Instead, they immediately encounter friction. They鈥檙e asked to repeat information they鈥檝e already shared across multiple channels and departments. Then they see an offer for the item they just purchased, rather than something similar or new. And when they encounter an issue down the line, customer support doesn鈥檛 recognize their history.

Micro moments like these do not feel minor to customers anymore. They feel inexcusable. Customer expectations have changed faster than most brands can keep up. Customers now assume brands know who they are, what they need, and what鈥檚 happening right now. And they expect brands to act on that knowledge instantly.

At the same time, businesses are embracing a new era of AI. Dubbed “agentic AI,” it represents a paradigm shift where AI doesn鈥檛 just analyze or recommend products, but increasingly plans, decides, and acts through a network of agents. This creates a massive opportunity for customer experience (CX) leaders today, in particular marketers, who, according to McKinsey, are leading in AI adoption amongst business functions. But it also raises the stakes.

Because when AI moves faster than your data, systems, and processes, it exposes everything that鈥檚 broken. That tension鈥攂etween rising expectations and disconnected reality鈥攊s exactly what 麻豆原创 and Google Cloud are addressing together.

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The marketer鈥檚 reality: ambition outpacing execution

According to recent , more than half of marketers say fragmented or outdated data prevents them from acting in the moment. Insights arrive too late. Activation requires manual stitching across tools. And even the best strategies stall before they ever reach customers.

It is clear that most organizations genuinely want to deliver great customer experiences. But fragmentation is what stands in the way of delivering connected, meaningful engagements.

On one side: Customers expect effortless, relevant, and real-time experiences. On the other hand, organizations still operate with fragmented data, siloed teams, and delayed insights.

Our latest reveals that customers are increasingly frustrated: 45% say brands can鈥檛 keep up with changing expectations, and 44% say interactions feel less personal than before.鈥�

AI accelerating the engagement divide 

The disconnect between what customers feel and what businesses believe is the “.” Customer signals live across disconnected systems. Data arrives late or without context. Execution happens separately from insight. And while customers feel this friction immediately, many companies do not realize how disconnected their experiences truly are in their customers’ eyes. Now, AI is accelerating this divide.

Agents can generate content, launch campaigns, and optimize engagement at unprecedented speed. But when those agents act on incomplete, outdated, or fragmented data, they only exacerbate inconsistency and poor customer experiences.

When talking to our customers, it鈥檚 clear that there is no shortage of ambition when it comes to AI. In our research, 78% of brands say AI will be integral to their customer retention efforts this year. But only 46% of brands can connect their data in a way that is accessible to power AI sustainably.

The real challenge for CX leaders today is ensuring that AI has the right foundation: trusted data, unified context, and direct connection to execution.

New model for engagement built on trusted enterprise data

麻豆原创 and Google Cloud are expanding their partnership to enable a fundamentally different approach to marketing execution, one grounded in trusted enterprise data and real-time signals, accelerated with multi-agent coordination, and delivered at scale through 麻豆原创 and Google鈥檚 customer engagement solutions.

麻豆原创 provides both operational truth for elements such as inventory, orders, and fulfillment status, and deep customer knowledge across customer experience interactions. Google Cloud brings additional real-time signals and analytics, along with advanced AI. Combined, they create a shared, real-time understanding of the customer, grounded in business and situational context.

At the heart of this partnership:

• 麻豆原创 Business Data Cloud (麻豆原创 BDC) connects semantically rich data across the enterprise with AI to enable real-time insights and drive personalized interactions grounded in business context. This includes 麻豆原创 Business Data Cloud Connect for Google BigQuery.
• Google BigQuery unlocks real-time signals across the Google ecosystem, such as geolocation, weather, and rich analytics, through bidirectional, zero-copy data access with 麻豆原创 BDC, while ensuring enterprise-grade governance and security.
• 麻豆原创 Customer Experience applications provide the real-time behavioral context 鈥� customer profiles, transactions, orders, service interactions, and consented engagement data.
• 麻豆原创 Engagement Cloud activates enterprise data and AI insights and predictions to securely orchestrate real-time, personalized interactions across the entire customer life cycle.

With these innovations, marketers can finally move from insight to execution automatically.

To realize the full potential of agentic AI, businesses need their systems to speak the same language. By uniting 麻豆原创’s enterprise data and customer engagement platform with Google Cloud’s AI, we鈥檙e enabling marketers to move beyond simple automation to multi-agent orchestration, driving dynamic campaigns that reason and adapt to market shifts in real time.

Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud

From prompt to performance: how agents work together for marketing

Another critical element of this new execution model is agent interoperability. Gemini Enterprise acts as a central hub for multi-agent coordination, enabling  customers鈥� agents to securely exchange context and take action across platforms. Meanwhile, Joule acts as the engagement layer within 麻豆原创 applications, executing tasks, orchestrating campaign and content workflows, and optimizing marketing outcomes. Working together, 麻豆原创 and Google are enabling true multi-agent orchestration connected to trusted enterprise data.

Within this broader CX transformation, 麻豆原创 Engagement Cloud is where agentic intelligence becomes operational for marketing teams. It is the environment where enterprise signals, generative media, and AI agents translate into real customer interactions and automated lifecycle journeys.

Advanced generative capabilities powered by Google Gemini models, for example, Nano Banana 2, introduce new agentic skills that help CX teams dynamically generate messaging, imagery, and campaign variations. Through assistants and agents in Joule, these capabilities become embedded directly into marketing workflows, allowing brands to adjust tone, localize content, and respond instantly to changing conditions.

It is not just content generation and personalization that are being rewired. With unified data context and interoperable agents, mobile messaging can turn into immersive conversational experiences with Google Rich Communication Services (RCS) and advertising audiences, and creative, which can continuously evolve based on real-time performance and business signals, transforming campaigns into intelligent, self-optimizing systems.

And through this multi-agent network, marketers will not need to build every step of a campaign manually. Instead, they define the goal, gain more time to focus on strategy and creativity, and let agents handle the rest.

For example, a marketer can prompt:

• 鈥淚ncrease repeat purchases from customers in the last 30 days.鈥�
• 鈥淢aximize customer lifetime value while reducing campaign operational costs.鈥�

And from there:

• Joule Agents coordinate content production, grounded in customer and enterprise data, understand business context, customer history, and constraints
• Google鈥檚 Gemini Models and agents generate creative variations, messaging, and channel-specific content
• Agents collaborate across 麻豆原创 and Google Cloud to personalize, activate, and continuously optimize campaigns in real time across engagement channels and media networks

This is more than a data integration. It鈥檚 a leap forward for AI agents that can collaborate naturally and execute seamlessly. By combining 麻豆原创 Business Data Cloud Connect for Google with interoperable AI agents across 麻豆原创 and Google, we鈥檙e giving organizations a path from AI experimentation to AI-empowered customer experience at scale. Marketers can spend less time on manual tasks and more time shaping the customer journey.

Balaji Balasubramanian, President and Chief Product Officer, 麻豆原创 Customer Experience and Consumer Industries

Clear business outcomes for marketing teams

By enabling a network of interoperable AI agents and grounding them in enterprise data and shared context across 麻豆原创 and Google, organizations can achieve measurable outcomes, including:

• Faster speed-to-market through autonomous campaign and content generation
• Lower operational overhead by eliminating manual execution steps
• Always鈥憃n optimization that continuously improves performance
• Higher ROI through relevant, timely, and consistent engagement at scale

Marketers can spend less time managing workflows and more time shaping strategy, creative direction, and customer value.

Beyond campaigns: continuous engagement at enterprise scale

While marketing is a natural starting point, this is just the beginning. Customer engagement does not live in one system or team. Engagement spans commerce, service, sales, supply chain, and operations. A brand promise made in a message must be fulfilled by inventory. A personalized offer depends on pricing, availability, and delivery. And a single customer service interaction can shape the future of customer loyalty and lifetime value.

This multi-agent model is designed to support high-value use cases across the 麻豆原创 Customer Experience portfolio, laying the foundation for an AI-driven customer experience powered by trusted, unified, real-timedata.

