The announcement was made at HANNOVER MESSE 2026, where they showcased PacXplorer, a high-tech packaging machine from Uhlmann that serves as both an industrial demonstrator and a development platform.

PacXplorer: Connected Production in Industrial Practice

Developed through collaboration within Factory鈥慩, the PacXplorer brings together digital twins, condition monitoring, smart services and interoperable production solutions within a collaborative data ecosystem. Factory鈥慩 is a lighthouse project funded by the German Federal Ministry for Economic Affairs and Energy as part of the Manufacturing鈥慩 initiative. Its objective is to establish a decentralized data space for the capital goods industry, enabling secure and interoperable data exchange across companies and industries for equipment manufacturers and operators alike.

The machine is integrated into 麻豆原创 system landscapes and operated live. It demonstrates how industrial data can be used in a sovereign, interoperable and cross鈥慶ompany manner not as a theoretical model, but in real production operations. This creates transparency regarding asset condition, utilization and performance while laying the foundation for new data鈥慸riven services.

Service as a Key to Resilience

The value of this approach becomes particularly clear in service operations. Where production, data and operations are tightly interconnected, service plays a decisive role in ensuring asset availability, productivity and stable customer relationships. One often underestimated lever is spare parts service: delays lead directly to downtime and economic losses, especially in volatile market and supply situations. At the same time, these processes remain heavily manual in many industrial companies.

麻豆原创 and Uhlmann are deliberately advancing the further development of this area. An AI鈥憇upported process assists throughout the entire workflow from handling incoming inquiries and clarifying missing information to identifying the correct spare part and generating quotations. The approach integrates into existing 麻豆原创 service and sales processes and is closely aligned with real鈥憌orld business operations. The objective is fast, reliable and scalable customer service.

鈥淭oday, industry is less concerned with cost optimization than with decision鈥憁aking under uncertainty,鈥� says Dominik Metzger, President and Chief Product Officer, 麻豆原创 Supply Chain Management, 麻豆原创 SE. 鈥淲ith 麻豆原创 Business AI and integrated production and service solutions, we move decision鈥憁aking directly into business processes. This allows companies to identify risks early, respond with greater flexibility and remain operational even under unstable conditions.鈥�

Rethinking Value Creation Together

The collaboration between 麻豆原创 and Uhlmann illustrates a fundamental shift in industry: resilience is not achieved through additional buffers, but through better, faster and more-connected decisions across the entire value chain. Companies that manage their production and service processes in a data鈥慸riven way can respond more flexibly to change and secure their competitiveness over the long term.

Beyond HANNOVER MESSE, 麻豆原创 and Uhlmann will continue their innovation partnership. Following the event, the PacXplorer will be operated at the S.Factory in 麻豆原创 Experience Center Walldorf, serving as a platform for customers, partners and co鈥慽nnovation to continuously advancing industrial transformation.

Visit the . Get 麻豆原创 news via  and .

Media Contact:
Dana Roesiger, +49 6227 7 63900, dana.roesiger@sap.com, CET
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.  Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

Image copyright: 漏Uhlmann Group

Click the button below to load the content from YouTube.

Always allow YouTube

, our new user experience, is gaining momentum and driving significant impact for our customers. Customers are already efficiency, enhancing processes, improving , and .

Joule is now live across 35 solutions and will continue to meet our customers where they are: across the applications they use, with a firm understanding of their business context and data. That鈥檚 why in Q1 we are embedding Joule into more applications鈥攆rom 麻豆原创 Datasphere, where it can now execute tasks or explain specific functionalities, to 麻豆原创 Intelligent Clinical Supply Management, where users can use natural language to retrieve critical data and navigate to relevant applications.

Joule Agents, such as the Tender Analysis Agent, are boosting customer revenue growth by extracting critical requirements and flagging risks in complex documents. While project managers in 麻豆原创 S/4HANA Cloud Public Edition are saving time setting up projects with the new Project Setup Agent. Plus, there are many more agents to discover below.

Agents are becoming a key new user鈥攁nd enabler鈥攐f enterprise software, joining humans as the only other non-deterministic operators while simultaneously expanding enterprise software鈥檚 scope and usefulness. Our agents will continue to deliver trustworthy, repeatable, and auditable results every time.

We now have over 30 specialized agents and more than 2,500 Joule Skills. The agent-to-agent protocol means our agents work across 麻豆原创 and non-麻豆原创 systems. As the number of agents grows across both, 麻豆原创 AI Agent Hub already today provides customers with the essential infrastructure and guardrails to manage, govern, and discover agents in this new ecosystem.

Some highlights from Q1 2026:

• 麻豆原创 Joule for Consultants is a conversational AI solution that provides expert guidance on cloud transformations, drawing on 麻豆原创鈥檚 knowledge base. To improve trust and traceability, citations are now displayed in a dedicated side panel and can be grouped for clarity. Administrators can enable web search, allowing Joule to draw from public content while maintaining clear source attribution. For tailored answers to problems where the system may not have customer-specific documentation, consultants can now upload up to 10 PDF or text files directly into the chat. This is further enhanced by the inclusion of content from the 麻豆原创 Enterprise Architecture Reference Library, which provides more complete and accurate answers to complex queries. Get started here.
• 麻豆原创 Business AI for supply chain minimizes disruptions and simplifies planning. The Project Setup Agent allows project managers to rapidly establish new projects by drawing on data from past initiatives. 麻豆原创 Integrated Business Planning users can now generate complex formulas in Microsoft Excel with natural language. 麻豆原创 Digital Manufacturing can distill complex manufacturing issues into clear descriptions. Joule is also helping 麻豆原创 Integrated Product Development users create problem reports and requirement models with simple, natural-language commands. Explore more below.
• 麻豆原创 Business AI for finance offers greater efficiency and insight across critical processes. Joule now translates complex e-invoicing errors into plain language. The Dispute Resolution Agent automates root-cause analysis for invoice disputes, while payment advice processing significantly reduces document processing time. Unstructured data, such as PDFs, can now be automatically transformed into sales orders, and accountants can access natural language explanations for complex fixed asset calculations. Users can personalize their home page and easily understand system errors using natural language across 麻豆原创 S/4HANA Cloud Public Edition. Learn more below.
• 麻豆原创 Business AI for procurement and customer experience enhances the entire commercial journey with new capabilities. In procurement, automated statement of work (SOW) creation in 麻豆原创 Fieldglass reduces the time to define deliverables. The Catalog Optimization Agent means e-commerce managers can continuously improve product data quality. In retail, managers can get instant, conversational answers from Joule on order management data. There’s so much more to learn below.
• 麻豆原创 Business AI for IT and developers puts the latest tools and greater control directly into the hands of developers and data professionals. Joule is now generally available in 麻豆原创 Datasphere, enabling users to navigate the platform, get answers, and execute tasks using simple conversational language. The generative AI hub in AI Foundation continues to expand, offering developers access to the newest models, including OpenAI GPT 5.2, Gemini 3.0 Pro, Anthropic Claude Opus 4.6, and Claude Sonnet 4.6. Developers also gain greater power through enhancements such as advanced prompt optimization, metadata filtering, and declarative orchestration configurations in the prompt registry. Additionally, 麻豆原创 Document AI now offers more granular control with custom confidence thresholds and expanded document support. Dive into everything below.
• 麻豆原创 Business AI for industries delivers specialized intelligence to solve unique business challenges. Sales teams can accelerate their response process with the new Tender Analysis Agent, which automates the review of complex RFQ documents to improve win rates. Joule now works with 麻豆原创 Commodity Management to turn verbal or written negotiations directly into detailed draft deals. In life sciences, clinical supply professionals can use predictive analytics to reduce inventory waste costs, and Joule dramatically cuts information search time. 麻豆原创 Self-Billing Cockpit automates invoice data extraction from any format, significantly reducing manual processing time. Discover more for industries below.
• 麻豆原创 Business AI for business transformation management provides the critical insights needed to navigate and accelerate organizational change. Joule is now in 麻豆原创 Signavio, enabling natural-language searches that cut information discovery time. Business process model and notation simulations in 麻豆原创 Signavio provide clear, actionable summaries directly within process diagrams. Meanwhile, enterprise architects can leverage guidance in 麻豆原创 LeanIX to surface actionable insights directly from their architecture inventory, accelerating transformation execution and reducing the time to uncover them. Read more about transformation management below.

Joule

Joule, enhancements

User experience is improved by streamlining startup times and introducing cross-thread search functionality that lets end users find information across all conversation threads without manually checking individual histories. The document grounding capability has also seen a substantial upgrade, now supporting seamless integration with Google Drive.

To set up, see: , , and .

Furthermore, scalability has been greatly improved, as the system now supports up to 8,000 documents per pipeline, enabling large-scale data repositories to be processed and utilized efficiently.

For more information, see .

麻豆原创 Joule for Consultants, enhancements

Enhanced Citation Visibility
麻豆原创 Joule for Consultants has improved how citations are displayed for all identified sources returned by the product. Citations have been relocated to the right side in a dedicated panel for clearer visibility, and now also include public web search results when applicable (see below).

A new grouping feature has also been added, allowing citations to be grouped. This update provides users with a more transparent view of where information originates, strengthens trust, and improves traceability across all responses.

To see the sources and panel, click the sources button below each message; the panel will open on the right, showing all grouped sources.

Enable Web Search
Administrators can now enable/disable web search via the control panel for all assigned end users in 麻豆原创 Joule for Consultants.

When enabled, 麻豆原创 Joule for Consultants will consider public web content in its reasoning and cite relevant public sources in responses when they contribute to the answer. This enhancement gives organizations greater flexibility and transparency by enabling broader coverage of information while maintaining clear source citations for all sources used.

File Uploads in the Joule Message Input
End-users can now upload up to 10 files directly from the conversational message input box and reference them throughout the entire conversation.

Supported file types include PDF and TXT. Each file should be no more than 10 MB/600K characters; for PDFs, an approximation. A 100-page limit applies; if your file is larger, split it into multiple documents. Image files are currently not processed and will be ignored. We are working diligently to make this feature even more useful to end users. This enhancement enables richer, context-aware interactions by allowing you to incorporate your uploaded documents into its conversational responses throughout the session. Please be aware that the standard data privacy terms apply. See also the help documentation for additional information on the free user quota.

Content: 麻豆原创 Enterprise Architecture Reference Library
麻豆原创 Enterprise Architecture Reference Library data has been ingested and is now available for use in conversations. As more data is added, relevant portions may be included in 麻豆原创 Joule for Consultants鈥� responses, enabling more complete, accurate, and context-rich answers to user queries. Since 麻豆原创 Enterprise Architecture Reference Library content cannot be link-referenced, you won鈥檛 see the additional content listed under sources, even though it will be referenced.

Get started .

SECTION

麻豆原创 Business AI for supply chain

Project Setup Agent
Beta release

Project managers can now rapidly establish new projects by drawing on data from similar past initiatives. The agent bypasses complex interfaces and reduces reliance on the project management office (PMO) to facilitate the swift allocation of key resources needed to launch projects effectively. With a 10% reduction in project creation time, 16% faster resource allocation, and 30% less time spent reworking projects due to incorrect templates, teams can shift focus from operational coordination to improving project profitability and driving efficiency.

Get started .

麻豆原创 S/4HANA Cloud Private Edition, AI-assisted retrieval of equipment information in service management
General availability

Service managers using the AI-assisted retrieval feature in 麻豆原创 S/4HANA Cloud Private Edition gain a complete 360-degree view of customer equipment. The feature provides instant access to warranty information and a full history of service transactions, complemented by an AI summary and actionable recommendations. This allows service managers to more efficiently oversee service schedules, reduce potential downtime, and ensure customer equipment operates at peak performance.

Get started .

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted input recommendations for returns order creation
General availability

Returns clerks can accelerate the creation of customer returns with data field recommendations powered by historical data. This feature analyzes past return documents with similar process variants to automatically suggest the most common input values and return reasons, minimizing manual data entry and reducing errors. Organizations benefit from a one percent reduction in data management costs and a five percent decrease in business and operations analysis expenses, enabling returns teams to process orders more efficiently while maintaining accuracy.

Get started .

麻豆原创 Integrated Business Planning, AI-assisted MRO inventory analysis
General availability

Inventory planners get a new analytical assistant in the MRO inventory analysis feature for 麻豆原创 Integrated Business Planning. The feature accelerates root cause analysis by generating clear, natural-language summaries that explain the key drivers behind recommended safety stock and reorder points. By translating complex calculations into understandable insights, this capability enables planners to reduce time spent analyzing inventory runs by 30%, leading to faster adoption of outputs and ensuring that inventory parameters align with strategic business goals.

Get started .

麻豆原创 Integrated Business Planning, add-in for Microsoft Excel, AI-assisted planning
General availability

Supply chain planners can now simplify their work with a new AI-assisted planning add-in for Microsoft Excel. Instead of manually creating complex formulas or formatting rules, which often require technical expertise, they can simply describe their needs in natural language, and the system automatically generates the correct syntax. This intuitive way of interacting with the system removes technical barriers and improves a planner鈥檚 efficiency by 10%, freeing them to focus on strategic analysis rather than implementation details.

Get started .

麻豆原创 Integrated Business Planning, AI-assisted system security check
General availability

Supply chain planners and security analysts gain a robust way to assess system configurations against established security recommendations. The feature evaluates compliance states and provides clear guidance on required adjustments, helping administrators identify and address potential gaps while aligning configurations with 麻豆原创 best practices. Organizations can expect a 27% increase in compliance with hardening guidelines and a 32% reduction in the effort required to meet security recommendations. This feature strengthens the protection of sensitive data and reduces the risk of security breaches.

Get started .

麻豆原创 Integrated Product Development, AI-assisted problem report creation
General availability

Maintenance engineers can simplify the creation of formal problem reports by leveraging AI capabilities in 麻豆原创 Integrated Product Development. By describing an issue in their own words to Joule, it intelligently extracts key details like the problem name, tags, and priority, and then automatically generates a structured report. This streamlined process dramatically reduces manual data entry and ensures all reports are consistent and compliant with organizational standards, improving overall efficiency.

and get started .

麻豆原创 Integrated Product Development, AI-assisted requirements model creation
General availability

Requirements managers now have a more direct path to creating requirement models within 麻豆原创 Integrated Product Development by using natural language commands with Joule. This feature allows them to initiate new models, specify names, and apply templates in a single step, completely bypassing the need to navigate through complex folder structures. This streamlined approach provides a much faster starting point for new projects and empowers users to begin their work immediately without requiring deep knowledge of the repository layout.

Get started .

麻豆原创 Field Service Management, AI-assisted automated scheduling analytics
General availability

Field service dispatchers and consultants can now access clear, on-demand explanations of auto-scheduling results that demystify complex system logic. The new feature interprets scheduling reports and translates technical scoring details into business-friendly insights, explaining why specific technicians were assigned, why alternatives were passed over, and why certain activities remained unscheduled. This transparency drives a 12.5% increase in dispatcher productivity and a five percent reduction in erroneous resource allocations, strengthening trust in automated decisions while significantly reducing analysis time.

Get started .

麻豆原创 Digital Manufacturing, AI-assisted description enhancement
General availability

Quality managers documenting complex manufacturing issues can now generate clear, objective, and structured descriptions with minimal effort. 麻豆原创 Digital Manufacturing for issue resolution offers description generation that refines rough initial inputs, removes bias and subjective language, and produces balanced, factual problem statements. With support for multilingual translation and enhanced clarity, organizations can achieve up to five percent improvement in quality engineer efficiency during issue handling and up to 10% reduction in errors throughout the problem resolution process.

Get started .

麻豆原创 Business AI for finance

Dispute Resolution Agent (for 麻豆原创 S/4HANA Cloud Public Edition)
Beta release

When invoice disputes arise, accounts receivable specialists need to act quickly without sacrificing accuracy. 麻豆原创 S/4HANA Cloud Public Edition introduces an agent that automates root-cause analysis, scanning invoices, sales orders, delivery records, pricing agreements, and tax rules to identify the source of discrepancies. The agent detects incorrect charges and recommends compliant solutions, such as credit memo creation, enabling finance teams to resolve disputes faster, minimize manual investigation, and cultivate stronger vendor relationships through transparent, efficient processes.

Get started .

