted passion for tackling supply chain complexities. His years of hands-on work with customers navigating disruptions and driving transformation make him uniquely qualified to lead 麻豆原创鈥檚 new unit. This team combines , , and solutions, positioning the company to address the multifaceted challenges of modern supply chain management.

Nearly three months into this role, I caught up with Metzger to hear about how he鈥檚 adapting and his vision for the future of supply chain management at 麻豆原创.

Q: Having spent the last five years working in a variety of roles at 麻豆原创, what are your priorities for the new role?

A: During my time at 麻豆原创, I鈥檝e seen how supply chain management has transitioned into a dynamic and connected ecosystem that demands constant collaboration, end-to-end data integration, and agile processes to keep pace with constant disruptions. My chief priority is to ensure that we help customers not only respond to disruptions but also proactively prepare and act. We can do so by leveraging AI, generative AI, real-time data, and predictive analytics with the power of 麻豆原创鈥檚 technology. Our vision is to build an autonomous supply chain, enabling customers to have highly efficient processes and personalized, context-rich insights that incorporate data from across the enterprise. This approach allows their teams to focus on truly complex decisions.

With 麻豆原创 Business Suite, we offer our customers deeply connected, end-to-end supply chain processes鈥攆rom product data management for discrete and formulated products to planning the demand, supply, production, and inventory levels to purchasing parts and materials to manufacturing execution, logistics, and finally asset and service operations. These processes are turbocharged with a wealth of AI capabilities to help truly bring the experience to a business user.

Yet, AI is only as good as the data it runs on, so we are committed to ensuring all processes are relevant and responsible. Our recent launch of 麻豆原创 Business Data Cloud (麻豆原创 BDC) is a cornerstone of helping our customers fix their data at its very core, within the context of their business process. This makes any ontology or data semantic discussion obsolete: 麻豆原创 can provide out-of-the-box, semantically aligned data products, spanning end-to-end supply chain functions, enriched with unstructured data through our partnership with Databricks.

Our AI-first strategy will help enable companies to leverage the wealth of structured and unstructured data to become highly adaptive and, ultimately, autonomously act on even the most complex disruptions. This holistic approach helps guarantee that customers will shape their supply chain strategies with real-time intelligence. By embedding this technology deep into 麻豆原创鈥檚 supply chain management applications, we can drive greater productivity, improve operational efficiency, and create more resilient, agile networks that can adapt to shifting market conditions. We are now conquering the next frontier of truly autonomous supply chain agents, contextually rich and deeply anchored in customers鈥� business processes.

Now, one of the most valuable sources of data we have not yet discussed: data out of your n-tier supply chain. In the highly interconnected environments companies are operating in, the supply chain business is a network business. My top priority is to enable our customers to benefit from the immense value of 麻豆原创 Business Network. Our emphasis lies on increasing operational visibility and efficiency. Deep collaboration can enable buyers to identify new sources of supply, even during times of disruption. With market conditions constantly shifting, we are helping businesses to identify risks in the depth of their upstream supply chains to keep operations running and significantly reduce time to recovery.

How has your previous experience helped shape you for this position?

My career has taken me around the world鈥攆rom Southeast Asia to Europe to the Northeast United States鈥攁nd through various roles. In my early days, I served as a supply chain application consultant, learning the nuances of 麻豆原创 technology, the intricacies of industry processes, and the challenges that go along with technology transformations for 麻豆原创 customers. This helped shape my approach, as I aim to deliver real value by ensuring our solutions are adaptable and capable of driving meaningful business outcomes.

Additionally, while I鈥檓 now based in Munich, Germany, I spent years of my adult life in Singapore and New York City. I was exposed to different business cultures, market dynamics, regulatory environments, and languages. This reinforced the importance of flexibility, creativity, and inclusivity, as 麻豆原创 supply chain management strives to build globally scalable solutions. In this new role, I鈥檓 combining those insights and experiences to guide supply chain management at 麻豆原创. I want our offerings to align with the real-world challenges our customers face daily, regardless of whether they鈥檙e a retailer in Asia or a manufacturer in North America. Ultimately, my experience has driven my commitment to ensuring our solutions are relevant, adaptable, and impactful.