In an AI-driven world, customer experience goes beyond any single interaction鈥攊t’s defined by every touchpoint a customer has with your company.

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

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

From AI insight to AI in execution

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

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

Orchestrating the supply chain end to end with AI

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

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

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

New AI agents redefining planning, service, and operations

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

Manufacturing

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

Assets & services

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

AI agents advancing logistics execution

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

Aligning workforce, logistics, and assets in real time

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

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

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

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

Regulatory readiness and what鈥檚 next

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

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

See it live at Hannover Messe 2026

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

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

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

AI alone is no longer a differentiator: What matters is where intelligence鈥痮perates鈥痠nside of a business. As demand volatility increases, fulfillment windows tighten, and customer expectations鈥痳ise,鈥痮rganizations need more than insights or task鈥痑ssistance. They need intelligence inside quotes, product content, service interactions, and campaigns, guiding decisions as they happen and continuously adapting as conditions change.

This shift lays the foundation for a new generation of executional AI, where capabilities evolve from supporting users to actively鈥痬onitoring鈥痜lows,鈥痑nticipating鈥痳isk, and over time acting as intelligent agents within core customer-facing processes.

With the Q1 2026 release of鈥� solutions, 麻豆原创 advances this shift by bringing AI closer to day-to-day customer-facing execution across sales, service, commerce, and engagement. Intelligence now operates closer to where outcomes are realized鈥攈elping organizations protect revenue, reduce friction, and deliver consistent, trusted experiences at scale.

Below, explore more of the highlights from the Q1 2026 release. And for full sub-solution details, see recaps for听,听,听,听, and听.

Optimize revenue streams with confidence

Revenue becomes more reliable when customer intent is captured early and executed consistently across sales and commerce workflows. The execution depends on speed and accuracy: accurate product information, relevant content, and seamless handoffs from inquiry to quote creation. When these are disconnected, teams face delays, manual rework, and missed revenue opportunities.

From customer inquiry to executable quote

• Email to quote with AI:鈥疉utomatically add SKUs from a deal using opportunity and email data with the Microsoft Outlook add-in for 麻豆原创 Sales Cloud. Users can choose to generate a quote, and the quote is quickly created in 麻豆原创 Sales Cloud in just a few clicks. After review, sellers can hit send; it is that easy.  
• Deep research: Accelerate account planning and reviews by synthesizing 麻豆原创 Sales Cloud and 麻豆原创 Service Cloud data with external market intelligence. For example, the deep research capability can deliver a detailed brief that can be used to better understand the account, their industry, and other crucial information like news and SWOT. Sellers will be able to engage prospects and buyers more effectively while customers will have more relevant and personalized information delivered.  
• Media attachments for product descriptions: Use AI to extract details from product documents, such as manuals, spec sheets, and PDFs, and automatically generate or enrich product descriptions in 麻豆原创 Commerce Cloud. This accelerates catalog updates and improves product data quality so that shoppers, search engines, and agentic commerce are rich with the most accurate product descriptions鈥攅nsuring product descriptions are detailed, differentiated, and discovered.

Delivering鈥痳别濒颈补产濒别鈥痵ervice at鈥痵肠补濒别

• Digital Service Agent handoff鈥痜or case creation: Connect every step of the service journey from conversational AI self-service to field resolution so service teams can resolve customer issues鈥痜aster and provide personalized service engagements that build trust.鈥疷sing conversational cues, Digital Service Agent鈥痵ummarizes intent identification for ticket creation while capturing essential information required for handoff to underlying solutions like 麻豆原创 Service Cloud.
• : Give service teams a single, real-time command center in 麻豆原创 Service Cloud, consolidating cases, tasks, and service orders into one view with visual workload insights so agents can prioritize faster, stay on top of commitments, and resolve more issues per day. 
• Retail Intelligence (麻豆原创 Early Adopter Care): Announced at NRF, Retail Intelligence provides one closed-loop, AI-enhanced retail supply chain planning environment that ties together planning, execution, and engagement. The result: human and agentic teams that don鈥檛 just execute tasks but reshape strategies, reimagine retail supply chain planning, and master autonomous growth and lasting differentiation.
  Learn more at the session.

Orchestrating engagement across the customer life cycle

Customer engagement spans browsing,鈥痯urchasing, fulfillment, and service across multiple channels. 麻豆原创 CX connects engagement directly to operational context.鈥�&苍产蝉辫;

• delivers鈥痯ersonalized, AI-personalized communications and interactions across every channel powered by connected customer and operational data all fully integrated across 麻豆原创. Teams鈥痗an鈥痙eliver consistent, intelligent engagement that builds loyalty and drives鈥痓usiness鈥痠mpact.

• :鈥疎xtend conversational analytics to SMS campaigns. A new data context model narrows analysis to the right dataset, returning faster, more precise answers to natural language questions, such as 鈥淲hat was SMS revenue last month?鈥�

• :鈥疨redictively鈥痠dentify鈥痗ontacts鈥痺ho are鈥痩ikely in the next鈥�30 days to engage,鈥痓ecome inactive, or remain inactive,鈥痵o marketers can target outreach鈥痺here it will deliver the strongest results.鈥��&苍产蝉辫;

Accelerate transformation鈥痺颈迟丑鈥痶丑别鈥痑dvanced success plan鈥痜or 麻豆原创 CX

To鈥痑ssist鈥痗ustomers鈥痮n their鈥痶ransformation鈥痡ourneys, 麻豆原创 launched the new Advanced Success Plan in the鈥�. This will鈥痟elp customers increase the value of individual applications, accelerate cloud transformation across 麻豆原创 Business Suite,鈥痑nd enable consistent adoption of new innovations and 麻豆原创 Business AI.

With expanded coverage with additional 麻豆原创 CX solutions, including and , the advanced offering is comprised of three powerful elements:

• Success expert: Regular 麻豆原创 expertise driving strategic customer outcomes
• Adoption guidance: Structured, AI-driven enablement accelerating adoption
• Activation and optimization services: Hands-on services to maximize performance and impact

Check out the鈥痺ebinar鈥痶o learn how the new service offering unlocks more of the transformative value of 麻豆原创 solutions:鈥�.

Intelligence where execution happens鈥�&苍产蝉辫;

With 麻豆原创 Customer Experience, AI moves beyond isolated鈥痑ssistance鈥痶o鈥痮perate鈥痙irectly within business execution flows. Intelligence is embedded where work happens鈥攊nside quotes, product content, service interactions, and campaigns鈥攈elping organizations respond in real time and deliver consistent customer outcomes at scale.

Learn more about 麻豆原创 CX in Q1鈥�2026鈥�&苍产蝉辫;

Read the 麻豆原创 Help documentation to get started with these new capabilities.鈥�&苍产蝉辫;

Balaji Balasubramanian is president and chief product officer for 麻豆原创 Customer Experience and Consumer Industries.鈥�

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, 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 .

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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%.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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 .

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

With the听听1H鈥�2026 release,听we鈥檙e听deepening those connections across the HR lifecycle. This release focuses on听four听core priorities:听connected,听suite-wide听AI; unified experiences that adapt to how organizations work;听processes designed for clarity, accuracy, and compliance; and stronger foundations for skills and long-term growth.听Together, these innovations help organizations听anticipate听needs earlier, reduce friction in daily work, and move forward with greater confidence.听

Connected AI that works across HCM

AI in HR delivers the greatest impact when it works continuously across the entire workforce lifecycle鈥攏ot as isolated features, but as connected capabilities that share context and insight.

The 1H鈥�2026 release expands听suite-wide听agentic AI听across 麻豆原创 SuccessFactors solutions, helping听employees听get clearer answers, act sooner, and keep听work moving听across roles and responsibilities.听A connected network of听听now supports areas such as recruiting, workforce administration, payroll, learning, performance, and talent development鈥攚orking together behind the scenes to help听anticipate听next steps and surface relevant guidance.

This release also introduces a growing听workforce knowledge network, bringing trusted external expertise and research directly into the flow of work through Joule.听Teams can now access expert-backed global employment guidance and听research-driven听insights without leaving their workflows鈥攕upporting听faster, more听confident decisions.