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted smart personalization of my home for applications
General availability

麻豆原创 S/4HANA Cloud Public Edition users can easily configure their home page with the most relevant applications through AI-assisted smart personalization. By describing their task in natural language, the system identifies the appropriate app, which can then be added to their home screen with a single click. This intuitive capability reduces the cost of personalizing the home page by 33%, shortens the learning curve for new users, and improves satisfaction by keeping frequently needed tools readily accessible.

Get started .

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted error explanation
General availability

When encountering system errors, 麻豆原创 S/4HANA Cloud Public Edition users can turn to a new feature that generates clear, natural language explanations and resolution recommendations. This capability transforms cryptic error messages into easy-to-understand guidance, helping users of all experience levels quickly rectify issues and continue with their work. By reducing error resolution time by five percent, organizations benefit from increased productivity, improved data quality, and shorter training cycles for new team members.

Get started .

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted sales order creation from unstructured data
General availability

Sales representatives benefit from a streamlined order creation process in 麻豆原创 S/4HANA Cloud Public Edition that handles unstructured data like PDF or image-based purchase orders. After uploading a file, 麻豆原创 Document AI automatically extracts the relevant information and proposes the data for a corresponding sales order request. This automation significantly reduces manual data entry, minimizes errors, and improves overall operational efficiency, allowing teams to process orders faster and enhance customer satisfaction.

Get started .

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted processing of payment advices with 麻豆原创 Document AI
General availability

Accounts receivable clerks can accelerate their workflow using the 麻豆原创 Document AI-powered payment advice processing feature in 麻豆原创 S/4HANA Cloud Public Edition. The system automatically extracts payment amounts, references, and currencies from diverse invoice formats across multiple languages, with a self-learning capability that continuously improves recognition accuracy. Organizations implementing this feature can reduce document processing time by 70%, cut template maintenance time by 83%, and decrease value loss from manual processing delays by 40%.

Get started .

麻豆原创 S/4HANA Cloud Private Edition, AI-assisted fixed asset key figures explanation
General availability

Asset accountants gain clarity on complex fixed asset calculations through a new AI feature in 麻豆原创 S/4HANA Cloud Private Edition. The feature generates natural-language explanations that detail the origins of displayed values and how figures such as depreciation are calculated; for example, illustrating the impact of mid-year acquisitions with specific depreciation keys. This transparency reduces the effort required to analyze asset values, enables faster responses to asset-related questions, and helps mitigate compliance risks.

Get started .

麻豆原创 S/4HANA Cloud Private Edition, AI-assisted settlement rule proposal for asset capitalization
General availability

Overhead and asset accountants can now streamline the complex process of creating settlement rules for investment measures, eliminating the traditionally time-consuming, error-prone manual configuration. The solution automatically determines receivers, calculates percentages, and proposes feasible rules based on contextual data and user-defined instruction profiles. Organizations reduce the effort required to create full settlement rules by 50% while simultaneously improving accuracy in asset capitalization and enhancing overall operational efficiency across their financial processes.

Get started .

麻豆原创 Document and Reporting Compliance for 麻豆原创 S/4HANA Cloud Private Edition, AI-assisted electronic document error handling
General availability

Tax accountants navigating the growing complexity of e-invoicing mandates across multiple countries gain an easy way to decode technical errors without wading through intricate XML or JSON formats. Joule, integrated with 麻豆原创 Document and Reporting Compliance, delivers plain-language explanations of electronic document errors, enabling faster root-cause identification and more efficient resolution. Organizations get an 80% reduction in time spent understanding and resolving errors, dropping from 150 minutes to approximately 30 minutes. This results in faster processing cycles, reduced penalty risks, and improved cash flow.

Get started .

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted error resolution for cost accounting
General availability

Operations managers in retail organizations can now access Joule via 麻豆原创 Order Management Services, enabling them to query order data and receive real-time, role-specific operational guidance across order processing, orchestration, sourcing, availability, returns, and fulfillment flows. Joule surfaces instant insights and recommended actions directly in the workflow, reducing the need to navigate multiple systems. This enables proactive intervention before issues escalate. The feature offers faster transaction access, improved responsiveness and accuracy, and lower operational risk, which support smarter, quicker decisions across the order lifecycle.

Get started .

麻豆原创 Business AI for spend management

Expense Report Validation Agent
General availability

Business travelers can enjoy a smarter, guided approach to expense report completion with an agent that proactively identifies missing items, prompts for necessary details, and clarifies confusing alerts throughout the submission process. By simplifying how users understand and resolve issues, the agent ensures accurate, policy-compliant reports with minimal effort required. This means a 30% reduction in time spent preparing and submitting reports, a 24% increase in first-pass approvals, and a noticeably improved employee experience that removes friction from the expense management process.

Get started .

Expense Pre-Submit Audit Agent
麻豆原创 Early Adopter Care

Expense report submitters can now catch receipt accuracy issues and policy breaches before hitting the submit button, avoiding the frustration of rejected reports and delayed reimbursements. This agent automatically reviews expenses during creation, surfacing compliance problems and offering smart suggestions for quick corrections. The agent uses a non-blocking design that keeps users in control of final decisions. Organizations benefit from a 10% decrease in sent-back expense reports, reduced rework for travelers, managers, and auditors alike, and a noticeably smoother reimbursement process that enhances the overall employee experience.

Get started .

Expense Automation Agent
麻豆原创 Early Adopter Care

Employees burdened by the administrative chore of creating expense reports can now delegate the heavy lifting to a Joule Agent. This agent automatically builds expense reports by aggregating transactions, populating custom fields based on contextual details and user history, and preparing everything for a quick review before submission. The outcome is up to 30%鈥� reduction in time on task for auto-generated expense reports. This offers a modern expense management experience that slashes manual data entry, accelerates the submission process, and frees employees to focus on high-value work rather than paperwork.

See the demo .

Concur Expense, AI-assisted configuration for audit rules
General availability

Expense administrators responsible for managing complex audit rule setups can now interact with their configuration environment in plain language, eliminating the need for deep technical expertise or tedious manual adjustments. This AI-assisted feature enables admins to search existing rules, create new ones, and receive real-time explanations simply by asking questions like “What rules apply to meals in France?”, delivering clear, actionable guidance instantly. The outcome is a 40% reduction in audit rule configuration effort, fewer support tickets, and empowered administrators who work with greater independence, accuracy, and confidence in maintaining compliance logic.

Get started .

Policy Navigator
麻豆原创 Early Adopter Care

Business travelers seeking quick answers to company travel and expense policies no longer need to sift through lengthy documents or wait for admin responses. Policy navigator in Joule allows employees to ask questions in natural language and receive clear, contextual guidance grounded in approved policies, whether planning a trip, in the middle of a journey, or completing an expense report. The result is in-the-moment policy clarity that prevents non-compliant spend before it happens, reduces support tickets, and empowers travelers to make confident, compliant decisions without disrupting their workflow.

Get started .

麻豆原创 Business AI for procurement

麻豆原创 Fieldglass Services Procurement, AI-assisted SOW deliverables creation
General availability

Procurement specialists can accelerate the development of their statements of work using the deliverables feature in 麻豆原创 Fieldglass Services Procurement. The feature analyzes the defined project scope and automatically generates precise, relevant deliverables that ensure tight alignment between buyer expectations and supplier commitments. By adopting this capability, organizations can reduce the time required to manually create SOW deliverables by 70% and cut the risk of poor outcomes by 50%, while fostering stronger collaboration during the negotiation process.

Get started .

麻豆原创 Business AI for customer experience

Catalog Optimization Agent
General availability

E-commerce product managers tasked with maintaining large 麻豆原创 Commerce Cloud catalogs gain an always-on agent that continuously reviews product descriptions, attributes, and translations against company quality standards. This agent pinpoints merchandising gaps and delivers actionable recommendations to enhance catalog accuracy, ensure consistency across languages, and improve product discoverability. The business impact is a 70% reduction in time to translate catalog data, 65% less time spent adding descriptions per asset, and a five percent reduction in data quality costs, all of which contribute to higher conversion rates and a more agile merchandising operation.

Get started .

麻豆原创 Revenue Growth Management, AI-assisted trade promotion creation
General availability

Key account managers in consumer industries can benefit from a streamlined, single-view promotion-creation experience in which simply naming a promotion automatically populates key fields. Drawing on master data, historical promotions, and learned preferences specific to each retailer, the system suggests dates, types, durations, and sell-in periods, then continuously refines its recommendations based on user edits over time. The impact is a 75% reduction in promotion setup time, 30% fewer data-entry errors and rework, and increasingly personalized suggestions that eliminate repetitive manual effort across promotion cycles.

Get started .

麻豆原创 Business AI for IT and developers

Joule Studio code editor and Joule Studio CLI

Building on the transformative capabilities of Joule studio low-code, 麻豆原创 is expanding the Joule studio family with two powerful new offerings designed to meet developers exactly where they work: Joule Studio code editor, a Visual Studio Code IDE extension, and Joule Studio CLI, a versatile command-line interface. Together, these tools deliver a unified, AI-assisted development experience that spans the full spectrum of development personas and preferences on Joule.

• Joule Studio code editor brings the intelligence of Joule directly into Visual Studio Code, the world’s most popular development environment, empowering pro-code developers with AI-guided scaffolding, contextual code generation, intelligent recommendations, and seamless integration with Joule, all without leaving their preferred IDE. 
• Joule Studio CLI extends this same power to the terminal, enabling developers and DevOps teams to automate project creation, manage configurations, execute deployments, and orchestrate CI/CD workflows through scriptable, command-line commands鈥攊deal for headless environments, automation pipelines, and teams that value speed and precision at the command line.

Get started .

Joule with 麻豆原创 Datasphere
General availability

Data professionals working within 麻豆原创 Datasphere can now accomplish informational, navigational, and transactional tasks through natural conversation with Joule. Whether asking how to use specific functionalities, retrieving details about a 麻豆原创 Datasphere instance, or switching system settings like language preferences, users receive instant answers with direct references to product documentation. Joule can even execute tasks directly from the conversation without requiring interaction with the standard interface. This direct execution reduces reliance on internal IT support and enables faster, more intuitive navigation throughout the platform.

Get started .

麻豆原创 Document AI, enhancements

Document level confidence
Customers now set confidence ranges for fields in the Schemas feature. When customers edit field settings, they can define their own thresholds for low, medium, and high confidence. These custom settings are reflected in the extraction results displayed for the relevant fields on the document details screen. See and .

Expanded Transportation Management
Customers can now use the Transports feature to export and import channels and workflows. See .

New schemas: business partner + delivery note for WM
The service plans embedded edition and premium edition now also support the standard document type, business partner document. See the list of supported document types in . Get started with 麻豆原创 Document AI, and .

Generative AI Hub in AI Foundation, enhancements

Metadata
Customers can now manage metadata for documents, collections, and chunks created with the Vector API to enable advanced filtering and organization of their content. For more information, see .

Retrieval API
Customers can merge and rank search results across multiple data repositories using the Retrieval API’s post-processing capabilities. For more information, see .

Prompt optimizations
Custom metrics are supported in prompt optimizations, enabling customers to define and optimize prompts based on their specific evaluation criteria. Only LLM-as-a-judge metrics with numerical or Boolean output types can be used in optimization tasks.For more information, see and . Customers can provide separate test and train datasets for prompt optimization. For more information, see .

Prompt registry
The prompt registry now enables customers to create and manage orchestration configurations declaratively, allowing them to version and track complex AI workflows alongside their prompts for better governance and reproducibility.For more information, see .

Secrets
Customers can now enter generic secrets using a form instead of JSON. The form appears in the Add Generic Secret dialog when you activate document grounding. A dropdown menu lets them choose the type of document repository. Depending on their selection, the remaining fields adjust dynamically, allowing them to complete the data. Some fields are already prefilled.If they prefer working directly with JSON, switch to the code view by clicking the 顒� icon. For more information, see .

New models available
New models are supported, including OpenAI GPT 5.2, Gemini 3.0 Pro, Perplexity Deep Research, and Anthropic Claude Opus 4.6.For more information on new and deprecated models, .

麻豆原创 Joule for Developers, ABAP AI capabilities, enhancements

New ABAP AI capabilities mean developers can expect a 20% reduction in time and effort to write ABAP/JAVA code, 25% reduction in time and effort to test ABAP/JAVA code, and 4.4% faster time to realized value.

This quarter, developers can now easily generate ABAP Unit tests for:

• Public, protected, and private methods of global ABAP classes
• Public methods of local classes within global class pools

See .

In addition, the documentation chat allows developers to interact with documentation on the 麻豆原创 Help Portal, providing context-aware answers and links to relevant documentation. This capability enhances productivity by offering quick access to related documentation directly within the development environment. See .

Finally, developers can now get AI-powered explanations of their ATC findings and code in the Custom Code Analysis/Custom Code Migration app. See and .

Get started .

麻豆原创 Business AI for industries

Tender Analysis Agent
General availability

Sales teams can elevate their tender response process with the Tender Analysis Agent, which automates the review of complex RFQ documents. The agent extracts critical product requirements, flags potential risks and policy gaps, and suggests optimized configurations tailored to customer needs. By reducing the effort to process incoming tenders by five percent and improving win rates, organizations can achieve measurable revenue growth while accelerating sales cycles and uncovering valuable cross-sell and up-sell opportunities.

Get started .

麻豆原创 Commodity Management, AI-assisted commodity work center
General availability

Commodity traders can transform how they capture and manage complex deals using the commodity work center in 麻豆原创 Commodity Management. Working alongside Joule, the feature converts verbal or written negotiations into detailed draft deals, automatically populating the numerous fields that traditionally require extensive manual entry. This enables traders to redirect their focus toward negotiating better commercial outcomes, while improving data accuracy and driving greater operational efficiency across their trading activities.

Get started .

麻豆原创 Intelligent Clinical Supply Management, AI-assisted predictive subject dynamics
General availability

Clinical trial coordinators seeking to boost their supply planning capabilities will find a powerful ally in 麻豆原创 Intelligent Clinical Supply Management. The predictive subject dynamics feature analyzes historical and real-time data to forecast patient enrollment trends and dropout rates, automatically generating insights that would otherwise require extensive manual analysis. This enables supply chain teams to redirect their focus to strategic decision-making, while reducing clinical inventory waste costs by up to two percent and improving demand forecasting accuracy across their trial operations.

Get started .

Joule with 麻豆原创 Intelligent Clinical Supply Management
General availability

Clinical supply professionals juggling multiple tasks and complex systems need quick access to information without disrupting their workflow. Together with Joule, 麻豆原创 Intelligent Clinical Supply Management delivers an intuitive, conversational interface that understands natural-language requests, enabling users to retrieve critical data and navigate to relevant applications effortlessly. This streamlined experience results in an 83% reduction in time spent on information searches, freeing teams to concentrate on higher-value activities and significantly boosting overall productivity.

Get started .

麻豆原创 Self-Billing Cockpit, AI-assisted document processing
General availability

Billing clerks managing self-billing workflows frequently encounter invoices arriving in a mix of formats鈥擡xcel, PDF, CSV, or text files鈥攐ften unstructured and spanning multiple languages. 麻豆原创 Self-Billing Cockpit addresses this challenge by leveraging intelligent document processing to parse and extract invoice data from virtually any format, converting it into structured payloads ready for automated billing. The result is significantly reduced time spent processing invoice line items, fewer customer-specific interfaces for integration specialists to build and maintain, and improved extraction accuracy through minimized manual intervention.

Get started .

麻豆原创 Business AI for business transformation management

Joule with 麻豆原创 Signavio solutions
General availability

Process analysts and optimization specialists working across complex organizational workflows require rapid access to diagrams, documentation, and performance metrics. 麻豆原创 Signavio solutions integrate with Joule to enable natural-language keyword searches across process diagrams, dictionary items, and help resources. At the same time, best-practice KPI recommenders guide users to the most relevant success measures. This intuitive approach delivers 50% faster information searches and navigation, ensuring teams make data-driven decisions with improved search quality and an enhanced overall user experience.

Get started .

麻豆原创 Signavio solutions, AI-assisted business process model and notation simulation insights
General availability

Process analysts leveraging 麻豆原创 Signavio can now access embedded business process model and notation simulations directly within their process diagrams, eliminating the need for fragmented tools and manual interpretation. Key metrics such as costs, cycle times, and resource utilization are automatically translated into clear, actionable summaries that highlight bottlenecks and opportunities for improvement. This streamlined approach reduces time to access process modeling insights by 50%, empowering teams to compare scenarios effortlessly and communicate findings to stakeholders with greater confidence and clarity.

Get started .