Can you share some insight into what we can expect from 麻豆原创鈥檚 supply chain management team over the coming months?

We will focus on integrating 麻豆原创鈥檚 broader AI-first, suite-first strategy that enables customers to seamlessly implement advanced technologies into their daily operations. Our focus will be on expanding automation, improving supply chain orchestration, and bolstering business network collaboration鈥攁ll critical steps to maintaining resilience in an ever-evolving market.

Another priority is reducing emissions and helping customers meet sustainability goals. Through , customers can integrate carbon emissions data into existing digital supply chain technology, aligning sustainability with sourcing and supply chain management strategies.

My team is also working on several exciting product launches, including announcements at 麻豆原创 Sapphire in May and 麻豆原创 Connect in October. Be sure to tune into both events for more information.

A strong, diverse, and collaborative team is essential in addressing any client challenge. By uniting diverse perspectives and expertise under one vision, we can develop platforms that deliver meaningful, long-term business outcomes for 麻豆原创 customers around the world.

Cindy McKendry is director of Corporate Communications for Intelligent Spend and Supply Chain at 麻豆原创.

But what exactly is data federation? And why does it hold so much promise for customers in Saudi Arabia and elsewhere?

To counter the ever-present threat to global supply chains posed by disruption鈥攚hether arising from geopolitical conflict, labor unrest, financial crisis, natural disaster, or other upheaval鈥攂usinesses are turning increasingly to cloud-based solutions to extend visibility and instill resilience across their operations and those of their trading partners, particularly when managing supply chains, logistics, and dispersed capital equipment or other mission-critical assets. Yet just as businesses must assess risk on an international scale to stay competitive, they also must comply with a burgeoning set of regulations around the world requiring operational data to reside physically within a nation鈥檚 borders. By applying cloud-based solutions, businesses can transact commerce through global digital networks while adhering strictly to regional data residency requirements through an approach known as data federation.

Data federation permits operational information from disparate sources to be accessed and updated as though it resided in a single, unified location. Instead of moving or copying data from one system to another, federation provides users with real-time access unburdened by duplication.

Federation becomes crucial when an organization must unify its data across different storage platforms while ensuring the integrity and security of the underlying operational sources. This becomes particularly vital for companies with complex data architectures, whose data may reside in 麻豆原创 systems, cloud data lakes, or third-party applications. Data federation brings multiple advantages, especially in hybrid or multi-cloud environments, including global access, cost efficiency, unified governance and security, and faster time to insights.

But the advantages extend still further. With the launch of our KSA data center, 麻豆原创 Business Network core services have been deployed. This includes multilingual support, such as proficiency with languages read right-to-left like Arabic, and a Federated Trading Partner Index Service for routing transactions between different data centers. Saudi customers can thus adhere to local data privacy regulations while retaining the ability to collaborate and transact with trading partners around the world.

Why Is This Important?

With the deployment of 麻豆原创 Business Network in the KSA data center, public sector or critical national infrastructure (CNI) customers and prospects in KSA can rest assured that regulations have been followed strictly, allowing these organizations to transact on 麻豆原创 Business Network for Logistics and 麻豆原创 Business Network Asset Collaboration. Data federation helps ensure that trading partners can find each other, regardless of where they may be registered.

What鈥檚 Next?

The deployment of 麻豆原创 Business Network for Logistics and 麻豆原创 Business Network Asset Collaboration for Saudi customers in the public and critical national infrastructure sectors, for whom data federation is crucial, marks only the initial step. Later this year, both products will become available for private-sector customers in KSA as well. and will also be deployed in the KSA data center in coming quarters. Meanwhile, 麻豆原创 will continue to expand its data center footprint and data federation program across the globe, with the expansion of 麻豆原创 Business Network capabilities throughout 2025 and beyond.

For information on 麻豆原创 Business Network and how we are equipping enterprises with business AI and related capabilities needed to instill resilience, counter disruption, and foster collaboration, visit and .

J枚rn Keller is chief product officer for 麻豆原创 Business Network.