To听further听support learning in the flow of work,听intelligent Q&A in听听now helps employees find information more easily. AI听can deliver instant,听context-aware听responses drawn directly from an organization鈥檚 learning content,听along with relevant links and resources,听so employees can get answers quickly without searching through courses or documentation.听

Unified experiences that adapt to how work gets done听

As HR听tasks听become more embedded in听day-to-day work, experiences need to feel intuitive, connected, and responsive听wherever work happens. In the 1H 2026 release,听麻豆原创 SuccessFactors solutions continue to unify experiences across the suite, giving employees, managers, and HR teams what they need听in听the moment.听

• Connected recruiting and onboarding:听Native integration between听 solutions, , and听听can bring AI-enabled听recruiting, core HR, and onboarding together into a single, continuous experience, helping hiring teams move faster while听maintaining听consistency from candidate through new hire.听

• Tailored experiences,听built faster:听The new听extensibility wizard听can provide guided, step-by-step support for creating custom extensions on听听(麻豆原创 BTP) directly within听麻豆原创听SuccessFactors solutions, making it easier to adapt experiences to unique business needs while preserving governance.听
• Simpler, clearer employee moments:听A redesigned, configurable 401(k) experience听in听听for U.S.听employees helps simplify enrollment and management by clearly explaining employer contributions and guiding deferrals and beneficiary setup, helping employees make informed decisions with confidence.听

Processes designed for clarity, accuracy, and compliance听

In the 1H鈥�2026 release, 麻豆原创 SuccessFactors introduces new capabilities that help organizations bring greater clarity and rigor to pay practices.

With听pay听transparency insights听in the , organizations can analyze compensation patterns and potential pay gaps, supporting transparent, data-driven pay practices in-line with evolving regulatory expectations,听including in the EU.听

Skills governance听for sustainable growth听

Preparing for听what鈥檚听next requires trusted, consistent skills data that organizations can rely on across HR, talent, and workforce planning.

In the 1H鈥�2026 release,听we are听strengthening听the听听with enhanced听skills governance, providing a centralized interface to help manage skills, apply governance standards, and ensure alignment across 麻豆原创 SuccessFactors solutions and partner applications. This helps organizations improve听skills听data quality, maintain consistency at scale, and make more confident,听skills-based听decisions.听

A connected foundation for the future 

This听release听reinforces听麻豆原创鈥檚 continued focus on an intelligent, connected HCM听foundation鈥攐ne designed to evolve with your organization and support confident decisions at every stage of work. By bringing together data, AI, and experiences across the HR lifecycle, these听enhancements help organizations reduce friction today while听laying听the groundwork for听tomorrow.

To explore what鈥檚 included in this release, check out the or watch the overview .

Bianka Woelke is group vice president and head of Application Product Management for 麻豆原创 SuccessFactors.

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.

Once closed, the acquisition will strengthen 麻豆原创 Business Data Cloud (麻豆原创 BDC)鈥攊ntegral for 麻豆原创’s AI-First and Suite-First strategy鈥攁nd accelerate the evolution of 麻豆原创 BDC to a fully interoperable enterprise data platform for enterprise-wide agentic AI. It will provide customers with the tools they need to unify, cleanse and harmonize data across sources for superior enterprise-wide agentic AI.

“Reltio is a natural fit with 麻豆原创,鈥� said Muhammad Alam, member of the Executive Board of 麻豆原创 SE, 麻豆原创 Product & Engineering. 鈥淎cquiring them will further improve our position as a leading business AI provider, combining 麻豆原创 and non-麻豆原创 data to deliver data context that business AI requires. AI cannot reach its full potential when data is fragmented across business units, platforms and domains without connection or context.鈥�

By integrating Reltio after closing the acquisition, 麻豆原创 will make customers’ enterprise data fully AI-ready. Customers will be able to rely on trusted, high-quality data across 麻豆原创 and non-麻豆原创 sources that Joule and Joule Agents use to deliver faster time-to-value for business AI.

Reltio鈥檚 platform helps organizations manage and govern structured and unstructured enterprise data from start to finish. Its AI-based entity resolution identifies and merges related records from different formats and applications into one reliable 鈥済olden record鈥� system of context. Its cloud-native, AI-first design supports a single, consistent view of customers, products, suppliers, locations and employees across both 麻豆原创 and non-麻豆原创 applications. Customers running AI tasks will benefit from increased reliability and consistency of data, bundled in a single source of truth, improving business AI. With that, customers can trust that AI results are correct, and AI-interactions are resolved fast.

鈥淛oining forces with 麻豆原创 presents a tremendous opportunity for us to accelerate our mission,鈥� Reltio Founder and CEO Manish Sood said. 鈥淓nterprise AI needs trusted context that is open and interoperable across the heterogeneous IT landscapes our customers run. This combination accelerates our ability to deliver Reltio as the system of context across 麻豆原创 and non-麻豆原创 environments, while maintaining continuity for our customers and our partner ecosystem.鈥�

Reltio’s data cleansing, unification capabilities and agent-driven workflows will work alongside 麻豆原创 Business Suite applications to improve decisions, reduce integration complexity and deliver trusted, consistent data critical for successful business processes and AI use cases. Low latency delivery and support for the Model Context Protocol (MCP) enable real-time, multiagent workflows across 麻豆原创 and non-麻豆原创 environments, allowing AI agents, such as a procurement agent, to assess supplier risk and trigger actions almost instantly using trusted, real-time data. Reltio offers prebuilt, industry-specific 鈥渧elocity packs鈥� that include data models, rules, matching logic and integrations, and solutions tailored to sectors like life sciences, healthcare and financial services.

By integrating Reltio after closing the acquisition, 麻豆原创 intends to accelerate its customers’ ability to govern and expose master data as trusted and context-rich data products across multiple sources that serve both traditional analytics workloads and AI agents. Reltio will become a core capability within 麻豆原创 BDC, with a flexible commercial model where customers can purchase Reltio as a separate solution or with other 麻豆原创 products. The Reltio portfolio will also remain available as a standalone offering for the foreseeable future.

The transaction is expected to close in Q2 or Q3 of 2026, subject to customary closing conditions, including regulatory approvals.

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About Reltio

Reltio is a leader in data unification and management, delivering cloud-native, AI-native master data management (MDM) to help enterprises create trusted data and unlock context intelligence for analytics, automation, and agentic AI. Designed for complex, multi-vendor environments, Reltio helps organizations unify, cleanse, harmonize, govern, and activate core data from multiple sources in real time鈥攁cross 麻豆原创 and non-麻豆原创 systems. The Reltio Data Cloud uses advanced entity resolution, continuous data quality, and relationship intelligence within an intelligent data graph to connect data across systems and reveal the full context behind customers, products, suppliers, and other key business entities. This enables organizations to reduce data friction, improve operational execution, and accelerate time to trusted decisions. For more information, visit .

About 麻豆原创

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

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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.
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This decision will help Haleon operate, scale and serve consumers in new ways by building stronger, more agile foundations for delivering its trusted everyday health products. It marks a significant milestone in Haleon鈥檚 transformation into a world-class consumer company.

鈥淒elivering a better consumer experience starts with strong foundations, and leading digital technology and infrastructure are at the heart of this,鈥� said Claire Dickson, Haleon鈥檚 chief digital and technology officer. 鈥淥ur latest partnership with 麻豆原创 is another important step in our journey to becoming a world-class consumer company. It will revolutionize how we operate, with AI-enabled systems driving faster, simpler, more integrated ways of working. This will allow our people to focus on what matters most鈥攕erving consumers and unlocking growth.鈥�

麻豆原创 Business Suite will drive the simplification and standardization of critical processes across Haleon鈥檚 global operations, enabling more integrated, automated end-to-end processes across diverse parts of the organization.

With clearer visibility across markets and more intuitive systems replacing fragmented workflows, the business can operate with greater speed, consistency and resilience. These improvements strengthen supply chain responsiveness, support innovation and help Haleon better respond to changing consumer needs. This enables Haleon to deliver trusted everyday health products at scale while strengthening collaboration with the healthcare professionals who recommend its products to consumers worldwide.