麻豆原创 LeanIX solutions, AI-assisted architecture guidance
General availability

Enterprise architects seeking to accelerate transformation initiatives can leverage 麻豆原创 LeanIX to surface actionable insights directly from their architecture inventory. The feature analyzes enterprise architecture data to identify opportunities and guides users through the workflows and tasks needed to efficiently act on recommendations. Organizations benefit from a 95% reduction in time to discover insights, 80% faster transformation execution, and a five percent reduction in value erosion from delayed action. Overall, this feature drives greater architectural productivity and more agile decision-making.

Get started .

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.

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, .

Complementing 麻豆原创鈥檚 established logistics portfolio supporting large-scale supply chain operations, 麻豆原创 Logistics Management brings innovative capabilities specifically tuned to the needs of smaller operations seeking efficiency, real-time visibility, and faster decision-making.

鈥淟ogistics is undergoing a fundamental transformation. Those who invest in strategic warehousing and logistics networks are investing in a future defined by responsiveness and relevance. It鈥檚 about being ready, connected, and purposeful,鈥� says Till Dengel, 麻豆原创鈥檚 global head of Product Marketing for Logistics.

Designed for local impact, powered for global reach 

While 麻豆原创鈥檚 best-in-class  continue to serve complex global logistics with extensive capabilities, 麻豆原创 Logistics Management now bridges the gap for local and satellite operations needing powerful, streamlined tools and controls without the complexity of large enterprise systems. Not only can 麻豆原创 Logistics Management elevate the performance of localized operations, but it also enables a connected network of satellite operations that can stay coordinated with global enterprise systems.   

The  solution offers: 

• Connected fulfilment excellence: By uniting warehousing and transportation capabilities, 麻豆原创 Logistics Management helps streamline order fulfillment by managing pick-pack-ship workflows while efficiently planning and coordinating the freight movement. The solution includes built-in collaboration with carriers through 麻豆原创 Business Network, connecting shippers directly with logistics providers for real-time updates that can minimize costly delays and keep shipments on track.  
• Tailored for smaller operations: 麻豆原创 Logistics Management is ideal for local branches, subsidiaries, and seasonal operations. It helps eliminate unnecessary complexity, giving smaller operations the powerful tools and connectivity they need without the overhead of large enterprise systems. 
• Seamless integration: Designed to work seamlessly with , 麻豆原创 Logistics Management can eliminate hidden interface costs and helps ensure compatibility with 麻豆原创鈥檚 existing transportation and warehouse management tools. Businesses can benefit from a smooth, cohesive ecosystem. 
• AI-driven and human-centric: Embedded AI empowers faster, smarter decision-making and workflows. can enable users to interact via natural language, helping to make involved logistics questions easy to handle right from the start. The solution鈥檚 mobile-first design helps ensure users can ramp-up quickly and access essential functions anytime, anywhere, for efficient workflows on the go. 
• Scalable SaaS solution: As a SaaS-native solution, 麻豆原创 Logistics Management can be up and running in days. It can scale effortlessly as the business grows, offering built-in analytics and dashboards that help provide actionable insights tailored to operations鈥攕mall or large. 

鈥淰isibility grants insight, connectivity empowers control, and agility provides the decisive edge,鈥� Dengel says. 鈥淭he future of logistics belongs to those who digitize every process, orchestrate every tier, and deliver on every promise.鈥� 

麻豆原创 Logistics Management helps empower businesses to connect and manage logistics operations efficiently, regardless of size. Whether running small local operations or orchestrating global distribution, 麻豆原创鈥檚 latest AI-powered innovation can equip businesses with the tools and capabilities to thrive in highly competitive markets by enabling them to be connected, agile, and growth-oriented. Learn more about . 

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

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.

The past few years have taught us that disruption is the new normal. Whether it鈥檚 global conflicts, raw material shortages, or sudden demand spikes, supply chains need to pivot faster than ever. That鈥檚 why this year, the conversation isn鈥檛 about incremental improvements鈥攊t鈥檚 about reimagining processes with intelligent technologies that anticipate, adapt, and act autonomously.

From complexity to clarity: how agentic AI changes the game

Agentic AI is reshaping supply chains, and we鈥檙e already seeing real value in practice:

• Supplier onboarding in hours, not weeks: Companies can drive substantial efficiencies by collaborating more deeply with their suppliers, such as material or logistics providers. AI agents autonomously validate supplier credentials, check compliance, and integrate them into your network, cutting onboarding time by up to 50%.
• Predictive maintenance and service that prevents downtime: Instead of reacting to failures, AI agents monitor equipment health and trigger proactive service, reducing unplanned outages by 30%.
• Autonomous disruption handling: When short-term disruptions or opportunities arise to demand or supply levels, AI agents evaluate events and alerts, model scenarios, and drive action while keeping humans in the loop. If critical inventory needs to be shifted for example, agents place orders automatically, optimizing stock levels and reducing lead times by 25%.

These aren鈥檛 distant possibilities鈥攖hey鈥檙e real scenarios already piloted by 麻豆原创 Supply Chain customers. AI isn鈥檛 replacing people; its amplifying human decision-making, freeing teams to focus on strategy rather than firefighting.

Why this matters: analyst rankings tell the story

麻豆原创 solutions underpin strategies that earned recognition in major 2025 analyst reports, including:

• IDC MarketScape for Multi-Enterprise Supply Chain Commerce Networks*: 麻豆原创 was named a Leader for enabling real-time collaboration and orchestration across global ecosystems with 麻豆原创 Business Network.
• **: 麻豆原创 was positioned as a Leader for innovations like predictive maintenance and agentic AI through Joule.
• ***: 麻豆原创 was recognized as a Leader for integrating planning, manufacturing, and logistics with advanced analytics and AI.

These accolades aren鈥檛 just badges of honor. They validate the trust our customers and partners place in 麻豆原创 and the impact we deliver together. They also reinforce a critical truth: supply chain excellence is now a boardroom priority.

Sustainability: from obligation to advantage

Sustainability isn鈥檛 just a compliance checkbox; it鈥檚 a competitive edge. More than 25% of global emissions are already taxed or regulated by trading systems. Circularity and carbon accountability have become core KPIs for supply chain leaders because responsible practices deliver measurable benefits. Meeting environmental, social, and governance (ESG) standards lowers regulatory and reputational risk, while optimizing logistics for lower emissions often translates into fewer miles traveled and reduced fuel costs. At the same time, customers and investors increasingly favor brands with transparent sustainability metrics, making it a powerful differentiator in the market.

麻豆原创 solutions help companies measure emissions, enable ESG compliance, and embed sustainability data deep into operational decision-making for procurement, logistics, dispatching, and planning. This turns sustainability into a lever for growth rather than a reporting exercise. In fact, companies recognized in Gartner鈥檚 rankings often cite sustainability as a driver of resilience and profitability. When businesses can prove carbon accountability and circularity, they鈥檙e not just meeting regulations, they鈥檙e building trust and unlocking new market opportunities.

Looking ahead: our 2026 roadmaps

In 2026, our priorities center on enabling supply chains that are more intelligent, more connected, and more resilient. We are deepening our investment in agentic AI to support end-to-end value streams such as integrated business planning, sales and operations execution, digital manufacturing, and logistics execution. The goal is to bring AI directly into processes where decisions are made so planning becomes more predictive and execution becomes more automated. Over time, organizations will entirely redesign workflows and decision-making processes for the true step-change in agentic AI.

We are also advancing our capabilities in supply chain orchestration. As global supply chains operate increasingly across networks, companies need a coordinated layer that unifies planning, procurement, manufacturing, and logistics with partner ecosystems. This year, we will continue strengthening how our solutions identify risks in the n-tier network of complex supply chains by synchronizing data, prescribing decisions and actions across the enterprise and the broader network, and helping customers manage disruptions end鈥憈o鈥慹nd with greater speed and clarity.

Finally, we remain focused on data excellence. Reliable, harmonized data is essential for AI-driven decisions and for orchestrating the supply chain. In 2026, we are continuing to enhance master data consistency, improve network-wide data quality, and support AI鈥憆eady data models that help ensure our customers can trust and operationalize their insights at scale.

Together, these areas form the backbone of the innovations we are delivering this year, with a clear aim of helping customers move from reactive operations to intelligent, proactive orchestration. But technology alone isn鈥檛 enough. The real magic happens when we collaborate with our customers and our partners, turning complexity into opportunity.

The takeaway: 2026 is about action at scale

The supply chain landscape is evolving faster than ever. Agentic AI, sustainability, and intelligent automation aren鈥檛 optional, but essential. Companies that embrace these technologies to truly evolve how they operate and take even complex decisions will lead in resilience, efficiency, and responsibility. Those that hesitate risk falling behind in a world where adaptability is the ultimate competitive advantage.

Don鈥檛 wait for disruption to force your hand. Build the capabilities now that will carry you through uncertainty and position you for growth. Learn more about 麻豆原创鈥檚 AI-powered solutions .

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

*, November 2025, IDC #US53010225
**, December 2025, IDC ID # US52977525
***, October 2025, IDC ID# G00826212

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.

As the business expanded, so did the complexity of its operations and the expectations of its customers. The existing manufacturing development team, focused on small-scale factory applications, found it increasingly difficult to keep up with the pace. The data was often locked in silos or other systems. To address this, Howdens set out to automate and collect data from multiple points across its supply chain. 

Considering off-the-shelf solutions that could be tailored to its needs, Howdens Joinery needed a solution that would continue to evolve with the company. Through a detailed assessment of several manufacturing execution systems (MES), Howdens Joinery decided to replace all outdated manufacturing execution systems with the  solution, making it the heartbeat of its production processes with the help of a featured partner, . 

Reinventing kitchens with an innovative and customer-centric process 

The kitchen has evolved from a simple cooking space into the heart of the home. Knowing this, Howdens Joinery has adapted its offerings to meet the changing needs of its customers. 鈥淭he kitchen market has changed a lot over the years,鈥� says David Peacock, IS Manufacturing System technical lead at Howdens Joinery. 鈥淲e don鈥檛 sell a kitchen; we provide a living space, the central part of their homes.鈥� 

Howdens expanded its range beyond the standard kitchen colors and styles. This approach enables customers to experiment with various colors and styles before making a final decision. 鈥淚t鈥檚 almost like a trial run,鈥� Peacock explains. 鈥淲e can see if a new color is worth adding to our main range. If it鈥檚 popular, we can roll it out on a larger scale.鈥� 

This strategy not only helps customers find the perfect kitchen but also provides Howdens with valuable feedback on what works best. To support this expanded offering, the company invested in a new factory and upgraded paint lines. These improvements enhanced production capacity and equipped the team with new skills and expertise. 

Traditionally, the company made a stock model, but now customers can visit depots and order kitchens in any color and style they want. 鈥淲e have a fast turnaround, with manufacturing and shipping taking just five days,鈥� Peacock says. 鈥淭o make this possible, we updated our entire order strategy and implemented the new system in less than 12 months.鈥� 

By embracing innovation and listening to customer needs, Howdens Joinery has successfully transformed its business to stay ahead in a competitive market, making it easier than ever for customers to get the kitchen they truly want. 

鈥淗aving our own homegrown MES provided us a clear view of what needed to be produced on each production line,鈥� he says. 鈥淚n real time, operators could start or stop orders and receive confirmations. And we continued to add more features and functionalities to our MES.鈥�

Reducing order production lead time from 21 days to 14 days 

Howdens Joinery faced two major challenges as it transformed its approach to kitchen manufacturing. The company sells the individual pieces of a kitchen, such as cabinet doors or shelves, that are ordered separately.听

Highlighting that the company is聽sales order-driven, Peacock further adds,聽鈥淲hen you convert the sales orders into production orders, you get a sort of production order per piece. Tracking this is easier said than done.鈥� Each聽piece follows a specific route through the factory, depending on its shape and the machinery it needs to pass through. Since the company isn鈥檛 selling finished panels that are simply waiting on a shelf, tracking each part and keeping everything together was a great challenge.听

Another major hurdle was managing the concept of process lots. Because of the specific routing required for different components, orders often needed to be split and sent down two separate production routes. These production orders would then be grouped into SFCs (shop floor controls), but this sometimes made the process more complicated rather than simpler. 

鈥淲e are potentially in a one-for-one relationship with the production order, so the SFC number became a bit redundant,鈥澛燩eacock explains. The complexity increased when multiple orders were launched simultaneously.听He adds: 鈥淲e might be launching different production orders at a time, but we did not want in [麻豆原创 Digital Manufacturing] the guys on the shop floor to press start 40 times.鈥澛燭his led the company to create a mechanism for efficiently grouping orders, allowing, for example, all orders of a certain color to be processed together on the same production line.听

鈥淲hen you purchase [麻豆原创 Digital Manufacturing], you鈥檙e not just buying manufacturing, but you’re buying the ability to build a manufacturing landscape. So you can do your own customizations,鈥� he adds. 

With 麻豆原创 Digital Manufacturing, Howdens Joinery enhanced operational efficiency and achieved a supporting mechanism to support both make-to-stock and make-to-order production models. 

Continuous improvement as a key driver for the future of manufacturing 

Howdens Joinery is leveraging diverse technologies in production systems. Particularly as a company expanding its manufacturing capabilities, this requires the integration of IT and operational technology, as well as seamless communication with machinery and the automation of production workflows鈥攕uch as custom 麻豆原创 Business Technology Platform (麻豆原创 BTP) processes and production connectors.听聽

With this integration, Howdens Joinery achieved direct communication with various types of machinery, thereby enhancing production efficiency and reducing the need for manual intervention. 

鈥淲ith 麻豆原创 Digital Manufacturing, we gained operational excellence in our supply chain processes, leading to more efficient planning and an enormous increase in production. We reduced order production lead time from 21 days to 14 days in 2023 to 2024, contributing to faster customer fulfillment,” Peacock says.

Moreover, Howdens achieved a 99.98% service level from primary sites to depots in 2024, demonstrating near-perfect product availability. “We will continue this journey of continuous improvement to deliver the best products for our customers,鈥� he says. 

The innovative manufacturer plans to replace its legacy MES systems with a fully digital manufacturing solution, ensuring streamlined and efficient operations. With robust data quality and a flexible approach to integrating new technologies, Howdens Joinery is planning to integrate AI into its manufacturing processes as the next step. Its proactive approach to utilizing new technology for operational excellence is a great industry example for the broader manufacturing community.  

To learn more about Howdens Joinery’s transformation story, check out the full customer story .听

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

Headquartered in Homberg (Ohm), Germany, with worldwide locations, in 2024 KAMAX generated 鈧�1 billion in revenue and employs 4,000 people dedicated to serving OEMs globally.

To maintain its competitive edge, the ambitious company embarked on a transformative journey to streamline its supply chain through digitalization and intelligent logistics management. This transformation centers around the deployment of (麻豆原创 EWM),  (麻豆原创 TM), and a comprehensive 麻豆原创 S/4HANA platform, supporting superior logistics efficiency, transparency, and sustainability.

Optimizing logistics at scale

Handling approximately 400 transports daily across multiple global plants, KAMAX manages two distinct logistics flows: goods pre-packed and stored in warehouses, and a “pack-to-order” system where items are packaged just before shipment. Currently, three plants operate on 麻豆原创 S/4HANA with 麻豆原创 Extended Warehouse Management and one pilot plant with 麻豆原创 Transportation Management integrated, while others are transitioning from 麻豆原创 ERP Central Component (麻豆原创 ECC).

The implementation of the advanced shipping and receiving process dramatically improved logistics transparency and efficiency.

“The use of the unified package builder, which leverages real data instead of estimates, allows us to provide precise shipping information to freight forwarders earlier in the process,” Jens Hoidem, director of IT Business Solutions at KAMAX, explained. This improvement enhances truck planning and communication with carriers, positively impacting the company’s logistics operations daily.

KAMAX collaborates exclusively with freight forwarders, working with approximately 20 carriers globally. At the advanced shipping and receiving pilot plant, about 60 deliveries per day are coordinated, involving around 2,000 handling units across five to six trucks. This network supports operational responsiveness without compromising control.

On premise today, cloud-ready tomorrow

Currently, three of KAMAX鈥檚 plants run on 麻豆原创 S/4HANA, with the remaining plants on 麻豆原创 ECC, all on an on-premises basis designed to be cloud-ready for future transitions.