Haleon can drive greater business efficiencies by integrating core processes across finance, supply chain, HR and sales in one connected system with real-time data. By building AI into everyday work and embedding it within Haleon鈥檚 digital infrastructure and across its functions, teams can make better data-driven decisions and respond more quickly to changing consumer needs. The automation of routine work across multiple functions frees up employees鈥� time so they can focus on more strategic work that delivers value for the business and consumers while accelerating growth.

This digital transformation program builds on a long-standing relationship between the two companies, with the transition from Haleon鈥檚 current platform on 麻豆原创 ERP Central Component beginning later this year.

鈥淎I outcomes depend on connected processes and trusted data,鈥� said Peter Maier, 麻豆原创鈥檚 senior vice president for strategic customer engagements. 鈥淲ith 麻豆原创 Business Suite, Haleon is building an AI-ready foundation that embeds intelligence across the enterprise, helping simplify operations, improve resilience and scale innovation.鈥�

Haleon plans to adopt 麻豆原创 Cloud ERP applications with embedded AI and deploy the 麻豆原创 Business Data Cloud solution to harmonize 麻豆原创 software and third-party data in a governed, single source of truth. This connected platform will be able to support AI-assisted innovation and enable agentic AI, where AI agents can identify issues earlier and recommend actions across key business processes.

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Media Contacts:
Lawrie Benfield, 麻豆原创, +44 7776515259, lawrie.benfield@sap.com, GMT
Sonya Domanski, 麻豆原创, +44 7345465928, sonya.domanski@sap.com, GMT
麻豆原创 麻豆原创 Room; press@sap.com
Gemma Thomas, Haleon, gemma.x.thomas@haleon.com

The agreement referenced in this announcement was signed outside 麻豆原创鈥檚 first quarter reporting period.

Top image courtesy of Haleon

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.

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, .

We believe this recognition reflects our continued investment in a modern, scalable AI-ready integration platform that meets the needs of organizations operating across increasingly complex hybrid and multicloud landscapes.

Why orgnizations continue to choose 麻豆原创 Integration Suite

Part of 麻豆原创 Business Technology Platform (麻豆原创 BTP), 麻豆原创 Integration Suite brings together API management, event鈥慸riven architecture, process integration, and AI鈥慳ssisted development in one unified offering. It gives customers a reliable way to connect distributed systems, orchestrate workflows, and operate securely across hybrid and multi-cloud environments鈥攚hether those landscapes run primarily on 麻豆原创 solutions or a mix of third鈥憄arty applications.

By using metadata, events, and APIs as its backbone, the suite provides an integration foundation that supports AI agents and increasingly autonomous enterprise processes. Organizations in manufacturing, logistics, retail, and other highly regulated industries rely on this foundation to maintain performance and stay compliant at global scale.

Innovation that scales with your business

Over the past year, 麻豆原创 expanded its AI鈥慳ssisted capabilities to help customers move faster and operate with security and reliability. New AI-assisted features include anomaly detection, script optimization, traffic prediction, and integration鈥慺low generation. Combined with more than 4,000 prebuilt integration flows and over 250 connectors, organizations can accelerate design and reduce manual effort.

麻豆原创 Integration Suite now runs in more than 40 data centers worldwide, giving customers flexibility for in鈥憆egion processing and data鈥憇overeignty requirements. These enhancements help teams detect issues earlier, optimize performance, and shorten time鈥憈o鈥憊alue across complex hybrid landscapes.

Accelerating agentic AI adoption

Gebr.听Heinemann modernized its global retail checkout platform with 麻豆原创 Integration Suite and advanced event mesh, enabling the company to process 300,000 price鈥慶hange events in 30 minutes without system degradation.

“Advanced event mesh has completely changed the way integration and process orchestration run. Everything works better.”

Benedikt Althaus, team lead, Integration Services and Platform Solutions, Gebr. Heinemann SE & Co. KG.

Shimano Europe benefits from the efficient, scalable, and future鈥憄roof integration foundation of 麻豆原创 Integration Suite to accelerate its go鈥憈o鈥憁arket process. By streamlining integrations across systems, the company improves operational efficiency and enhances the overall customer experience through a more agile and reliable integration landscape.

“To accelerate the go-to-market process, we provided an effective and efficient integration platform with 麻豆原创 Integration Suite, a future-proof and scalable solution that improves our customers鈥� experiences.”

Fernanda Ribeiro, IT application architect, Shimano Europe

Siemens AG relies on 麻豆原创 Integration Suite to harmonize global reporting processes and ensure compliance with evolving regulatory requirements. By standardizing integrations across regions and supporting diverse country鈥憇pecific tax protocols, 麻豆原创 Integration Suite helps Siemens streamline compliance operations and maintain consistent reporting quality worldwide. This foundation strengthens Siemens鈥� ability to adapt to changing regulatory environments with greater confidence and efficiency.

“Managing international tax requirements is much easier. It will be implemented around the globe.”

Andrea Spandau, head of Digital Tax Ecosystem, Siemens AG

Looking ahead

We believe this year鈥檚 recognition underscores our commitment to advancing 麻豆原创 Integration Suite with deeper AI capabilities, more reusable business content, broader industry coverage, third-party adapters, and an improved developer experience. Our goal is to help customers automate more of their operations, innovate with confidence, and scale as their businesses evolve.

Learn more

Sid Misra is chief marketing officer for 麻豆原创 Business Technology Platform.

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.

With a diverse portfolio of brands鈥擪ito, Crosby, Harrington, Gunnebo Industries, Peerless, and eepos鈥攖he company has experienced rapid growth, scaling its business from millions to billions in revenue. But the number of acquisitions left the company with a fragmented IT landscape of outdated, unsupported, and unscalable systems.

To establish a unified digital core and standardize processes, Kito Crosby embarked on a journey, implementing 麻豆原创 S/4HANA Cloud Private Edition to achieve its long-term single global instance strategy.

A winning strategy

Kito Crosby chose a greenfield, clean core strategy to eliminate the existing fragmentation and enable long-term scalability, Johnson Lai, Chief Digital Transformation Officer and Chief Information Officer, . 鈥淚n the past, we did not integrate our ERP systems, and this left our IT landscape very fragmented and limited our business process capabilities,鈥� he said. 鈥淭herefore, we wanted to refresh all of our ERP systems and really lay down a greenfield start that we can begin to create a transformational change for the entire company.鈥�

Selecting a greenfield and clean core approach鈥攂asically standing up an entirely new system that prioritizes standard functionalities over customizations鈥攚as key to remedying Kito Crosby鈥檚 current technology landscape, so that processes like order to cash, accounting, manufacturing, and shipping could be integrated. This approach also allowed the company to take a close look at core processes and streamline operations, especially in warehouse management and S&OP, Lai said.

Considering the project scope, Kito Crosby did not have the internal talent needed to stand up the servers and infrastructure, so it decided to move forward with RISE with 麻豆原创 and . 鈥溌槎乖� comes with a lot of great stuff, and we wanted to take advantage of that,鈥� Lai said.

The company began the transformation in North America, as that is its largest market and therefore posed the greatest risk in operating on a legacy, unsupported ERP system.

Never underestimate change management

While Lai shared that employees were motivated and excited to get started initially, the enormity of the project quickly became overwhelming.

Ironically, many wanted to customize the new 麻豆原创 S/4HANA Cloud Private Edition solution to act like the legacy tech. 鈥淓veryone agrees to the clean core approach until it鈥檚 their turn to look at their function, at which point they want customization. There was a piece of resistance to using 鈥榲anilla鈥� functionality,鈥� Lai said. 鈥淥nce we showed people live demos with their own data, that鈥檚 when the change resistance started to decrease,鈥� he added.

In IT specifically, there was a strong desire to build and run their own infrastructure and servers rather than have another company step in. A sense of ownership and accountability is important, Lai said, but ultimately Kito Crosby鈥檚 need to get off the legacy system in North America quickly made it necessary to partner with 麻豆原创. And it was the right move: 鈥淣ow some of the folks who questioned why we outsourced some of that to 麻豆原创 are our biggest champions鈥e find working with the 麻豆原创 team is no different than working with ourselves.鈥�

For companies with digital transformation projects on the horizon, Lai cautions to 鈥渘ever underestimate the change impact that employees face.鈥� Projects of a global scale require planning on all fronts, including allocating time for employees and business leaders to get on board.

Lessons learned and benefits gained

The ERP system revamp delivered measurable business value to Kito Crosby, including improved customer service, stronger inventory control, and more efficient manufacturing and warehouse operations. Notably, the business process improvements and enhanced system functionality drove Kito Crosby鈥檚 on-time delivery to its highest levels in more than 10 years.

鈥淲e see that benefit across the globe and we鈥檙e excited about taking what we鈥檝e done in North America throughout the entire world, consolidating all those little ERPs that are outdated and unsupported into 麻豆原创 to get to that single global instance,鈥� Lai said. Since going live on 麻豆原创 S/4HANA Cloud Private Edition and fully embracing its native capabilities, Kito Crosby has unlocked measurable business value and operational excellence. The transformation has driven strong performance gains across critical KPIs, including higher customer on鈥憈ime delivery, meaningful reductions in back orders, improved inventory accuracy, and accelerated intercompany processing.

At the same time, warehouse operations are setting new benchmarks for efficiency, achieving record volumes for receiving and put鈥慳way, replenishment, and shipping. These results have been delivered safely, with zero injuries and fewer resources.

To the cloud鈥攁nd beyond

Following its recent acquisition by leading worldwide designer, manufacturer, and marketer of intelligent motion solutions , Kito Crosby is continuing to build on its strong digital foundation.

鈥淏ecause we started with a greenfield and kept a clean core as much as possible, we feel like the upgrades will go even faster and with less effort,鈥� Lai said. 鈥淲e want to get to the latest [麻豆原创 S/4HANA Cloud Private Edition] version so we can take advantage of the AI capabilities of .鈥�

Next on the ERP systems consolidation docket: the 麻豆原创 ERP Central Component (麻豆原创 ECC) 6.0 system in Europe.

鈥淭his is just one example of how our IT team is empowering the broader organization to further delight our customers and end user,鈥� Lai . 鈥淎s we continue to scale our business, we expect even greater returns as we further capitalize on the technology, expanded capabilities, and AI tools within our 麻豆原创 landscape.鈥�

Gillian Hixson is an integrated communications specialist at 麻豆原创.

麻豆原创 is expanding the Joule solution across 麻豆原创 Concur solutions and introducing new automation capabilities:

• A new integration between Joule and Microsoft 365 Copilot, now available, embeds travel and expense tasks into everyday productivity tools. Employees can create and submit expense reports, upload receipts, book travel and receive policy guidance in 麻豆原创 Concur solutions without leaving Microsoft applications.
• Two new Joule Agents further streamline expense compliance and reporting.
  • Expense Automation Agent automatically creates and populates expense reports for employees so all they have to do is review, refine and submit.
  • Expense Pre-Submit Audit Agent validates receipts and flags discrepancies before submission to reduce report rejection and reimbursement delays.
  • Both agents are currently available through the 麻豆原创 Early Adopter Care program with general availability expected later this year.
• New AI-based rule creation tools simplify the complex task of managing policy rules in the Complete by 麻豆原创 Concur and Amex GBT, Concur Travel and Concur Expense solutions.
• The 麻豆原创 Sales Cloud solution now integrates with Booking Agent to streamline workflows and enhance productivity for sales teams.

麻豆原创 Concur and American Express Global Business Travel (Amex GBT) , an AI-enabled codeveloped solution for booking, servicing, payments and expensing. New capabilities include AI-enabled travel support with handoff to a live travel counselor and a specialized home page for travel managers. Concur Expense also integrates with Amex GBT Egencia for customers worldwide.

Joint customers of 麻豆原创 Concur solutions and can now create and manage American Express Virtual Cards in Concur Expense, supporting employee spending with controls and added security. The virtual cards can also be used in Concur Travel. This capability is available now to select U.S.-based American Express庐 Corporate and Business customers using Concur Expense with availability for all such customers planned for Q3 2026.

麻豆原创 Concur teams up with Visa to integrate Concur Expense and Visa through the Visa Commercial Integrated Partner program. Initially, real-time notifications (RTN) from Visa card swipes will automatically create expenses in Concur Expense. This capability is planned to be available through 麻豆原创 Early Adopter Care in Q3 2026. 麻豆原创 Concur solutions will now support RTN from all major credit card networks.

Additionally, 麻豆原创 Concur solutions are advancing corporate travel with enhanced booking, expanded global access and intelligent traveler support. The new experience in Concur Travel supports guest bookings, expanded Cleartrip content in India and additional airline options. TripIt Pro adds Image to Plan with Apple Intelligence and expanded Risk Alerts to help travelers organize itineraries and monitor disruptions.

Learn about鈥痶丑别se or join the . 

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Media Contact:
Kelly Sheldon Murray, +1 (978) 708-6821,鈥�kelly.murray@sap.com, ET

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.

I鈥檓 pleased to announce that next鈥慻en 麻豆原创 Ariba is now available, marking the next phase in 麻豆原创鈥檚 journey to reimagine source鈥憈o鈥憄ay for the age of AI. This milestone represents the transition from announcement to execution, bringing a fundamentally rebuilt platform into customers鈥� hands.

This milestone comes alongside strong industry recognition. 麻豆原创 has been named a Leader in the 2026 Gartner庐 Magic Quadrant™ for Source鈥憈o鈥慞ay Suites, an acknowledgment that aligns with the delivery of next-gen 麻豆原创 Ariba and our continued focus on platform modernization and AI鈥慸riven innovation at enterprise scale.

Why rebuilding the foundation matters

As procurement leaders know, AI鈥檚 potential is widely recognized, but its impact has often been uneven. Confidence is high, yet results depend on more than algorithms alone. AI only delivers value when it is supported by the right data, processes, and platform architecture. That belief shaped our decision to rebuild 麻豆原创 Ariba from the ground up.

Independent analyst firm as 鈥渁 complete reengineering of the largest and most entrenched source鈥憈o鈥憄ay platform in the world,鈥� emphasizing that this move goes far beyond adding AI features to legacy systems. Instead, it establishes the architectural foundation required for AI to operate reliably and at scale.

This aligns with what we consistently hear from customers that sustainable impact requires modernization at the core.

An AI鈥憂ative source-to-pay platform built on 麻豆原创 Business Technology Platform

Next鈥慻en 麻豆原创 Ariba is built on (麻豆原创 BTP), providing a unified, real鈥憈ime data foundation across the source鈥憈o鈥憄ay lifecycle. This shift enables tighter integration with , improved extensibility, and faster innovation delivery.

By moving to 麻豆原创 BTP, 麻豆原创 Ariba can support open APIs, cross鈥憇uite data consistency, and the responsiveness required for intelligent, AI鈥慸riven procurement operations鈥攃apabilities that are increasingly expected of leading source鈥憈o鈥憄ay platforms but are difficult to achieve on legacy architectures.

Current next鈥慻en capabilities will continue to be delivered incrementally throughout 2026 and into 2027, giving customers flexibility to adopt innovation at a pace that aligns with their business priorities.

Embedded intelligence with Joule: moving from insight to action

A defining element of next鈥慻en 麻豆原创 Ariba is the deep integration of directly into procurement workflows. Rather than treating AI as an optional add鈥憃n, next鈥慻en 麻豆原创 Ariba can embed intelligence where work happens鈥攕upporting faster, more informed decisions while reducing friction across everyday processes.

Early capabilities include:

• A Bid Analysis Agent, which can automatically evaluate complex bid scenarios, including total cost considerations
• AI-assisted contract support to help automate routine inquiries, generate summaries, and provide instant access to contract details

These capabilities reflect a broader shift from systems that require constant manual input to platforms that actively support outcomes.

A more unified, intuitive procurement experience

Next鈥慻en 麻豆原创 Ariba also addresses long鈥憇tanding fragmentation across the source鈥憈o鈥憄ay lifecycle.