Hoidem pinpointed the critical process improvements brought by advanced shipping and receiving in combination with 麻豆原创 Extended Warehouse Management and 麻豆原创 Transportation Management: 鈥淭he shipping registration now uses the unified package builder, relying on accurate, real data rather than estimated figures. This has substantially improved truck planning and early communication with our freight forwarders, impacting around 60 deliveries and about 2,000 handling units daily at our pilot plant.鈥�

Over 95 percent of KAMAX’s transport is by truck. “We maintain a global footprint close to our OEM customers to optimize delivery times and costs,鈥� Hoidem added. 鈥淲e currently engage about 70 to 80 different freight forwarders worldwide, facilitating diverse and dynamic transport needs.鈥�

Sustainability and process automation

KAMAX has a bold strategy for sustainability and aims for carbon neutrality by 2037. Implementation of 麻豆原创 Extended Warehouse Management and 麻豆原创 Transportation Management plays a crucial role in supporting KAMAX’s goal by enabling better route planning, efficient truck utilization, and minimizing empty runs.

鈥淩educing CO2 emissions through smarter transport management is a key project outcome,鈥� Hoidem added.

The German company is also actively advancing in automation. In China, KAMAX has piloted RFID technology integrated with automated guided vehicles (AGVs) to automate intra-logistics, reducing manual labor and enhancing productivity.

the company’s digital subsidiary, has developed an Operator Cockpit linked with 麻豆原创 Extended Warehouse Management for real-time monitoring and automated production order management. Using laser technology, KAMAX automated piece counting, saving about 40 labour hours in May at their Slovakian plant across 1,200 containers.

KAMAX plans to roll out 麻豆原创 Extended Warehouse Management, 麻豆原创 Transportation Management, and advanced shipping and receiving across all seven plants, progressively improving automation and digitalization of intralogistics processes. 鈥淲e aim to integrate AI for advanced receiving and transportation management, continuing to optimize costs and capacity,鈥� Hoidem shared.

Curious about how KAMAX鈥檚 journey to streamline and future-proof its supply chain? .

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.

With the proliferation of software review platforms, customers now have the power to influence purchasing decisions by sharing their authentic experiences. Recent trends show that businesses that are prioritizing customer satisfaction are not only thriving, but also setting new industry standards.

(麻豆原创 IBP) has emerged as the clear leader in supply chain planning among customers. This recognition is consistently reflected across major software review platforms: , , and . The overwhelming support underscores the leadership of 麻豆原创 IBP and validates 麻豆原创鈥檚 commitment to delivering exceptional value to our customers.

Recent success at the 麻豆原创 Connect event in Las Vegas, where we introduced supply chain planning reimagined, has catapulted 麻豆原创 IBP to the forefront of the industry. It now leads in customer satisfaction across all major review platforms.*

Key insights and expert perspective

Gartner Peer Insights: Industry-Leading Performance

• 麻豆原创 IBP current rating: 4.8/5.0 (based on 51 reviews in the past 12 months)
• Market position: No. 1 rated in category

Our 4.8 rating on , a highly influential enterprise software review platform, reflects exceptional customer satisfaction and implementation success. This combination provides unmatched credibility in competitive situations and clear validation of the leadership position of 麻豆原创 IBP.

TrustRadius: Trusted and Top Rated

• 麻豆原创 IBP current rating: 8.4/10 (107 reviews)
• Recognition: 2026 Buyer鈥檚 Choice Award (announcement pending)
• Market position: Highest-rated in category

Winning the TrustRadius Buyer’s Choice Award for 2026 validates our customer-centric approach and reinforces our market leadership. The substantial base of 107 reviews provides statistical credibility and demonstrates a clear differentiation in customer experience.

G2: Recognized Leader

• 麻豆原创 IBP current rating:聽4.3/5.0 (251 reviews)
• Category status: Leader designation
• Market position:聽Highest-rated among major competitors

Being recognized as a Leader in G2’s Demand Planning Grid reflects the position of as a top-three solution in the Demand Planning category, backed by 251 customer reviews. This volume of authentic customer feedback is particularly valuable for prospects conducting due diligence.

These achievements are a testament to our dedication to excellence and customer satisfaction. We are deeply grateful for the trust and support of our customers. As we move forward, we remain committed to innovating and delivering industry-leading solutions that meet and exceed customer expectations. Stay tuned for more exciting developments and advances in supply chain planning as we continue to redefine the market together.

*Review data as of November 5, 2025

Few industries feel this dual pressure more than American candy makers, particularly during this year鈥檚 Halloween season — their single most important sales moment of the year.

Unfortunately, this year the spookiest season proved to be a particularly tricky one. According to , candy prices rose by 17% from 2024 to 2025. Price increases pose a threat to legacy brands, as 26% of American consumers say they can no longer afford brand loyalty, according to the .

For confectionery manufacturers that have long relied on emotional connection and nostalgia to sustain sales, this Halloween season created pressures on the front- and back-end, leading to what鈥檚 effectively called the 鈥淐PG squeeze.鈥�

Yet, there鈥檚 still room for optimism. The bottom line is that consumer demand hasn鈥檛 disappeared; it鈥檚 simply evolving. While this Halloween season presented a scare, candy makers can prepare for upcoming moments like the holiday season and Valentine鈥檚 Day by integrating financial, commercial, and supply chain planning as well as by connecting sourcing, production, logistics, marketing, and retail.

Supplier side reality

Behind the fun-size bars and Halloween packaging, U.S. candy makers grappled with operational headwinds this year. Volatile trade policy made ingredient and packaging costs unpredictable, while global disruptions reverberated through supply chains.

In anticipation, manufacturers stockpiled inventory and restructured supplier networks, tying up working capital and putting additional stress on already thin margins. The loss of supplier stability has also become a defining feature of today鈥檚 CPG landscape: 70% of companies report switching suppliers primarily due to cost considerations, and fewer than one in four (22%) have maintained supplier relationships longer than five years, according to .

For candy makers dependent on commodities like sugar, cocoa, and dairy, these disruptions hit particularly hard. Add that to the growing costs of packaging, transportation, and marketing, and even iconic brands found themselves squeezed from all sides.

Cautious consumers and the erosion of loyalty

On the consumer front, the loyalty that once defined relationships with classic candy brands began to show signs of strain. That鈥檚 bad news for staple brands that have long relied on customers who instinctively reach for the same branded candy every Halloween.

At the same time, social media has amplified product discovery. Trends can shift overnight, and a viral post about a new flavor or an unexpected candy collaboration can sway younger buyers instantly. For established brands, loyalty must now be earned continuously.

Halloween was one example of this shift, but we鈥檙e going to see families purchase fewer products or mix traditional favorites with lower-priced alternatives in the future as Americans continue to tighten their budgets. Meanwhile, retailers will face uncertain demand and fluctuating supplier costs, leading to a greater risk of stockouts. These trends highlight why CPG companies need smarter, more connected planning to stay ahead of shifting consumer behavior.

Stopping the squeeze with end-to-end connected planning

The effect of the CPG squeeze during this Halloween season offers candy makers valuable lessons before future moments of peak demand. Companies that continue to operate with fragmented data risk missing critical insights, whether it鈥檚 an emerging cost spike, a change in trade policy or a social trend that could make or break sales.

That鈥檚 why CPG companies must embrace end-to-end business planning, a holistic approach that aims to enable agility, transparency and collaboration across every stage of the value chain, through the following methods:

1. Integrated supply and demand planning

Using AI-driven analytics and real-time data, companies can more accurately balance supply and demand, ensuring they produce the right amount of product at the right time. For candy makers, that means having adjusted holiday production runs in response to early season buying trends or ingredient cost shifts.

This model helps connect supplier, logistics, and retail data streams, allowing teams to react instantly to cost spikes or sales slowdowns — helping CPGs improve forecast accuracy for tomorrow鈥檚 disruptions today.

2. Collaborative commercial and promotions planning

Integrating sales, marketing and trade promotion data with supply and finance planning helps maximize promotional ROI. that 68% of CPG companies are simplifying or otherwise improving their organizational structure to improve coordination between teams, leading to fewer out-of-stocks and stronger seasonal performance.

To make these efforts more effective, companies must turn to revenue growth management as a strategic link between planning and execution. By connecting ROI, volume, and profit and loss data, ensures promotions are timed and tailored to shopper needs. This approach supports customer retention, attracts new buyers, and helps maintain healthy margins.

The coordination of holiday campaigns, shelf placements, and promotional pricing with a unified view of inventory and demand is crucial. Rather than running separate marketing and logistics calendars, teams must collaborate around a single version of truth,聽ensuring the product featured in a viral ad is available on shelves.

3. Financial planning and scenario modeling

End-to-end planning also allows companies to simulate 鈥渨hat-if鈥� scenarios by modeling policy changes, supply shortages, or demand surges to test resilience. For example, a candy maker facing a 10% increase in imported cocoa costs can immediately assess how to reallocate budgets through promotional adjustments, sourcing alternatives, or margin management.

With real-time connectivity across teams, financial forecasts can automatically update as assumptions shift, empowering decision-makers to pivot fast.

Turning pressure into opportunity

The 鈥淐PG squeeze鈥� wasn鈥檛 just a momentary market condition; it鈥檚 a structural shift that will reshape how candy makers and other CPG brands operate for years to come.

Halloween this year delivered more tricks than treats for American candy makers. Rising costs, shifting loyalties and supply challenges exposed the fragility of traditional planning models. To weather the holidays ahead, all CPGs must embrace integrated planning models that connect every part of the value chain.

With greater visibility and agility to anticipate change and respond to consumer demand, CPG brands can make every holiday a little sweeter.

Jon Dano is an industry executive advisor for Consumer Products at 麻豆原创.

The IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of technology and suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each supplier鈥檚 position within a given market. The Capabilities score measures supplier product, go-to-market and business execution in the short-term. The Strategy score measures alignment of supplier strategies with customer requirements in a three to five year timeframe. Supplier market share is represented by the size of the icons.

According to the IDC MarketScape, 鈥淎I-enabled tools are revolutionizing field service management, transforming reactive operations into predictive excellence.鈥�

麻豆原创 was recognized for the following strengths:

• End-to-end field service management offering as part of the full enterprise suite: 麻豆原创 Field Service Management is a fully integrated component of the 麻豆原创 Business Suite, enabling end-to-end business process execution across planning, logistics, operations, finance, and customer service. It connects seamlessly with core 麻豆原创 solutions such as 麻豆原创 S/4HANA, customer experience, asset management, and supply chain management, ensuring that service delivery is fully aligned with enterprise-wide processes. This deep integration eliminates silos, enables real-time collaboration across departments, and supports consistent, efficient service execution across the entire value chain.
• AI innovations and generative AI capabilities: 麻豆原创 Field Service Management is infused with AI and generative AI to simplify and accelerate service delivery. 麻豆原创 is able to support generative summaries of equipment history, work orders, and past service activities. 麻豆原创 has established an embedded AI copilot for field service that enables users to execute commands, automate actions, and retrieve context-aware insights using conversational language with the benefit of boosting productivity and responsiveness across the service life cycle. 麻豆原创 also has a robust auto-scheduling engine designed for complex, high-volume service operations.

Commitment to continuous innovation

Field service organizations face growing complexity, workforce shortages, and rising customer expectations that demand smarter, faster, and more connected service delivery. 麻豆原创 continues to lead the market by integrating AI-driven insights, intelligent automation, and end-to-end connectivity across its portfolio.

麻豆原创 remains focused on enabling customers to:

• Boost technician and dispatcher productivity
• Drive customer-centric and revenue enabling operations
• Reduce operational costs and accelerate complex workflows via intelligent automation and AI
• Provide a connected and extensible platform for field service

麻豆原创 is proud to be recognized by the IDC MarketScape as a Leader in AI-enabled field service management. We remain committed to helping our customers run their service operations smarter, safer, and faster 鈥� combining data, applications, and AI to deliver measurable business outcomes and exceptional customer experiences.

Click the button below to load the content from YouTube.

Always allow YouTube

Download a complimentary excerpt of the .

Ryan Jones is product marketing manager for Operate and Service at 麻豆原创.

*Doc #US52967825e, September 2025

Click the button below to load the content from YouTube.

Always allow YouTube

See how 麻豆原创 Logistics Management helps companies run smarter, faster, and more connected logistics operations.

Discover 麻豆原创 Logistics Management鈥斅槎乖粹�檚 new, cloud-native solution designed to orchestrate and optimize logistics operations across the entire supply chain. In this video, you鈥檒l see how one customer uses 麻豆原创 Logistics Management to transform a small warehouse into a smart, connected logistics hub. With built-in AI, automation, and real-time insights, the customer has achieved seamless coordination between people, systems, and assets鈥攊ncreasing productivity, accuracy, and responsiveness. 麻豆原创 Logistics Management brings together order orchestration, transportation, and warehouse management into one intelligent platform. From inbound to outbound, the solution provides end-to-end visibility and real-time decision-making, helping organizations scale efficiently and respond dynamically to change. Launched on October 7, 麻豆原创 Logistics Management empowers businesses to:

• Orchestrate operations across multiple logistics functions with AI-driven insights.
• Automate manual workflows to help improve speed, accuracy, and resource utilization.
• Gain real-time visibility into performance, inventory, and delivery execution.
• Accelerate digital transformation with a cloud-native, scalable foundation on 麻豆原创 Business Technology Platform (麻豆原创 BTP).

Whether managing a local warehouse or a global network, 麻豆原创 Logistics Management can enable organizations to move from reactive logistics to proactive orchestration, turning complexity into competitive advantage.

Learn more about 麻豆原创 Logistics Management and how it can help you run logistics operations smarter and faster:

Through their innovative implementation of Soley’s Product Mining Platform with 麻豆原创’s supply chain management technologies, they prove that sustainability and profitability can go hand in hand.

The challenge: managing complex product portfolios at scale

CERATIZIT Group, a leading provider of hard material solutions for machining and wear protection, faced a challenge common to many modern manufacturing companies: managing a complex product portfolio with over 65,000 products. The company’s Cutting Tool Solutions division needed a solution to balance economic and ecological objectives while maintaining competitive advantage.

Klaus Lupfer, product lifecycle manager at CERATIZIT Deutschland GmbH, explains the company’s motivation: “In addition to the economic perspective on the product portfolio, the ecological aspect was equally important when partnering with Soley. As a company committed to sustainability for years, we are especially excited about the opportunities that the expansion of product carbon footprint data offers.”

The challenge was not just the product portfolio’s size but also the lack of transparency regarding product performance and sustainability metrics. Employees spent considerable time compiling reports rather than making strategic decisions, while limited insights into critical materials and suppliers prevented efficient phaseout of high-emission products.

AI-powered product portfolio analysis

Munich-based Soley GmbH, a past participant in the 麻豆原创.iO program, 麻豆原创鈥檚 former startup accelerator designed to foster and integrate innovative solutions into the 麻豆原创 ecosystem, developed an innovative response to this challenge. The Soley Product Mining Platform, available as part of 麻豆原创’s extension and add-on solutions, transforms complex product data into actionable insights through three core, AI-driven innovations that enable faster, smarter, and more impactful business decisions.

• AI Advisor uses AI to recommend precise actions鈥攆or example, suggesting which products should be phased out to minimize carbon footprint without sacrificing margins.
• AI Assistant provides an intuitive, natural-language interface that allows users to effortlessly interact with Soley, without requiring deep technical expertise.
• AI Detective analyzes data to uncover hidden dependencies and reveal strategic opportunities, such as identifying which configuration options should be eliminated to optimize both profitability and sustainability.

The Soley Product Mining Platform draws data from 麻豆原创 S/4HANA and 麻豆原创 Business Warehouse, utilizing 麻豆原创 Business Technology Platform (麻豆原创 BTP) as the service layer. 麻豆原创 Datasphere helps consolidate 麻豆原创 data and analytics, while 麻豆原创 Analytics Cloud provides the analytics that form the core of the AI model. This technical architecture enables intelligent data extraction and transformation through 麻豆原创 Databricks, while massive graph analytics enable complex dependency analysis.

“With these 麻豆原创 solutions, we’re delivering a true game changer for the sustainability of the high tech and manufacturing industries,” says Ephraim Triemer, shareholder and advisor of Enterprise Accounts at Soley. “For the first time, our customers can go beyond ESG reporting and take real action鈥攄riving sustainability while staying laser focused on profitability.”

Seamless 麻豆原创 integration creates value

By combining CERATIZIT’s Product Carbon Footprint (PCF) data with financial metrics, the Soley Product Mining Platform creates a digital twin that uncovers opportunities, identifies risks, and analyzes product hierarchies, bills of materials, and carbon footprints. With AI-driven intelligence guidance, Soley developers ensure the platform’s capabilities enable decisions and outcomes that improve both profitability and environmental stewardship.

Earlier this year, Dominik Metzger was appointed as president and Chief Product Officer of 麻豆原创 Supply Chain Management, bringing a renewed focus on resilience, sustainability, and intelligent automation.

鈥淢y chief priority is to ensure that we help customers not only respond to disruptions but also proactively prepare and act,鈥� Metzger said. 鈥淲e 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鈥攃onnected, contextualized, and collaborative.鈥�

麻豆原创 SCM leadership driving transformation

The analysis delivered impressive, measurable results that demonstrate the power of combining AI-driven analytics with 麻豆原创 technologies. CERATIZIT discovered an 87% implementation rate of suggested measures, driving product sustainability and supply chain optimization. Simultaneously, the company identified a reduction of over 30% in end-of-life “ballast” products with negative carbon footprints while creating 100% transparency in sustainability data across all elements, product sets, and aggregation levels.

Alexander Springer, CEO of Soley GmbH, explains the strategic significance: “If you know which products are the most critical to the overall success of your business, you can focus on safeguarding the value chain for those products, taking proactive steps to avoid any potential supply risks.”

A model for sustainable digital transformation

The successful partnership between CERATIZIT, Soley, and 麻豆原创 demonstrates how modern companies can achieve both economic and ecological goals through intelligent use of data and AI. The combination of proven 麻豆原创 technologies and innovative analytics solutions creates measurable value for companies of all sizes. For other 麻豆原创 customers and partners, this example shows that sustainability and profitability need not be opposing forces鈥攚ith the right technologies and partners, both objectives can be achieved simultaneously.

Learn more about the latest updates to 麻豆原创 supply chain management. The Soley Product Mining Platform is available on .

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.

New research shows how business AI delivers ROI

To better understand the opportunity to produce returns on investment from AI, 麻豆原创 commissioned that was shared at 麻豆原创 Connect. In partnership with Oxford Economics, we surveyed 1,600 executives in medium and large enterprises across eight countries.

We found that today, on average, organizations are benefiting from a 16 percent return on AI investments鈥攁 number they expect to nearly double within two years. In addition to impressive financial returns:

• 94% of business leaders say AI is improving innovation within their organizations
• 87% say AI is improving customer engagement
• 78% believe AI agents have the potential to transform their business operations

New deep research and AI assistants in Joule expand what is possible

These innovations were engineered based on what our customers tell us they need: to act quickly, simplify complexity, and unlock better, data-driven decisions across the lines of business and processes that matter. But most of all, our customers need AI that drives significant, measurable business outcomes.

To help every organization accelerate returns on investment from AI, at 麻豆原创 Connect we announced powerful new capabilities for , which makes business data and the entire 麻豆原创 Business Suite immediately accessible through the power of a simple conversation. And because Joule is grounded in your company鈥檚 data, it understands context and delivers insights that are specific, actionable, and relevant to your business.

Deep research in Joule, announced at 麻豆原创 Connect, is a new capability expands what people can do within the Joule interface. It goes beyond quick answers to deliver strategic analysis, reporting, and synthesis in a single, connected experience. It brings together internal 麻豆原创 data and external intelligence so people can ask complex questions and receive comprehensive research and recommendations鈥攚ithout ever leaving Joule. The deep research capability in Joule will be available in beta this December.

We also unveiled the new concept of role-based AI assistants in Joule, built to partner with people in their specific roles. These assistants connect to the right Joule Agents for the job, removing guesswork so teams can unlock new levels of productivity and insight. Whether it鈥檚 a finance leader forecasting working capital, a recruiter evaluating headcount needs, or a planner adjusting inventory, AI assistants surface the right intelligence, at the right time, in the right context. In the background, Joule Agents get work done for you.

These innovations mark the next chapter in how people interact with enterprise systems, helping every role across an organization seamlessly move from inquiry to insight to action.

New Joule Agents autonomously get work done

To help enterprises further accelerate business results, we introduced 14 new Joule Agents at 麻豆原创 Connect. They help people coordinate, decide, and execute tasks with greater precision. Joule Agents are in finance, HR, procurement, and supply chain, in a way that only 麻豆原创鈥攚ith our deep expertise in these functions鈥攃an deliver.

For example, rather than navigating multiple systems or running countless manual checks to release an order, a production manager鈥攁 key role in the supply chain function鈥攚ill be able to turn to our Production Planning and Operations Agent, planned for general availability in the Q1 2026. They can simply ask Joule to do it, safely and in real time. The agent will validate and release orders when conditions are met, accelerating production start times and shortening order-to-delivery cycles.

And starting December 2025, with the general availability of , now in beta release, customers will be able to create and deploy custom Joule skills and Joule Agents tailored to their unique business needs. Agent builder in Joule Studio is your command center for designing, building, and deploying enterprise-ready custom Joule Agents using the same powerful 麻豆原创 technologies鈥攊ncluding 麻豆原创 Knowledge Graph for deep business context, 麻豆原创 Business Data Cloud for comprehensive data access across 麻豆原创 and non-麻豆原创 sources, and 麻豆原创’s central identity and authorization services to ensure responsible agent behavior. These capabilities empower every enterprise to extend, customize, and personalize 麻豆原创 Business AI solutions.

New embedded intelligence across 麻豆原创 applications

To help our customers move faster and make better decisions where work happens, we continue to bring intelligence directly into the applications they rely on every day. These embedded capabilities extend the same AI-driven guidance that powers Joule Agents into core 麻豆原创 solutions, enhancing user workflows with context, clarity, and automation. We will have more than 400 of these AI use cases by the end of the year.

For example, in , starting in February 2026, AI will orchestrate personalized interactions across HR, marketing, and service, bringing harmonized data, relevant context, and better business outcomes into every engagement. In the solution, planned for general release in the first half of 2026, AI will predict shortfalls and fulfillment risks, helping planners simulate and respond with speed and precision.

Additionally, the rebuilt 麻豆原创 Ariba source-to-pay suite, arriving in February 2026, brings a modern, cloud-native experience to every stage of procurement. Embedded AI guides people with intelligent recommendations, accelerates contract reviews, and surfaces supplier insights in real time. By simplifying sourcing decisions and improving compliance, it helps procurement teams strengthen supplier relationships and capture more value, faster.

Governing AI with visibility and control

As our customers continue to adopt these AI innovations embedded across their functions, we know they need transparency into how it operates, what it influences, and the value it creates. That is why we provide tools to give them the visibility they need to deploy AI with confidence and scale it responsibly.

麻豆原创 LeanIX AI Agent Hub helps CIOs and business leaders see their entire AI agents landscape at a glance. From one dashboard, they can understand where agents are deployed, what processes they touch, and how agents are performing. This allows teams to evaluate effectiveness, identify redundancies, and manage AI like any other enterprise asset: aligned to outcomes, governed by policy, and continuously optimized.

Complementing that, agent mining in gives organizations a powerful way to analyze how AI contributes to process performance. It reveals how AI agents decide and act, flags bottlenecks and non-compliance, and uncovers where automation adds value and how to fine-tune it for efficiency and impact. Together, these tools bring clarity to what has often been a black box: transforming governance from reactive oversight into proactive optimization.

What鈥檚 next for business AI

At 麻豆原创 Connect, we also shared a view into what鈥檚 coming and how our innovations will continue to redefine enterprise productivity. For example, we鈥檙e developing an outcome-driven user interface that adapts to context in real time. Instead of navigating menus or searching for data, people will simply express what they want to achieve, and the system will guide them through the right actions, insights, and tools.

We鈥檙e also extending Joule Agents beyond software into the physical world鈥攃onnecting your company’s business intelligence to robotics and industrial systems. This opens a new frontier for automation, combining state of the art electronics that utilize physical AI tools, such as computer vision and collision detection, with AI agents capable of reasoning through complex goals and planning multi-step workflows. this November to learn more.

Ready to start your AI journey?

We know AI is top of mind for most business leaders today. In fact, another finding from the research we commissioned with Oxford Economics is that 41 percent of tasks in global businesses will be supported by AI within two years鈥攗p from 25 percent today.

As you continue to explore what is possible with business AI, we鈥檒l keep innovating to deliver systems that are intelligent by design, trusted in operation, and, most important, measurable in their impact.

For us, it鈥檚 all about what you hope to achieve. We鈥檙e proud to partner with you on your AI journey. If you鈥檙e ready to take the next step, here are three things you can do right now:

• Learn how to bring the potential of AI into your organization by signing up for our .
• In our , get inspired about what鈥檚 possible by exploring how leading companies are transforming with AI.
• Watch 麻豆原创 Connect virtual sessions, , to see our latest innovations in action.

There鈥檚 more to come. Join us at on November 4 for the next wave of AI innovations that will transform the enterprise.

Brenda Bown is chief marketing officer for 麻豆原创 Business AI.

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� 

Click the button below to load the content from YouTube.

Always allow YouTube

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.

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.听

“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�.

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels.

For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

For more information, press only:
Joellen Perry, +1 (626) 265-0370, joellen.perry@sap.com, PT
Marcus Winkler, +49 6227 7-67497, marcus.winkler@sap.com, CEST
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see  for additional trademark information and notices.
Please consider our . If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact press@sap.com and write Unsubscribe in the subject line.鈥�

By using AI and advanced analytics, BRF managed to improve forecast accuracy, optimized inventory, and fine-tuned planning. Collaborative forecasting and real-time data alignment now increase operational efficiency, enabling BRF to manage its extensive operations in over 127 countries and adapt quickly to changes in these markets. 

Project outcomes that scale

With 44 production units, 103 distribution centers delivering more than 500,000 deliveries per month to more than 415,000 customers, representing 5 million tons of food produced per year, the scale of the achieved improvements is immense.

鈥淏RF is transforming efficiency and productivity standards in the production chain, developing solutions that make processes more agile, simple, and efficient,鈥� said Gilberto Andretta, executive technology manager at BRF. 鈥淲e are one of the leading 麻豆原创 IBP organizations achieving daily demand planning and sensing, statistical modeling, forecast accuracy and embedded analytics, time-series analysis, and exception management, which is integral for our more than 400 planners.鈥�

By using 麻豆原创 IBP, the process of accurately accessing and analyzing demand and forecast data is 33 percent faster.

Award-winning solution

For BRF, seeking innovative solutions is essential to advancing digital transformation and driving growth. The company considers the use of AI as fundamental to overcoming supply chain management challenges.

鈥淭he transformation of BRF’s supply chain through 麻豆原创 solutions has made it easier to integrate processes, predict future trends, and respond quickly to market needs,鈥� said Miriam Hahn, customer success manager for 麻豆原创 Brazil, who is working with BRF on its supply chain journey. 鈥淭his journey highlights the strong partnership between 麻豆原创 and BRF.鈥�

Using 麻豆原创 Integrated Business Planning for Supply Chain, BRF can now analyze vast data sets, improve forecast accuracy, monitor order trends, and enable proactive decision-making.

Ensuring that forecasts and delivery deadlines are accurate requires detailed and flexible planning, enabling a quick response to changes, increasing operational efficiency and accuracy. Additionally, consolidating real-time information, aligning financial and operational planning, and improving interdepartmental collaboration are fundamental steps for BRF鈥檚 operation.

Use of artificial intelligence

BRF is a recognized early adopter of 麻豆原创 Business AI and 麻豆原创鈥檚 AI copilot Joule. By integrating AI-driven insights, the food giant can accurately forecast demand, optimize inventory levels, and ensure timely delivery of products. This advanced technology helps BRF anticipate market trends, adjust production schedules, and reduce waste — ultimately leading to improved efficiency and customer satisfaction.

Within 麻豆原创 IBP, BRF is utilizing demand planning and sensing, statistical modeling, forecast accuracy and embedded analytics, time-series analysis, and exception management. Examples where AI is improving the business include:

• AI algorithms combine traditional time-series forecasting, regression and predictive modeling, and machine learning to produce more precise daily forecasts.
• Used for master data analytics, AI intelligence improves data quality, enhances the planning processes, and supports better decision-making.

More to come

BRF is among the first customers to successfully incorporate 麻豆原创 IBP with Joule to leverage the 麻豆原创 Help Portal and a chatbot to assist BRF employees.

Currently, BRF is deploying a “brownfield” 麻豆原创 S/4HANA Cloud implementation upgrade of the existing 麻豆原创 ECC system based on its successful established 麻豆原创 environment. The company is in the process of incorporating 麻豆原创 S/4HANA Cloud features and capabilities, while retaining much of the existing infrastructure and core data services. In addition to 麻豆原创 S/4HANA and the cloud-based 麻豆原创 Ariba solution for procurement, BRF is also running 麻豆原创 SuccessFactors software for human capital management (HCM).

鈥淏RF is an early adopter for many of 麻豆原创鈥檚 AI services and our strategic partner in the region,鈥� said Caio Granzotto, account director for BRF at 麻豆原创 Brazil. 鈥淎s a next step, they plan to use 麻豆原创 IBP鈥檚 AI assistant to improve supply chain processes and simplify the work of their planners. The company is also considering order-based planning using additional AI algorithms.鈥�

Top image courtesy of BRF

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.

With current operations spanning more than 100 countries, a workforce of 80,000, and $36B in revenue in 2024, SLB is a globally recognized leader with a focus on three pillars: traditional oil and gas activities; digital, where the company aims to deliver data-driven solutions at scale for the energy industry; and its new energy division, which is diversifying its portfolio for the needs of tomorrow.听聽

However, when it came to its , like many global enterprises, SLB faced challenges stemming from siloed planning processes.

Richard Bancel, global director of S&OP at SLB, recalled that there was a heavy reliance on Excel spreadsheets and that 鈥渁 lot of these planning cycles were actually not really cycles, not orchestrated, and kind of happening on an ad hoc basis.” This lack of integration hindered scenario planning capabilities and disconnected planning efforts from executive decision-making.

Agnes Gaultier, global S&OP digitalization manager at SLB, further touched on this fragmentation, noting that among its core division the company had “13 business lines that operate almost like separate companies with their own processes, dataset, everything.鈥�

Aside from an overreliance on Excel sheets and uncoordinated planning cycles, this聽fragmentation also led to inefficient resource allocation, excessive inventory, and inaccurate forecasting, with accuracy rates around 50 percent 鈥� ultimately impacting the company’s bottom line.

To address these challenges, SLB implemented 麻豆原创 Integrated Business Planning (麻豆原创 IBP).

Reaping the rewards: tangible business value

The impact of SLB’s 麻豆原创-powered planning transformation has been noteworthy, to say the least. As Bancel put it, 鈥淭he big enablers to make a vision come true are the focus on end-to-end processes, change management, and, of course, the digitalization. In our case it was with 麻豆原创 IBP.鈥�

Some key achievements for SLB include:

• Efficiency gains: Planning activities that previously took up to three weeks now take less than a week, and some that took up to two weeks now take less than a day.
• Inventory reduction: 鈥淪LB has been able to improve customer service, reduce lead-time, and drive over $1 billion in inventory savings over the last four years with 麻豆原创 Integrated Business Planning,鈥� Bancel noted. SLB is also reaching a historically low level of inventory days, reducing days inventory outstanding by 37 percent over three years.
• Demand forecast accuracy: Some business lines that started with less than 50 percent demand forecast accuracy and that have been on this journey six to nine months have improved that number to around 90 percent.
• Time savings: Teams now spend less time on data gathering and more time on simulations and scenario planning.

Beyond these quantifiable results, the transformation has fostered a culture of data-driven decision-making and collaboration, empowering SLB to navigate the complexities of the energy industry with greater agility and confidence.

Looking ahead

While impressive, SLB expects even more benefits.鈥淲e’re very proud of these results, but there’s now way more to come,鈥� Bancel said. Wth SLB having all its data in one place, the company is starting to see even more opportunities to streamline and accelerate outcomes. 鈥淭he fact that all the data is now available for AI, for forecasting, scenario planning — this is just opening a world of opportunities for us.鈥�

Jeb Insley is head of Supply Chain Management for 麻豆原创 Americas.

麻豆原创 Sapphire saw further cement itself as our new UI in the age of AI, as it continues to redefine the end-user experience. Customers are asking questions in natural language, and Joule is working hard behind the scenes to find answers.