Key improvements include:

• 麻豆原创 Ariba Intake Management, now globally available, providing a single entry point for procurement requests
• A simplified 麻豆原创 Fiori鈥慴ased user experience, delivered through a central launchpad
• A modernized contract lifecycle, supported through integration with Icertis Contract Intelligence

Together, these improvements are designed to make procurement easier to engage with while working to ensure processes remain connected, compliant, and intelligent behind the scenes.

What this means for customers

For existing 麻豆原创 Ariba customers, next鈥慻en 麻豆原创 Ariba provides choice and continuity. Customers can:

• Transition to next鈥慻en 麻豆原创 Ariba on a voluntary basis.
• Access next鈥慻en capabilities without commercial implications.
• Run current and next鈥慻en environments in parallel during an active transition, reducing risk and disruption.

麻豆原创 is providing tools, services, and advance timelines to support a managed transition, allowing organizations to move forward with confidence rather than urgency.

The foundation for what comes next

Next鈥慻en 麻豆原创 Ariba is not an endpoint, it is the foundation for the future of procurement.

With an AI鈥憂ative architecture, embedded agentic intelligence, and a unified user experience, this new generation of 麻豆原创 Ariba helps organizations move beyond transactional efficiency toward smarter decisions, greater resilience, and measurable business outcomes.

As Ardent Partners observed, this rebuild has the potential to act as a catalyst鈥攏ot just for 麻豆原创 Ariba customers, but for the broader procurement technology landscape. By combining scale, data, and AI in a fundamentally new way, next鈥慻en 麻豆原创 Ariba is helping define what modern source鈥憈o鈥憄ay platforms can deliver.

With the solution now available, we look forward to partnering with customers as they move from vision to value. Together, we can shape the future of intelligent procurement.

Baber Farooq is senior vice president of Product Marketing for 麻豆原创 Ariba and 麻豆原创 Fieldglass.

From energy sharing and dynamic pricing to cloud-native and interoperable flexibility markets, the solution can connect meters, markets, and customers to enable business models such as energy communities, virtual power plants, and demand response. Combined with a curated ecosystem of specialist technology partners, 麻豆原创 empowers utilities to own their energy transition.听

The energy transition runs on data, but data is getting harder to manage 

The energy transition is reshaping the power landscape. Utilities are evolving from centralized generation toward systems powered by millions of distributed energy resources: solar panels, EV chargers, heat pumps, and batteries owned by consumers and听prosumers听alike. The number of connected assets is growing rapidly, generating vast amounts of operational, commercial, and customer data. Managing this听data reliably and consistently is one of the defining challenges of the next energy decade.听

At the same time, digital energy platforms and new market entrants are intermediating the customer relationship, offering integrated propositions that bundle connectivity, flexibility, and billing into a single stack. Utilities that do not act risk being reduced to commodity providers.

To unlock the value of distributed energy resources, utilities need more than connectivity. They need听data orchestration:听a trusted, intelligent foundation that harmonizes听information across every process, partner, and device and ensures they听own rather than rent听their energy transition capabilities.听

From distributed assets to orchestrated intelligence 

The听麻豆原创 Distributed Energy Resources听solution is designed to听meet exactly听this challenge. Built on 麻豆原创 BTP, it enables utilities to manage distributed energy resources-related data at scale across production, consumption, and storage while helping to ensure reliability, performance, and consistency.听

Rather than acting as an operational control system, 麻豆原创 DER focuses on data orchestration and integration. It helps ensure that distributed energy resources data can flow seamlessly between operational, commercial, and analytical systems, providing a single source of truth that can connect the physical and digital worlds of energy. 

鈥淭he complexity our customers face with prosumer data is exponential. They need reliability, performance, and consistency across all their data sources, and that鈥檚 exactly where 麻豆原创 Distributed Energy Resources comes in.鈥� 

Kim Maren Ekrutt, Global Industry Business Unit Utilities Co鈥慔ead, 麻豆原创 

Two pillars of the 麻豆原创 DER solution 

1. Complex installation and prosumer data orchestration: technical and commercial foundation

Manage the full spectrum of prosumer-related data, covering both complex technical installation details, such as meters, solar panels, batteries, EV chargers, and heat pumps, and the commercial information required to operate distributed energy resources at scale. This includes customer and prosumer master data, product structures, tariffs, contracts, grid connection agreements, feed-in contracts, and all commercial relationships linked to each installation. 

By bringing together technical asset data with commercial attributes and agreement information, the solution can provide a unified and reliable model of every installation. This is essential because distributed energy resources cannot be managed with technical information alone. Commercial products, grid contracts, flexible tariffs, and incentive agreements determine how energy flows are measured, settled, billed, shared, or monetized. 

This pillar becomes the foundation for energy communities, virtual power plant participation, flexibility programs, dynamic pricing, capacity and congestion management, and any business model involving prosumers and distributed energy assets. 

2. Energy management and sharing 

Track and analyze听how energy is consumed, produced, stored, and shared, enabling new energy community and peer-to-peer听business models. With high-resolution energy data and intelligent allocation algorithms, utilities can offer transparent, fair, and regulation-compliant energy sharing services to residential and commercial participants alike.听

Connecting data, processes, and people 

Utilities already rely on 麻豆原创 for mission-critical processes such as meter to cash, asset management, and customer experience. 麻豆原创 DER can extend this foundation, linking every asset, agreement, and customer interaction within one coherent data model. This integrated approach helps turn technical data into business value, powering use cases such as smart tariffs, dynamic pricing, and energy sharing. For utilities, this means a single enterprise backbone that can connect the traditional meter-to-cash world with the emerging flexibility and distributed energy resources economy. 

A partner ecosystem for the energy flexibility market 

No single vendor can address the full breadth of the distributed energy landscape. 麻豆原创 has assembled a curated ecosystem of specialist technology partners, each bringing deep domain expertise that complements 麻豆原创鈥檚 enterprise data platform. Data stays with the utility, business logic听remains听under their control, and the customer relationship belongs to them.听

麻豆原创鈥檚 technology partners extend the platform across six critical domains: 

• Flexibility management and virtual power plants:听Orchestrate and monetize听prosumer听assets, including EVs, batteries, heat pumps, and solar inverters, for flexibility markets and smart charging services.听
• Energy communities and energy sharing:听Design and听operate听energy communities with transparent allocation, dynamic local pricing, and full regulatory compliance.听
• Grid congestion and capacity management:听Forecast, detect, and resolve grid congestion at the low-voltage-network-level while unlocking flexibility revenues.听
• Energy portfolio management and trading:听Access wholesale and flexibility markets with听real-time听pricing, dynamic quotations, and risk management.听
• Customer insights and energy disaggregation:听Deliver behind-the-meter visibility through non-intrusive load monitoring and appliance-level analytics.听
• Demand response and load management:听Design and execute demand response programs, combining customer incentives, dynamic pricing, and automated device control.听

鈥淥ur role is to help utilities master the growing data complexity and turn it into opportunity. With 麻豆原创 Distributed Energy Resources and our partner ecosystem, we鈥檙e connecting data, processes, and partners into one intelligent platform that enables utilities to own their energy transition.鈥� 

Kim Maren Ekrutt, Global VP & Co-Head Industry Business Unit Utilities

About 麻豆原创 Distributed Energy Resources 

麻豆原创 Distributed Energy Resources provides utilities with a public cloud platform to help model, manage, and share distributed energy resources data across operational and commercial domains. Integrated with 麻豆原创鈥檚 core utilities portfolio and a curated global partner ecosystem, it can enable reliable data exchange, smart energy management, and customer-centric innovation for the distributed energy era.听

Mateu Munar is senior director of Industry Business Unit Utilities at 麻豆原创.

These critical pre-purchase moments generate interest and open pathways toward deeper customer relationships. Organizations that convert interest into measurable outcomes with clarity, accuracy, and speed strengthen the overall customer experience, thereby boosting loyalty and bottom lines.

CX becomes even more meaningful as opportunities progress into clear agreements supported by accurate configuration, pricing, and quoting. This transition from opportunity to agreement represents one of the most consequential stages in the customer journey.