More than 40 Joule Agents were announced at 麻豆原创 Sapphire, and the first set of Joule Agents is now available to customers. These agents work across business functions to help customers resolve dispute cases, maintain strong customer relationships, complete follow-up tasks, and more. , the AI operating system for all 麻豆原创 Business AI solutions, simplifies AI development by centralizing all the tools to build, extend, and run custom AI solutions and agents at scale.

And those are just a few announcements from 麻豆原创 Sapphire! Check out the or this overview for more announcements and the full picture. As we close the second quarter of 2025, we have a ton of 麻豆原创 Business AI updates to share.

In the second quarter of 2025, we continued accelerating the delivery of high-impact innovations to customers with enhancements to Joule, Joule Agents, and additional AI scenarios embedded across the portfolio. These features are all built with AI Foundation on  and add to over 240 existing AI scenarios and 1,600 Joule skills. We are working hard and are fully on track to have over 400 AI scenarios by the end of 2025 that will deliver unparalleled business value to customers.

Here are some of the highlights from Q2 2025:

• Joule continues to redefine the way people interact with 麻豆原创. As is now generally available, consultants can rapidly grasp ABAP code and best practices for faster project execution, less rework, and time savings. The phased integration of Joule with Microsoft 365 Copilot offers a unified experience across 麻豆原创 and Microsoft environments for seamless task completion. Joule’s analytical insights feature is generally available, delivering tailored, on-demand decision support through natural language.
• Joule Agents and AI Agents: For example, in supply chain management, agents can already do so much, from autonomously scheduling and optimizing service orders to continuously analyzing real-time data to suggest maintenance schedule adjustments, help reprioritize tasks, and improve asset health. In human capital management, the Performance and Goals Agent provides managers with data-driven insights before one-to-one employee meetings. In 麻豆原创 CX AI Toolkit, the Shopping Agent and CX Agents Builder are now generally available, with the opportunity to build custom agents for customer experience scenarios, such as quote creation, Q&A, or service classification.
• is working to minimize disruptions and simplify planning. 麻豆原创 Digital Manufacturing gets error analysis, and Joule鈥檚 general availability provides instant access to critical information through natural language. There鈥檚 an add-in for Microsoft Excel and 麻豆原创 Integrated Business Planning (麻豆原创 IBP) to generate IBP formulas using natural language. These are just some of the supply chain updates. Explore more below.
• : It鈥檚 all about efficiency when it comes to and spend. Joule partners with 麻豆原创 Document and Reporting Compliance to translate complex e-invoicing errors into natural language. This way, error misunderstandings are a thing of the past. Joule enhancements in 麻豆原创 S/4HANA Cloud Public Edition increase efficiency with proactive sales order fulfillment monitoring, direct fixed asset master data creation, and price adjustment suggestions. For 麻豆原创 S/4HANA Cloud Private Edition, Joule helps users with field logistics, cash management, contract analysis, and streamlines convergent invoicing processes. The first Joule agents are now available in spend management. The Concur Travel Meeting Location Planner Agent simplifies off-site planning by automating information gathering and coordination. The Concur Expense Report Validation Agent can proactively flag issues and guide users through corrections, reducing report preparation time dramatically. Learn more below.
• 麻豆原创 Business AI for procurement sees Joule join 麻豆原创 Fieldglass and boosts Contingent Workforce Management with AI-assisted skill-based job postings, which reduce time defining and matching skills and lower worker ramp-up time. Plus, the AI summarizer in 麻豆原创 Ariba slashes document review times by 50%, and the Sourcing Agent, available in beta, speeds up the sourcing event creation process. Dive in below.
• shows the power of AI and 麻豆原创 SuccessFactors. New language features streamline translation, interview feedback improves candidate evaluations, and “Explain Pay” in Joule reduces payroll help desk tickets and raises employee satisfaction. Explore more below.
• puts the power of Joule in developers鈥� hands. Generative AI hub in AI Foundation gets the latest and greatest models, including Google Gemini 2.5 Pro and Flash, OpenAI GPT, o3, o4-mini, 4.1, 4.1-mini, 4.1-nano, and Mistral Small 3.1, Anthropic Claude Opus 4, Sonnet 4, and NVIDIA Llama 3.2 nv embedqa 1b. The . It automates prompt optimization across AI models, eliminating vendor lock-in and expediting model adoption. 麻豆原创 Document AI now includes file filtering, for example, allowing AI agents to process only relevant document pages for more efficient processing and more flexibility for task-specific document handling. Learn more below.

We will deliver more use cases across our entire solution range in the second half of 2025. Customers can stay updated with .

Joule

麻豆原创 Joule for Consultants
Generally available

Consultants navigating complex innovation and transformation projects require access to reliable and efficient information. assists consultants in rapidly understanding ABAP code purpose, business logic, and structure through a model trained on 300 million lines of ABAP and 30 million lines of CDS code. This access to 麻豆原创鈥檚 exclusive content, coupled with over 200,000 pages of 麻豆原创 documentation, over 50 麻豆原创 Certifications, and more than two terabytes of curated 麻豆原创 Community content, allows consultants to make informed decisions and align projects with best practices.

The resulting business value includes up to a 14 percent acceleration in project execution, a 50 percent reduction in design iterations and rework, and an estimated 1.5 hours saved per consultant per day due to much faster knowledge access and improved code interpretation.*

This capability was recently included in the which shows how AI can be applied in real-world scenarios to solve complex global challenges responsibly.

Discover how KPMG is revolutionizing 麻豆原创 transformations with 麻豆原创 Joule for Consultants and 麻豆原创 Business Data Cloud:

Click the button below to load the content from YouTube.

Always allow YouTube

.

Joule in Microsoft 365 Copilot and Microsoft Teams
Generally available

Modern enterprises rely on interoperability between critical business systems. Joule is now generally available within Microsoft 365 Copilot and Microsoft Teams, including Microsoft Teams Mobile. This integration enables users to access information and complete tasks while leveraging the strengths of both ecosystems.

Customers can now chat directly with Joule in Microsoft Teams, use Joule in Microsoft Teams and Microsoft Teams Mobile as an app, and ask Joule questions directly in Microsoft 365 Copilot. The integration of Joule and Microsoft 365 Copilot provides a unified AI experience across 麻豆原创 and Microsoft environments. The integration will increase employee productivity, reduce information silos, and streamline workflows, ultimately leading to improved operational efficiency and data-driven decision-making across the organization. Later this year, we鈥檒l launch the second half of the integration, bringing Microsoft 365 Copilot capabilities into Joule and 麻豆原创 applications. Business users will be able to access data from Microsoft Teams, Outlook, OneDrive, and SharePoint — all from within Joule.

Click the button below to load the content from YouTube.

Always allow YouTube

.

Analytical insights feature
Generally available

Joule’s analytical insights feature delivers tailored, on-demand decision support directly within any 麻豆原创 business application workflow. Business users can ask Joule natural language questions such as “Who were the top three sales managers last month?” or 鈥淲hat is the amount of sales commission this month?鈥� and get immediate, context-rich insights, enabling them to make more informed decisions faster without needing to access 麻豆原创 Analytics Cloud dashboards directly. This results in an 80 percent reduction in steps to get analytical insights and a seamless user experience.*

Click the button below to load the content from YouTube.

Always allow YouTube

.

麻豆原创 Business AI for supply chain

Joule with 麻豆原创 Digital Manufacturing
Generally available

Production engineers face a common challenge: the need for instant access to key information without navigating through lengthy help content or documentation. Joule with 麻豆原创 Digital Manufacturing addresses this directly by providing an intuitive, natural language conversational search. It interprets queries and instantly retrieves relevant, summarized information from the application’s help content.

This streamlined access to critical knowledge translates to a significant business value, including a 30 percent reduction in the time required to gain insights in digital manufacturing, boosting productivity.*

.

麻豆原创 Digital Manufacturing, AI-assisted production engineering
Beta release

麻豆原创 Digital Manufacturing offers an AI-powered production engineering feature tailored to product engineers who need to manage production processes efficiently. This feature empowers users to analyze error logs with AI assistance, automatically identifying root causes and generating resolution instructions. Furthermore, it allows engineers to extend processes through script tasks created from natural language input.

By streamlining error analysis and script creation, this feature delivers up to a 25 percent reduction in error analysis time for production process errors and a one percent reduction in non-productive time.*

.

麻豆原创 Integrated Business Planning, add-in for Microsoft Excel, AI-assisted planning
麻豆原创 Early Adopter Care release

Supply chain planners can now significantly enhance workflow efficiency with the 麻豆原创 Integrated Business Planning (麻豆原创 IBP) add-in for Microsoft Excel. Utilizing AI-assisted planning, users can generate 麻豆原创 IBP formulas through natural language input, eliminating the need for in-depth technical knowledge of functions and parameters. This intuitive functionality allows for the seamless integration of custom calculations within planning views.

The resulting business value is a demonstrable 10 percent improvement in supply chain planner productivity when updating key figures and attributes via the Excel add-in.*

Click the button below to load the content from YouTube.

Always allow YouTube

.

Field Service Dispatcher Agent
Beta release

The new Field Service Dispatcher Agent enables dispatchers to efficiently plan and optimize service orders by leveraging real-time data, technician availability, and intelligent recommendations. It proposes the right technician for the right job at the optimal time and location, reducing manual effort and decision fatigue. Each proposal is verified by a dispatcher, maintaining human oversight while streamlining operations. This “human-in-the-loop” approach helps ensure both precision and trust.

This agent boosts dispatcher productivity by reducing manual tasks, minimizing errors, and enabling faster, more efficient decision-making. It also optimizes resource allocation by analyzing real-time data, reducing misallocations, and ensuring the right resources are assigned to the right jobs.

Dispatchers can expect to increase their productivity by up to 50 percent and reduce erroneous technician assignments by up to eight percent.*

.

Maintenance Planner Agent
Beta release

Maintenance planners can efficiently manage and prioritize a growing list of maintenance tasks while ensuring equipment reliability and minimizing downtime. Collaborating with the maintenance planner, the Maintenance Planner Agent continuously analyzes real-time data and suggests maintenance schedule adjustments, reprioritizing tasks and improving asset health.

It helps maintenance planners create and streamline maintenance event backlogs faster and more efficiently, reducing downtime by quickly identifying and addressing maintenance issues.

Maintenance planners can expect to increase their productivity by up to 40 percent* and reduce unplanned downtime by up to one percent.*

.

麻豆原创 Business AI for finance and spend

麻豆原创 Document and Reporting Compliance, AI-assisted electronic document error handling
Generally available

Tax accountants encountering challenges with the growing complexities of e-invoicing can benefit from Joule with 麻豆原创 Document and Reporting Compliance. This solution translates intricate electronic document errors into easily understandable natural language, eliminating the need to navigate technical jargon. This allows for quick identification and efficient resolution of underlying issues, minimizing disruptions and potential penalties.

The demonstrated business value is an up to 80 percent reduction in the time spent on understanding error specifics and determining the root cause, driving significant gains in efficiency and compliance.*

.

Joule with 麻豆原创 S/4HANA Cloud Public Edition product enhancements
Generally available

Joule is now more powerful than ever in 麻豆原创 S/4HANA Cloud Public Edition, providing greater efficiency and control over key business processes. In addition to viewing business data for Work Centers and Resources, business users can now monitor sales order fulfillment proactively. By flagging potential issues and providing remediation suggestions, Joule helps users keep orders on track.

Furthermore, Joule allows users to create fixed asset master data directly within the 麻豆原创 S/4HANA Cloud Public Edition, reducing time for large-scale training and supporting greater accuracy and better data governance.

Additionally, Joule can help pricing specialists better handle expiring prices by suggesting new adjusted prices, reducing the time and cost of expiring price detection and new price creation by up to 90 percent.*

For detailed information on the latest enhancements, .

.

Joule with 麻豆原创 S/4HANA Cloud Private Edition product enhancements
Generally available

Joule with 麻豆原创 S/4HANA Cloud Private Edition is getting new capabilities across several business functions. Field logistics users can now directly fetch quantities for non-stock items. Furthermore, Joule now unlocks comprehensive cash management capabilities, including monitoring bank statements and initiating transfers. Users working on convergent invoicing can now manage key processes directly, including assigning processors to clarification cases and controlling print locks on invoicing documents.

Joule also enables shipping specialists to fetch details of outbound deliveries and show detailed information, such as picking statuses or ship-to parties for outbound deliveries and sales orders, without the need to find and open the relevant apps. For example, Joule can show all outbound deliveries with goods not yet fully picked or all sales orders due to be delivered, enabling faster issue resolution and improved fulfillment tracking.

And that鈥檚 not all. With the help of Joule, sales representatives can now efficiently extract key contract details, track historical changes, analyze critical KPIs, and rectify errors. This enables deep analysis and swift resolution of sales negotiations, enhancing renewal and upsell opportunities. Additionally, Joule simplifies contract inquiries, boosting customer satisfaction. Sales representatives can expect to reduce the time spent summarizing subscription contract data by up to 80 percent.*

For additional information on these enhancements,

.

Accounts Receivable Agent
Beta release

Accounts receivable accountants now have support for processing data related to overdue receivables. The Accounts Receivable Agent can find overdue receivables from different applications and perform appropriate follow-up tasks with customers based on their profiles and payment histories.

Using this Joule Agent, customers can expect to reduce the days sales outstanding (DSO) by up to one percent, the uncollectible write-offs by up to two percent, and the effort analyzing and reconciling open accounts receivable (AR) items by up to 75 percent.*

.

Meeting Location Planner Agent
Beta release

Meeting planners can simplify and accelerate off-site event planning with Meeting Location Planner Agent. It suggests locations that minimize travel time for attendees, recommends an event location based on a company鈥檚 office, suggests suitable hotels, offers a comprehensive overview of the total pricing for the offsite, and provides an email template with a deep link for attendees to book their trip. Ultimately, this enables users to plan within their budget.

Automating information gathering and coordination streamlines planning and boosts productivity. It empowers more informed choices to control expenses while meeting event goals and improves the attendee experience with seamless communication and clear booking instructions.

This yields up to a 10 percent cost avoidance for planned meetings and a 15 percent reduction in the time required to plan offsites, improving the process of sharing information with all attendees.*

.

Expense Report Validation Agent
麻豆原创 Early Adopter Care release

Expense managers can streamline the expense reporting process with Expense Report Validation Agent. It proactively flags issues and guides users through corrections to minimize delays caused by rejected or returned reports. It improves the user experience by assisting in completing and submitting expense reports, reducing errors, and ensuring all necessary details are included by prompting users for needed information.

This leads to a 30 percent reduction in the time spent preparing and submitting expense reports and a 24 percent increase in first-pass expense reports, improving the overall user experience.*

.

麻豆原创 Business AI for human resources

麻豆原创 SuccessFactors solutions, AI-assisted bulk translation
Generally available

System administrators seeking to enhance employee engagement and support compliance can utilize bulk translation within 麻豆原创 SuccessFactors solutions. This tool instantly translates preset page content into multiple languages and features an intuitive edit UI for reviewing translations. The resulting benefits include a simplified translation process, which saves time and costs compared to manual methods, improved translation quality and consistency, and enhanced employee engagement through localized content.

System administrators can reduce the cost of translating customer-specific objects鈥� during system localization by up to 90 percent.*

.

麻豆原创 SuccessFactors Learning, AI-assisted image generation for learning
Generally available

Learning administrators using 麻豆原创 SuccessFactors Learning can now benefit from AI-assisted image generation to create more engaging content without relying on external image sourcing. This tool allows for the quick and easy generation of images for custom cards, banners, items, programs, and curricula by simply entering a description. The key benefits are significantly reducing time spent searching for images, enabling faster content creation, and ultimately enhancing the overall learning experience for administrators and users.

Learning designers can expect to reduce their time spent on generating learning images by up to 70 percent, and learning administrators can reduce external spend on stock imagery by up to 90 percent.*

.

麻豆原创 SuccessFactors Performance & Goals, AI-assisted sentiment analysis in 360 reviews
Generally available

HR professionals and managers can now utilize sentiment analysis in 360 reviews to gain deeper insights into employee performance with 麻豆原创 SuccessFactors Performance & Goals. This feature analyzes the sentiment behind rater feedback on 360 review forms, providing a clear understanding of an employee’s attitude towards skills and competencies.

The resulting benefits are time savings through a quicker grasp of performance narratives, data-driven decision-making to improve employee performance, and an intuitive way to identify employee strengths and growth opportunities.

This feature is expected to reduce by up to 30 percent the proportion of voluntary turnover that can be attributed to unclear sentiments behind 360掳 feedback.*

.

麻豆原创 SuccessFactors Performance & Goals, AI-assisted team goals
Generally available

Team leaders and managers using 麻豆原创 SuccessFactors Performance & Goals can now leverage AI to efficiently build meaningful and inspiring team goals. The system generates well-structured goals that align with organizational standards by describing desired team achievements. Users can review, edit, and regenerate content as needed.

The feature creates high-quality, aligned team goals and shifts focus from ideation and drafting to achieving results.

Managers can reduce the time allocated to creating team goals by up to 65 percent.*

.

麻豆原创 SuccessFactors Performance & Goals, AI-assisted performance insights
Generally available

Managers can now utilize performance insights to comprehensively understand employee performance based on feedback received from 麻豆原创 SuccessFactors Performance & Goals. This feature generates a summary and synthesis of qualitative feedback from a given performance year, allowing managers to visualize and understand employee performance more effectively.

The benefits are improved efficiency in completing performance forms and preparing for one-on-one meetings, connecting qualitative feedback and achievement data with quantitative ratings, and expanded information for leading performance management within the team.

Managers can reduce by up to 70 percent the time spent preparing their direct reports鈥� performance histories for respective review discussions.*

.

麻豆原创 SuccessFactors Succession & Development, AI-assisted successor insights
Generally available

Succession planners and people managers using 麻豆原创 SuccessFactors Succession & Development can now leverage successor insights to streamline and enhance succession planning. Users gain valuable insights into potential successors directly from the position card, including role alignment, performance, key achievements, strengths, and development areas.

The benefits are readily available and relevant insights to guide succession planning decisions, a shift in focus from data digging to strategic workforce management, and the ability to define targeted career growth and skill development to build a broader bench of qualified candidates for key positions.

Both successor planners and managers can expect to reduce the time spent on succession planning by up to 20 percent through automated insights into candidate profiles and succession data management.*

.

麻豆原创 SuccessFactors Recruiting, AI-assisted interview feedback insights
Generally available

Recruiters and hiring managers can now leverage AI-powered interview feedback insights to streamline candidate evaluation. The system provides a comprehensive evaluation of candidates by incorporating assessments of skills and competencies, overall comments, notes, skill-specific feedback, and the final recommendation, all generated from interviewer feedback. Recruiters can generate, view, and regenerate these insights as needed, ensuring the latest feedback is reflected.

This improves efficiency in reviewing candidate feedback, eliminates the manual effort of creating summaries, facilitates the easy identification of consensus or concerns across the interview team, and allows for the regeneration of summaries as additional feedback becomes available.

Recruiters can reduce by up to 70 percent the time spent on summarizing interviewer feedback per interviewed candidate.*

.

麻豆原创 SuccessFactors solutions, AI-assisted extended AI locales
Generally available

HR leaders aiming to support a global workforce can leverage extended AI locales within 麻豆原创 SuccessFactors solutions to expand language coverage. Managed by system administrators, this feature enables the creation, review, and management of AI-translated locales through a UI and built-in workflow, ensuring human-reviewed and customized translations.

System administrators can reduce up to 90 percent the cost of managing AI-translated locales for customer-specific objects during system localization, while reducing compliance risk.*

.

Joule with 麻豆原创 SuccessFactors Mobile
Generally available

麻豆原创 SuccessFactors users can now use Joule with 麻豆原创 SuccessFactors Mobile apps to manage daily tasks more intuitively and efficiently. Joule allows employees to independently resolve issues and reduces the time spent searching for information. It empowers managers to make data-driven decisions, supporting better team performance and growth.

On iPhones and iPads, users can ask Siri to open Joule and use it to answer their questions. For example, mobile users can say, “Hey Siri, ask Joule with 麻豆原创 SuccessFactors” to start the interaction with Joule via Siri.

.

麻豆原创 SuccessFactors Employee Central, AI-assisted explain pay
Generally available

麻豆原创 SuccessFactors Employee Central Payroll lets employees utilize the “explain pay” feature with the help of Joule to instantly answer their questions about pay changes and details. This AI-driven functionality provides immediate explanations, significantly reducing payroll help desk tickets and boosting employee satisfaction.

HR departments can expect a 50 percent reduction in pay statement-related HR tickets, and employees can benefit from zero lead time for getting a qualified answer.*

and watch it in action in the 麻豆原创 SuccessFactors H1 2025 release highlights video:

Click the button below to load the content from YouTube.

Always allow YouTube

Performance and Goals Agent
Beta release

The new Performance and Goals Agent in 麻豆原创 SuccessFactors automates data collection, generates personalized talking points for managers, and suggests actionable next steps like producing meeting notes in continuous performance management, scheduling 1:1s, requesting feedback, and more.鈥� It ensures managers are equipped with relevant insights and reduces time spent on manual prep work.

For instance, the agent can alert managers that they have a performance review with one of their employees coming up, but do not have any peer feedback. The agent can work on their behalf to collect feedback from their employees鈥� peers, summarize that feedback, and prepare them before the conversation.

The Performance and Goals Agent simplifies complex HR processes such as performance reviews and compensation planning, reduces the administrative burden, and creates and executes actionable plans with the correct information and data.

It reduces by up to 50 percent鈥� the manager鈥檚 time in preparation for performance discussions, by up to 80 percent鈥� the manager鈥檚 time on following up on performance discussions, and by up to 30 percent鈥� the voluntary turnover that can be attributed to poor performance discussions.*

.

麻豆原创 Business AI for customer experience

麻豆原创 Service Cloud Version 2, AI-assisted entity extraction鈥�
Generally available

Contact center agents frequently face the challenge of manually sifting through unstructured text in emails and documents to extract vital information. The new entity extraction feature in 麻豆原创 Service Cloud Version 2 automatically identifies and extracts relevant ID patterns, such as product IDs and serial numbers, converting unstructured text into structured data.

This reduces manual effort, enabling faster case processing and resolution. This leads to a 50 percent increase in service staff productivity and a 30 percent reduction in repeat cases, ultimately improving customer satisfaction.*

.

麻豆原创 Service Cloud Version 2, AI-assisted registered product summary
Generally available

Customer service representatives often spend excessive time gathering information about registered products when handling support cases. With 麻豆原创 Service Cloud Version 2, we introduce a new AI feature that generates comprehensive summaries for registered products, including an “about registered product” section and a summary of related cases.

This functionality significantly reduces the time spent on information gathering, enabling faster issue resolution and ultimately improving the overall customer experience. Service staff productivity is expected to improve by up to 25 percent, and the first-call resolution rate is expected to increase by up to 15 percent.*

.

麻豆原创 Sales Cloud Version 2, AI-assisted sales order summary
Generally available

Sales managers can now quickly understand all key aspects of a sales order with the AI-assisted sales order summary. They gain immediate insights into pricing fluctuations such as increases or decreases with percentage changes, on-time delivery status, the quantity of free products offered, and instances of product substitution.

This automation eliminates manual data analysis, leading to a saving of 90 percent of the time spent on pricing simulation assessments, and empowering faster, more effective decision-making.*

.

麻豆原创 CX AI Toolkit
Shopping Agent
Generally available

Digital operation managers and e-commerce platforms require intelligent tools to enhance customer engagement. The Shopping Agent, a key component of the 麻豆原创 CX AI Toolkit, leverages cutting-edge AI to transform online interactions into natural, conversational experiences. It allows customers to articulate their needs and receive personalized product recommendations. The agent facilitates informed purchasing decisions by understanding context and accessing real-time product information.

The agent increases operational efficiency, improves customer service, and provides a scalable solution for enhancing the shopping experience across diverse product catalogs, driving long-term growth and customer satisfaction.

Digital operation managers can expect an increase in online conversion rate by up to 10 percent, an increase in average order value by up to 10 percent, and an increase in repeat purchases by up to five percent.*

.

麻豆原创 CX AI Toolkit
Custom AI agents
Generally available

Customer-facing teams can enhance their efficiency with custom AI agents. These customizable agents empower businesses to configure and deploy specialized AI agents within 麻豆原创 Sales and Service Cloud, automating complex tasks without custom coding. The agents streamline workflows by intelligently classifying cases, proactively capturing knowledge from resolved cases, and providing quick access to comprehensive organizational knowledge.

Customers can access the Quote Creation Agent, Q&A Agent, Classification Agent, Knowledge Base Article Agent, and Digital Service Agent, which are all generally available.

Organizations can experience up to a 50 percent increase in productivity for tasks managed by AI agents within sales and service functions, resulting in improved operational performance.*

.

Joule with 麻豆原创 Enterprise Service Management and 麻豆原创 Service Cloud Version 2
麻豆原创 Early Adopter Care release

Service agents can now leverage Joule with 麻豆原创 Service Cloud Version 2 and 麻豆原创 Enterprise Service Management to get customer, supplier, and employee information at their fingertips.

Service agents can ask Joule to create tickets, access cases created, view case details, update case priority and status, and much more.

This integration helps increase productivity by allowing users to access and navigate directly to needed information. It also improves the overall customer experience by responding to queries more quickly.

Register for and .

麻豆原创 Emarsys, AI-assisted product finder
Beta release

Marketers often struggle to incorporate the right products into e-mail campaigns quickly. 麻豆原创 Emarsys, AI-assisted product finder, streamlines this process by enabling intuitive keyword and natural language search. This helps marketers instantly locate relevant products within their catalog. The feature further automates the mapping of product fields to email content blocks, eliminating manual setup.

This empowers marketers to boost campaign speed and flexibility and focus on creating engaging content, improving efficiency, and potentially increasing sales conversion rates.

Marketing managers are expected to see a reduction in time spent manually inserting products into email by up to 60 percent and an increase in campaign speed from template creation to launch by up to 30 percent.*

.

麻豆原创 Business AI for procurement

Joule with 麻豆原创 Fieldglass solutions
Generally available

Managers can leverage Joule with 麻豆原创 Fieldglass solutions to effortlessly manage key tasks such as viewing, navigating, searching, approving, and organizing activities. These capabilities are included in timesheets, work orders, and job postings — all within a unified experience.

Joule helps managers find the right templates quickly, such as hiring or services procurement templates, improving efficiency in their document creation. Users get insights into company data by finding applicable reports and seeing valuable KPI trends more easily. Alternatively, they can simply ask questions about a feature. Joule will search 麻豆原创 Help Portal documentation to retrieve the correct information without the user needing to navigate away from the current task.

Managers can expect an improved employee productivity through task completion by up to 50 to 70 percent, with less time spent on finding and editing the right hiring templates, statement of work (SOW) description, shorter interview time, and an easier way to access, create, and modify reports.*

.

麻豆原创 Fieldglass Contingent Workforce Management, AI-assisted skill-based job posting
Generally available

Hiring managers can spend a lot of time crafting detailed job descriptions to find the right workers. Now, AI-assisted skill-based job postings in 麻豆原创 Fieldglass Contingent Workforce Management allow managers to focus on key skills rather than full role descriptions. The feature suggests relevant skills from a custom library, facilitating faster and smarter talent matching.

This results in a 50 percent reduction in the time required to define and match skills for a job posting, a 15 to 25 percent increase in productivity, and a 40 percent reduction in worker ramp-up time, ultimately leading to more efficient and effective contingent workforce management.*

.

麻豆原创 Ariba Category Management, AI-assisted strategy summarizer
Generally available

Category managers can use the AI-assisted strategy summarizer within 麻豆原创 Ariba to generate concise summaries of category strategy documents, quickly understanding key insights without extensive manual review. The refined summaries can then be sent for approval and regenerated when needed, reducing the time required to review and approve completed category strategy documents by 50 percent*.

.

Sourcing Agent
Beta release

Sourcing managers can now automate sourcing events and make real-time updates to match the speed of business. The Sourcing Agent can reason through sourcing event requests, past event data, and supplier information to create tailored events autonomously. Sourcing managers can now create and adapt events in real time and automate smart updates, enabling faster, better-informed purchasing decisions and more agile responses to supply chain disruptions and shifting business conditions.

The Sourcing Agent streamlines procurement by automating RFP creation, ensuring consistency, and reducing manual effort. Sourcing managers gain intelligent recommendations for event duration, questions, items, and suppliers 鈥� and can reduce the time to create an RFP by up to 70 percent.*

.

麻豆原创 Business AI for IT and developers

Joule Studio in 麻豆原创 Build
Skill builder
Generally available

Organizations aiming to optimize automation and efficiency across 麻豆原创 and non-麻豆原创 systems can use Joule Studio, a capability within 麻豆原创 Build, to create and deploy Joule skills tailored to their specific business needs. Developers can now build Joule skills for rule-based tasks.

Key benefits include deep grounding in business-specific data and processes for reliable outcomes, an open and extensible framework for seamless connectivity, and built-in security and compliance for centralized management and data privacy.

With skill builder, business users experience a reduction of the time spent on frequent business tasks by up to 25 percent. Developers can reduce the time spent to deploy custom Joule skills by up to 10 percent.*

Click the button below to load the content from YouTube.

Always allow YouTube

.

Generative AI hub prompt optimizer
Preview

麻豆原创 is paving the way for a multi-model AI future by introducing prompt optimizer, a capability of generative AI hub in AI Foundation. This groundbreaking technology eliminates vendor lock-in by automating prompt optimization when switching between AI models. Automatically converting existing prompts into optimized prompts for various models using public benchmarks drastically reduces the time required to migrate use cases from days to minutes. Organizations can now seamlessly adopt new, more cost-effective, geographically available models without lengthy and expensive re-engineering.

, with general availability expected later this year. This offers greater flexibility in building AI solutions.

Generative AI hub product enhancements
Generally available

The generative AI hub now offers access to , enabling application developers to explore which model works best for their custom AI use case.

Application developers can also easily manage the life cycle of their prompts from design to runtime using , reducing the complexity of dealing with prompt templates and leveraging integration capabilities.

In addition, new models are available as part of the generative AI hub, including Google Gemini 2.5 Pro and Flash, OpenAI GPT, o3, o4-mini, 4.1, 4.1-mini, 4.1-nano, and Mistral Small 3.1, Anthropic Claude Opus 4, and Sonnet 4, and NVIDIA Llama 3.2 nv embedqa 1b.

Finally, a translation module has been added to the orchestration feature, improving answer quality when the configured model performs better when input is provided in a specific language. It can be configured for and text.

.

麻豆原创 Document AI product enhancements
Generally available

麻豆原创 Document AI, formerly Document Information Extraction, seamlessly processes, extracts, and understands structured and unstructured data from business documents while automating document processing. It significantly reduces manual efforts and minimizes errors.

The service is now available in new regions across major cloud providers: Amazon Web Services (Sao Paulo, Brazil), Google Cloud Platform (Mumbai, India), and Microsoft Azure (Singapore). This expansion aims to provide lower latency, better scalability, and enhanced global reach for businesses utilizing the service. The goal is to improve user experience and satisfaction by offering faster and more reliable AI-powered document processing.

Moreover, the premium edition of 麻豆原创 Document AI now supports a greatly expanded list of languages, including various dialects and regional languages, such as Ido, Ladino, Fijian, Wu Chinese, and many more. This enhanced language support enables businesses to broaden their global reach, improve inclusivity, and increase the efficiency and accuracy of their document processing workflows across diverse linguistic landscapes.

Finally, file filtering capabilities in 麻豆原创 Document AI are now available, allowing AI agents to process only relevant document pages, for example. This feature streamlines processing, saves time by reducing the scope of analysis, and adds flexibility for task-specific document handling, which is especially beneficial for long or complex documents.

Click the button below to load the content from YouTube.

Always allow YouTube

and start with to access cutting-edge generative AI features in 麻豆原创 Document AI, such as instant learning.

麻豆原创 HANA Cloud product enhancements
Generally available

Developers building custom AI applications on 麻豆原创 Business Technology Platform (麻豆原创 BTP) can now benefit from new capabilities that are included in the latest release of the 麻豆原创 HANA Cloud: 

• Leveraging improved vector similarity search scenarios, based on the new in-database text embedding model version, covering more languages and short-text embedding scenarios
• Getting insights from text data stored in 麻豆原创 HANA Cloud via text embedding features as input to Predictive Analysis Library (PAL), AutoML classification and regression models, and k-nearest neighbors鈥� models
• Explaining tabular data outliers using enhanced isolation forest outlier detection and SHapley exPlanations, for example, applied to financial accounting data in the universal journal
• Managing machine learning model development, documentation, and reproducibility, using new experiment tracking and task scheduling capabilities for PAL models
• Detecting data drift using the new Automated Predictive Library (APL) functions to detect unexpected, suspicious, or fraudulent transactions, and simply trigger the required retraining of machine learning models

Click the button below to load the content from YouTube.