Lead-to-cash represents a coordinated motion across sales engagement, pricing precision, service alignment, and performance visibility. When these capabilities operate together, organizations deliver consistent customer experiences while maintaining operational clarity.

Eight years running: a leadership signal at the heart of lead-to-cash

Within the lead-to-cash journey, quoting connects sales engagement, performance management, service continuity, and ERP alignment. It represents a critical moment where customer intent is translated into accurate pricing, configuration, and agreement terms.

When 麻豆原创 CPQ operates within 麻豆原创 Customer Experience, it becomes part of a connected lead-to-cash motion that spans 麻豆原创 Sales Cloud, 麻豆原创 Service Cloud, sales performance management solutions, and 麻豆原创 ERP. Sales teams engage with structured opportunity data and guided pricing logic. Service teams inherit full visibility into agreed terms. Performance leaders access insights grounded in accurate pipeline and quoting data.

When it comes to this level of intelligent, real-time, connected processes, very few companies can compete. 麻豆原创 was again recognized as a Leader in the 2025 Gartner庐 Magic Quadrant™ for Configure, Price, and Quote Application Suites. This marks the eighth consecutive year 麻豆原创 has been positioned in the Leaders quadrant based on Ability to Execute and Completeness of Vision.

麻豆原创 CPQ supports organizations in producing accurate quotes — even in environments with advanced configuration and pricing requirements — helping accelerate sales cycles and improve sales execution across complex selling environments.

Extending CPQ leadership across 麻豆原创 Customer Experience

In modern enterprises, quoting connects directly to demand generation, pipeline management, contract processes, fulfilment, and service delivery. brings together commerce, customer data, marketing, sales, service, and sales performance management into an integrated portfolio designed to support truly connected customer journeys.

Within this portfolio, 麻豆原创 CPQ plays a pivotal role in the lead-to-cash journey. When integrated with 麻豆原创 CX solutions, it helps align pricing strategy, product configuration, customer agreements, and sales performance insights across the revenue lifecycle. The result is a more reliable transition from opportunity to revenue realization.

Connected lead-to-cash experience

For CX leaders, lead-to-cash is a core driver of experience differentiation and revenue execution. A connected lead-to-cash strategy ensures that:

• Customer intent is translated into accurate configuration and pricing.
• Sales engagements reflect approved pricing and product standards.
• Customer agreements are consistently captured and supported across systems.
• Sales performance and revenue outcomes remain visible and aligned across teams.

Business impact of connected lead-to-cash

Lead-to-cash determines how consistently organizations translate customer engagement into measurable outcomes.

By combining 麻豆原创 Customer Experience capabilities with a CPQ solution recognized for its ability to execute and completeness of vision, organizations strengthen alignment across sales, pricing, service, performance management, and ERP systems, transforming engagement into measurable outcomes with confidence and precision.

In today鈥檚 environment, customer experience and operational precision are closely connected. Strength in one reinforces performance across the other.

You can learn more about how 麻豆原创 CX connects 麻豆原创 Sales Cloud, 麻豆原创 CPQ, 麻豆原创 Service Cloud, sales performance management solutions, and 麻豆原创 ERP across the lead-to-cash journey .

Sindy Conway is senior Product Marketing consultant for 麻豆原创 Customer Experience.

Founded in 1917, the is comprised of 32 Clubs located across North America. It serves a global fan base of nearly 700 million annual spectators across in-arena, broadcast, and digital channels. With millions of fans worldwide watching and Clubs fighting for any edge they can find, the NHL needed a future-focused way to manage critical decisions shaping the game.

To develop, maintain, and grow a roster within the salary cap system’s guidelines is no small undertaking, especially given the numerous variables that change in real time. While instituting the salary cap helps maintain evenly balanced teams that deliver thrilling games, it also contributes to a complex front-office balancing act, where every potential trade or player acquisition poses a mind-numbing array of opportunities and complications, short and long term.

Across the League, Clubs develop their own roster-management approaches, each using different tools and resources. No matter the variations among the solutions, they were mainly labor-intensive, disconnected systems, which meant that teams did not necessarily have access to real-time data, let alone reliable data, or an efficient means to access and analyze the data they did have.

The NHL, however, had a vision鈥攁 unified system that would consolidate player and League data into one platform accessible to all Clubs.

The 麻豆原创-NHL Front Office App for iPad delivers on that vision by providing a centralized view of the League, down to the team level, and drilling further into player data, enabling front offices to make more informed, real-time decisions with greater accuracy and efficiency.

First steps: consolidation and collaboration

Before the League could make that vision a reality, several obstacles needed to be resolved, starting with what , VP of Digital Business Development at the NHL, described as the League鈥檚 primary pain point: disconnected, legacy data management systems. Pascal Bornet, AI and automation expert, applauded this approach, advising organizations to 鈥渟tart with the friction points.鈥�

Phase one, Foster explained, was 鈥渞eally updating our backend,鈥� consolidating all the League鈥檚 data, from contract to salary information, and combining it with player statistics and video clips on 麻豆原创 HANA Cloud.

Armed with a new database that would provide a seamless, fully connected single source of information for every NHL Club, the League was ready for its next challenge: creating a digital front-office solution that would meet the needs of 32 entirely different front offices, each with their own systems, priorities, 鈥渦se cases, day-to-day responsibilities, and current challenges with data or workflows,鈥� Foster explained.

The key to developing the League鈥檚 new application, Foster said, was leveraging 鈥渄esign-thinking principles鈥� and 鈥渁uthentic user feedback鈥� to create a single solution that would offer real added value to each user, from GMs to analysts to administrators, on each NHL team.

A power play digital solution

That disciplined, user-centered approach, combined with the NHL鈥檚 diligent attention to data consolidation, enabled the League to launch its 麻豆原创-NHL Front Office App for iPad in record time. While not mandatory, the app quickly proved its value and was rapidly adopted by all 32 Clubs. 

The app has already transformed day-to-day operations for Clubs, thanks to its ability to seamlessly access and interpret a single, reliable, and interconnected source of information on three different levels. The broadest level, the league view, offers data across the entire NHL, including current and projected salary caps for each club, off-season scenarios, and draft pick conditions; the team view breaks down the contracts of each player on the roster and provides visual cues for free agents or injured players; and the player view displays bios, contract PDFs, no-trade clauses, waiver status, performance bonuses, and even video clips of game highlights for every player in the League.

As Bornet said, 鈥淚t鈥檚 about the right data, instantly and everywhere.鈥� By rethinking the process first and prioritizing user needs, the League created a foundation for change鈥攐ne that keeps 鈥渉umans firmly in command鈥� and uses technology to 鈥渁mplify judgment, not replace it,鈥� Bornet added.

Foster attributed the new app鈥檚 resounding success to the processing power of (麻豆原创 BTP), which enables club-specific customizations and allows for real-time calculations to fuel mission-critical decision-making.

Playing the long game

The NHL and 麻豆原创 have a long-standing technology partnership that has powered several League-wide innovations, including NHL.com/Stats, the 麻豆原创-NHL Coaching Insights App, and NHL Venue Metrics. The Front Office App builds on this foundation and represents the next phase of the League鈥檚 digital transformation.

While the Front Office App is currently helping each NHL Club shape its team’s future, the League is continuing to look ahead. 鈥淭his is a project with a multi-year road map,鈥� Foster said.

As the NHL continues its innovation journey, it will remain laser-focused on user experience. Foster advised those looking to undertake their own digital transformation to take a page from the NHL鈥檚 playbook: 鈥淟et go of preconceived notions and realign your priorities according to user feedback. Be adaptable. Be fluid.鈥� And get excited, because 鈥渢he possibilities really are limitless.鈥�

That same approach, Bornet added, 鈥渁pplies far beyond Hockey.鈥� The NHL鈥檚 emphasis on identifying friction points and applying user-first design offers a practical template for any organization managing complex constraints and real-time decisions. Across industries, the challenge is the same: 鈥渢oo much data, too many variables, and decisions that can鈥檛 wait.鈥� The real breakthrough, he noted, 鈥渋sn鈥檛 the technology itself鈥攊t鈥檚 a mindset shift,鈥� from 鈥渁dding AI鈥� to 鈥渞emoving cognitive friction,鈥� and from 鈥渂uilding for power users鈥� to 鈥渄esigning for actual users.鈥�

Explore the episode, focused on the customer journey

Learn more about how the NHL engineered a game-changing, League-wide digital transformation:

• : Foster and Bornet talk with Thulium CEO Tamara McCleary about the untapped power of data, when it鈥檚 reliable, connected, and accessible, and how the NHL went from inspiration to iteration with the end users being essential to the transformation.