Always allow YouTube

The complete enhancements are available on the and . Check out how enterprises need to rethink their database for AI workloads, and how 麻豆原创 HANA Cloud is leading that shift, here.

麻豆原创 Build Code
麻豆原创 HANA Cloud text to SQL generation
Generally available

The AI-assisted database application development SQL console has been updated to support the generation of standard SQL statements for public monitoring views and custom data models from a customer 麻豆原创 HANA Cloud instance.

During SQL statement generation, the prompt and suitable additional information from the database object metadata and 麻豆原创 HANA Cloud documentation are sent to the large language model (LLM). With this context, the LLM can generate syntactically valid SQL statements that can be executed on 麻豆原创 HANA Cloud. This enhancement personalizes query generation, improves flexibility, and increases efficiency.

.

麻豆原创 Build Code
麻豆原创 HANA application migration assistant
Generally available

The new extension, 麻豆原创 HANA application migration assistant is based on Joule and is now available in 麻豆原创 Build Code. This enhanced tool extends the capabilities of the existing database migration assistant by automating the conversion of the service layer that includes XSJSLIB, XSODATA, and XSJS artifacts from or into modern CAP-based services, aligning with .

Using generative AI, it simplifies service layer migration when customers choose “XS Classic to CAP” or “XS Advanced to CAP” templates. This feature eases migration of applications from 麻豆原创 HANA extended application services to CAP.

.

Joule with 麻豆原创 Business Accelerator Hub
Generally available

With 麻豆原创 Business Accelerator Hub, developers can explore, discover, and consume APIs, pre-packaged integrations, business services, and sample apps.

In Q2, we released Joule with 麻豆原创 Business Accelerator Hub to help them discover pre-built business accelerators using natural language. With Joule, they can expect to reduce the time needed to access the 麻豆原创 Business Accelerator Hub content by up to 40 percent.*

.

Joule with 麻豆原创 Datasphere
麻豆原创 Early Adopter Care release

Data architects and data engineers can leverage Joule with 麻豆原创 Datasphere to quickly learn how to use specific 麻豆原创 Datasphere functionalities and receive answers with references to product documentation. They can also ask Joule for specific information about their 麻豆原创 Datasphere instance or delegate tasks like switching to the system language.

This integration reduces reliance on internal IT for product-related questions and enables faster navigation within 麻豆原创 Datasphere.

.

麻豆原创 Business AI for industries

麻豆原创 Cell and Gene Therapy Orchestration, AI-assisted exception management
Beta release

Cell and gene therapy supply chain managers will get unparalleled visibility and control with 麻豆原创 Cell and Gene Therapy Orchestration, enhanced with AI-assisted exception management. When unexpected delays or disruptions occur during the patient-specific manufacturing and delivery process, the AI-powered control tower detects these anomalies and proactively alerts the appropriate personnel.

This feature helps supply chain managers identify exceptions and support resolution and rescheduling to maximize patient access and minimize costs. It optimizes manufacturing for optimal capacity utilization, higher revenue, reduced material waste, and improved user experience to benefit patients and healthcare providers.

Supply chain managers can expect to increase their productivity by up to 60 percent* by handling exceptions.

.

Philipp Herzig is CTO, chief AI officer, and a member of the Extended Board 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, express or 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.

Its equipment and personnel operate in some of the harshest environments on Earth. Every piece of equipment is vital for safe, efficient operations; even minor failures can cause significant downtime, production losses, or safety risks.

Maintenance costs for oil, gas, and energy companies are substantial, involving helicopters, specialized technicians, and strict safety protocols. A single maintenance trip can cost hundreds of thousands of euros, while unplanned downtime can result in millions in losses.听聽

Recognizing these challenges, Aker BP decided to embrace digitalization to improve efficiency and safety. Its goal was to build an infrastructure where equipment could communicate its needs proactively, alerting operators well before problems occur.听

To realize this vision, Aker BP implemented as a hub for condition-based maintenance (CBM). In partnership with , the company leveraged and (麻豆原创 BTP) as well as artificial intelligence and machine learning to automate maintenance and enable predictive, data-driven decision-making.听

Vision behind Aker BP鈥檚 digital ambitions

Within the company, the key challenge was not just collecting data but making it actionable. Knowing the importance of digitalization, Aker BP decided to deepen the understanding of available data and use it effectively for informed decision-making while ensuring thorough documentation of these decisions.

鈥淚n Aker BP, we have a strong ambition to modernize and digitalize the way we work,” shared Torben Kristensen, Advanced Reliability engineer at Aker BP. “It is not just an ambition, it is a necessity.鈥�

Operating Normally Unmanned Installations (NUIs), Aker BP required robust monitoring solutions to gain clear insights into system health and to anticipate maintenance tasks ahead of time. This proactive approach was crucial given the remote and automated nature of the company鈥檚 facilities. 

Aker BP knows that automation is integral to achieving these objectives. The company decided to automate the processing and management of the decisions made in the previous steps to enhance efficiency and accuracy.听

Putting plan into action

The foundation of the project was the use of 麻豆原创 Asset Performance Management to create a robust CBM hub. To meet Aker BP鈥檚 unique needs, the team leveraged standard building blocks from 麻豆原创 BTP to extend 麻豆原创 Asset Performance Management with the asset data onboarding application to manage data ingestion and integrate third-party alerts.听

The challenges were efficiently collecting and processing time-series data and real-time alerts. With the assistance of Lighthouse, the team developed a custom onboarding application to streamline the data ingestion process for smooth integration and accurate real-time monitoring.听聽

鈥淥ur goal is to establish a comprehensive maintenance strategy that eliminates unknown breakdowns on critical equipment,” explained Kim Alexander J酶rgensen, operations manager for Reliability and CBM at Aker BP. “By leveraging real-time data and condition-based maintenance, we aim for zero unknown failures, ensuring optimized reliability across our operations.鈥�

Using the data from 麻豆原创 S/4HANA allows engineers to fine-tune how thresholds for various assets are set; alerts are only triggered when necessary, avoiding interruptions. This integration meant that the system was always working with accurate, up-to-date information, which is critical for timely and effective decision-making.听

Recognizing the value of third-party specialist systems that had years of accumulated knowledge about specific equipment, Aker BP focused on integrating alerts and events from these systems into the 麻豆原创 Asset Performance Management hub. This integration allowed Aker BP to benefit from external expert data without duplicating efforts, with maintenance responses based on real-time information.听

The condition monitoring was handled in silos by different specialist systems, leading to inefficiencies and manual processes. The team created a unified overview page on 麻豆原创 BTP that consolidates data ingestion, alert management, and monitoring in one place, allowing engineers to manage alerts more efficiently and ensure that responses are timely and well coordinated.听

Seamless user experience meets workflow efficiency

With the CBM hub, engineers now have a comprehensive view of system activities at their fingertips. The heartbeat overview continuously monitors both core and third-party systems, making sure they are operational and providing confidence in the reliability of the data. This also allows engineers to quickly detect any issues that may arise during the data ingestion process.听

Alerts from multiple sources offer details on system health, maintenance needs, or potential failures. Presented hierarchically, these alerts help users prioritize and easily access the most relevant, actionable information. 

The 2020 migration to 麻豆原创 S/4HANA was a key milestone, enabling integration of various 麻豆原创 applications with 麻豆原创 Asset Performance Management. This links alerts from asset performance management to business processes like work orders and notifications. For example, an聽 麻豆原创 Asset Performance Management alert triggers an notification with context-specific data, allowing immediate action without switching systems.听

Integration with third-party systems adds further context, including links to original alerts in source systems for deeper analysis. By centralizing maintenance data, Aker BP has integrated multiple 麻豆原创 applications into 麻豆原创 Asset Performance Management, facilitating seamless workflows and supporting the growing scale and complexity of operations.听

Fine-tuning was essential after implementation, as alerts were initially too frequent. The team introduced a 鈥渕ass close鈥� feature to categorize multiple alerts as false positives or data anomalies, maintaining transparency by recording closure reasons and enhancing future learning. Additionally, engineers can now add comments to alerts, documenting and sharing findings directly within the system. 

Business benefits and what lies ahead for Aker BP 

麻豆原创 Asset Performance Management has provided significant business value to Aker BP, including increased operational efficiency through automated monitoring and maintenance, which allows engineers to focus on critical tasks. Cost savings have been achieved through reduced emergency repairs and lower operational expenses, and real-time monitoring improves safety by identifying potential issues before they escalate, particularly in high-risk environments.听

The company implemented proactive maintenance, driven by AI and machine learning, and now can estimate potential failures, which has helped the company to minimize downtime and extended the asset lifespan. The system’s centralized data — integrated with 麻豆原创 S/4HANA — enhances data accessibility and interpretation, while its scalability means it can handle Aker BP鈥檚 growing operations.

鈥淔or our new project, ‘Yggdrasil,’ starting up in 2027, this solution is a prerequisite,鈥� said Terje Lindrupsen, senior maintenance engineer at Aker BP.

The company plans to expand this solution to all of its brownfield and greenfield installations, and also plans to transition to the latest Internet of Things (IoT) capabilities in 麻豆原创 Asset Performance Management, embedded IoT, in 2025, enabling even more advanced real-time monitoring capabilities.听聽

In a , Economist Impact highlights this continuing shift in perception and performance, revealing a rising confidence in procurement鈥檚 ability to make business impact. This is the fourth consecutive year that 麻豆原创 and Economist Impact have partnered on a study, and the survey includes responses from more than 2,000 C-suite leaders globally.

The report, titled 鈥淭he Resilient Edge: Procurement in an Era of Polycrisis,鈥� also underscores procurement鈥檚 growing influence in advancing AI adoption and sustainability performance. However, the field still faces obstacles in assuming this larger role, including readiness for technology and building a future-proof workforce.

Still, the overall trend is clear: procurement鈥檚 fundamental transformation is putting it in a position to play an important role in business strategy.

Growing confidence in procurement to drive strategic value

Businesses today face a convergence of crises鈥攁 鈥減olycrisis鈥濃�攚hich includes environmental shocks, shipping delays, and growing regulatory restrictions. Tariffs are the latest disruption, prompting businesses across sectors to seek quick solutions to avoid price hikes.  

Weathering this storm requires procurement leaders to take on higher risk as they navigate this uncertainty. The Economist Impact report finds that geopolitical risk has emerged as the top concern for procurement leaders, with 64% listing it as their top focus over the next 12 to 18 months, up from just 30% in 2024. This surge reflects both the growing complexity of global operations and procurement鈥檚 expanding influence.

As risk becomes more multifaceted and severe, procurement professionals have a role beyond sourcing supplies at the lowest cost. Instead, they are developing robust strategies to identify, assess, and mitigate risk. This strategic pivot is also reflected in growing cross-departmental trust. In fact, 78% of respondents expressed confidence in procurement鈥檚 ability to manage external risk鈥攁 37% increase from last year鈥攕ignaling procurement鈥檚 growing value as a strategic partner.

AI has a central role in procurement

From detecting demand signals and enabling scenario planning to automating routine workflows, AI is dramatically expanding procurement鈥檚 capabilities.

The Economist Impact report notes that organizations are prioritizing AI proficiency more than any other skill over the next 12 to 18 months, including predictive analytics, demand forecasting, and managing data bias and privacy concerns. These skills are essential for procurement teams that need to pivot quickly in response to unexpected disruptions.

Most importantly, AI will be at the center of procurement鈥檚 continued transformation. An overwhelming 89% of respondents in the study said they are confident in their ability to adopt and apply AI to improve efficiency and productivity. This confidence is grounded in tangible benefits that AI can provide, including identifying early demand signals, optimizing supplier performance, and simulating risk scenarios to support better decision-making

Simply put, AI is no longer optional鈥攊t is essential to procurement success and relevance.

Improved environmental results

Sustainability has climbed to the top of corporate agendas, and procurement is now on the front lines of this effort, managing supplier emissions and ensuring ethical labor practices. Over half (53%) of survey respondents named sustainability as their top strategic priority for the next 12 to 18 months.

Cross-departmental collaboration is central to these efforts and has enabled procurement to align with key financial and environmental goals. Tools like ESG scorecards and supplier decarbonization plans are now standard practice for measuring environmental impact. These innovations are helping companies meet rising expectations from customers, regulators, and shareholders alike, while also reducing long-term operational risks.

These developments show that procurement isn鈥檛 just supporting sustainability鈥攊t鈥檚 driving it.

Procurement鈥檚 inflection point between strategy and cost-cutting

While cost control remains a key part of procurement鈥檚 mandate, the balance for today鈥檚 procurement teams is shifting鈥攆rom tactical cost-saving measures to strategic contributions that enhance agility, foster innovation, and safeguard reputation.

To manage these dual demands, companies are turning to procurement technology, like , to address key priorities and reduce siloes across the organization.

The insights above were explored in depth during an Economist Impact webinar titled,鈥淢easuring up: Balancing risks and goals for Strategic Procurement.鈥� To delve further into these topics and hear expert perspectives, .

Gordon Donovan is global vice president of Research, Procurement, and External Workforce at 麻豆原创.

This data-granular, verifiable, one-click solution supports the company on its path to carbon neutrality by 2030.

Challenges and opportunities

HARTING faced the challenge of finding a reliable method to calculate CO鈧� emissions across thousands of production materials while meeting customer and supplier expectations regarding sustainability. Leveraging its existing ERP application landscape with 麻豆原创 and maintaining established green production and renewable energy processes were crucial.

鈥淐onducting our business and protecting the environment are not mutually exclusive. We are convinced that we must consider both to be successful in the long run,鈥� says Dietmar Harting, member of the Board and partner of the HARTING Technology Group.

Innovations for a sustainable future

Considered the connectivity gold standard across various industrial sectors, HARTING required a robust system to accurately assess emissions. can automate data collection, scale emission calculations, and create CO鈧� transparency throughout the supply chain. 鈥淭he key to communicating our CO鈧� emissions transparently and recognizing potential for reduction lies in the automated calculation and granularity of the data provided by 麻豆原创 Sustainability Footprint Management,鈥� explains Dr. Stephan Middelkamp, general manager, Quality and Technology at HARTING.

This solution enables HARTING to provide real-time, granular data to support the 鈥淕reenLine鈥� label, an environmentally sustainable designation highlighting renewable materials offering up to a 70% CO鈧� reduction.

Strengthening sustainable production

With 麻豆原创 Sustainability Footprint Management, HARTING can now precisely calculate and report product carbon footprints. This capability is essential to address upcoming EU sustainability regulations, such as the Corporate Sustainability Reporting Directive and Digital Product Passport. The solution helps simplify complex data into verifiable, one-click results, promoting sustainable production practices.

Also integrated into HARTING’s sustainability strategy is the use of , which helps the company design products responsibly from the start, reduce plastic taxes, and promote recycling.

鈥淭he site-level data derived from 麻豆原创 Sustainability Footprint Management will drive cleaner production in environmentally friendly facilities while mitigating greenhouse gas emissions and reducing the impact on water and land life. Green is how we think, green is how we act,鈥� emphasizes Jordy Brinks, global environmental manager at HARTING.

On the path to a greener future

麻豆原创 is advancing HARTING鈥檚 sustainability journey by enabling the company to design products more sustainably, reduce plastic taxes, promote responsible sourcing, and further recycling practices. With these efforts, HARTING aims to achieve carbon neutrality at all locations by 2030, underscoring its commitment to sustainable growth and environmental stewardship.

“As a family business, we combine consistency with a willingness to innovate and regional loyalty. For us, this means taking responsibility for people and the environment,鈥� Harting says. 鈥淲e鈥檙e not only shaping a livable planet for our future generations, we鈥檙e making the future possible. We want to shape the future with technologies for people.鈥�

The HARTING Technology Group continues to drive meaningful change, connecting business success with a greener future and aligning family ideals with sustainability goals.

HARTING at the 2025 麻豆原创 Innovation Awards

All of these efforts did not go unnoticed: HARTING has long been recognized as a pioneer in sustainability. This year, it won an , leveraging 麻豆原创 Responsible Design and Production to create 85% of its plastic packaging material from recycled materials.

This article first appeared on the German 麻豆原创 News Center.