• : Foster听talks with me about听the process of creating a mobile app that听meets听the needs of 32听distinct听front offices, each with their own systems, use cases, day-to-day responsibilities, and priorities.

For five seasons on demand, visit .

Do you have ideas for topics or technologies we should cover, or would you like to be a guest on the show? We鈥檇 love to hear from you. E-mail us.

Timo Elliott is vice president and global innovation advocate for 麻豆原创 BTP at 麻豆原创.

A modern foundation for growth at global scale 

In an era defined by global volatility and ambitious growth targets, businesses require a system that doesn’t just record data but actively anticipates needs and simplifies complexity. 麻豆原创 Cloud ERP Private is evolving into a truly AI-enabled ERP, serving as the critical core foundation that can allow organizations to navigate the realities of global operations while maintaining total control over their footprint. 

To achieve this, innovations in FPS01 are strategically delivered across three key dimensions: AI, data, and applications. 

AI in action: from assistants to agents 

The shift toward an AI-enabled ERP is highlighted by two key advancements in FPS01: 

1. AI assistants and specialized agents: A standout in this release is the Change Record Management Agent for R&D. Previously a manual, high-friction process, this agent can now autonomously analyze change impacts and propose next steps, helping to free R&D teams to focus on innovation. 
2. Process embedded AI: 麻豆原创 is making the system more intuitive through Joule. Instead of navigating complex menus, users can now use conversational shortcuts, for example, to instantly search service contracts or extend expiring prices in sales, turning multi-minute tasks into five-second interactions. 

Looking at the road ahead, 麻豆原创 is building toward agent-to-agent collaboration, where specialized agents across functions like R&D and procurement “talk” to one another to resolve bottlenecks before they even reach a human user. FPS01 is a critical step toward that future. 

Data: industry-ready insights 

On the data front, 麻豆原创 is introducing specialized data products for key industries, like retail, and functional areas, such as asset management and services. These are not just tables; they are pre-configured, business-ready data sets that align with our 麻豆原创 Business Data Cloud (麻豆原创 BDC) roadmap. This helps ensure your data is “AI-ready,” allowing you to move from raw data to industry-specific insights with zero friction. 

Application: strengthening the global core 

On the application side, 麻豆原创 continues to deliver deep functional enhancements based on direct customer feedback to help ensure your business backbone remains agile. A key highlight is the new Multistage Intercompany Sales and Stock Transfer. Following our commitment at the RISE with 麻豆原创 moment in November, 麻豆原创 is further expanding the scope to cover two-entity transfers, enabling automated orchestration across multiple legal entities. This can ensure even the most complex global supply chains remain transparent and compliant. 

A full collection of deep-dive articles on the new FPS01 is available on . 

Looking ahead: your catalyst for transformation 

FPS01 reflects a core 麻豆原创 principle: innovation should be both a foundation for today and a catalyst for what鈥檚 next. With enterprise AI, industry-ready data, and a stronger application core, organizations can run smarter and transform at their own pace. 

To see these innovations in person, to experience the future of the autonomous enterprise. 

Maura Hameroff is chief marketing officer for 麻豆原创 Cloud ERP Private and RISE with 麻豆原创.

鈥淲hen we give, we gain鈥� is this year鈥檚 , and in the workplace, giving can take many forms: mentoring, advocacy, visibility, resources, and transparency.

For organizations, pay transparency is one of the most tangible ways to 鈥済ive鈥� in service of gender equality. When employees better understand their compensation, historically underrepresented groups gain clarity and fairness. And when organizations commit to equitable practices, the benefits ripple across the business鈥攆rom greater trust and engagement to stronger talent outcomes and overall performance.

Transparency starts with accountability

Many organizations are still early听in听their pay transparency journey.听At 麻豆原创,听this has been a听multi-year听effort听grounded in data, accountability, and action.听Each year, we conduct global internal pay equity analyses听comparing听employees in comparable roles, levels, and听geographies听to ensure compensation is fair, market-aligned, and internally听consistent. When outliers are听identified, centrally funded adjustments bring听pay听in-line.

This reflects 麻豆原创鈥檚 fair pay philosophy: equitable compensation that is transparent and free from bias, forming the foundation for performance-based differentiation.

Technology is central to this approach. 麻豆原创 operationalizes fair pay through听听and听, embedding听pay analysis, job architecture, and range guidance, so managers can consistently apply structured, explainable decisions during hiring and annual cycles.

Today,听over 99% of 麻豆原创 employees worldwide have transparency into their pay听range through听a compensation assistant听tool built on (麻豆原创 BTP). This tool听integrates 麻豆原创 SuccessFactors data to display salary ranges across career levels, which听can replace听guesswork with confidence and can give employees clear insight into their value, career progression, and how pay decisions are made.

From compliance to strategic intelligence: the EU Pay Transparency Directive

The shift from voluntary transparency to regulatory mandate is already underway. For European Union member states, the EU Pay Transparency Directive is driving change by requiring salary range disclosures in advance of the first interview, employee access to pay information, and gender pay gap reporting, with corrective action mandated when unexplained gaps exceed 5%. As implementation timelines approach, HR, legal, and finance teams across the EU are racing to operationalize new transparency requirements, making pay governance a board-level issue for many organizations.

鈥淥ne of the most meaningful shifts introduced by the EU Pay Transparency Directive is giving employees clearer tools to understand their own compensation. With capabilities like individual pay transparency reports generated through 麻豆原创 SuccessFactors Employee Central, employees now have a self-service way to see how their pay compares within their role and organization. That level of visibility is a major step forward for pay equity because it brings clarity to something that historically has been difficult for employees to question or address.鈥�

Anita Lettink, Future of Work and Pay Expert

Compliance is just the starting point. Organizations that embed transparency into everyday HR processes ensure pay decisions are consistent, equitable, and aligned with skills, performance, and business priorities. 麻豆原创 is already preparing customers for this shift, with tools designed to help meet these new requirements confidently.

With EU Pay Transparency Insights, a new capability within the , organizations can:

• Identify structural pay gaps and outliers before they become systemic issues.
• Connect compensation data to job architecture, skills, and performance to inform decisions and governance.
• Generate directive-aligned, ready-to-use reports without heavy manual effort.
• Turn transparency into action, guiding adjustments, equitable promotions, and workforce planning at scale.

These insights complement established fair pay practices鈥攕uch as structured job architecture, peer-based analysis, and centrally funded adjustments鈥攅nabling customers to implement transparent, equitable pay practices while meeting regulatory requirements.

Giving to gain: the leadership opportunity

This International Women鈥檚 Day, transparency should be treated as a strategic priority, not a compliance task. Clear, consistent pay practices help employees understand their value and help leaders make smarter, data-driven workforce decisions.

Pay transparency is accelerating, and organizations that act now will be the ones that lead. Don鈥檛 miss our upcoming webinar, EU Pay Transparency: Turning Fair and Equitable Pay into Your Strategic Advantage, where Future of Work and Pay expert Anita Lettink will break down the latest regulatory expectations and share best practices for building fair, equitable, and motivating compensation structures. .

Maryann Abbajay is chief revenue officer for 麻豆原创 SuccessFactors.

Today, we鈥檙e announcing that is now integrated with , working to deliver a unified experience, connected data, and integration with AI companion and to embed intelligent assistance directly into hiring workflows to help teams move faster, make better decisions, and deliver better candidate experiences. This integration, following 麻豆原创鈥檚 acquisition of SmartRecruiters in September 2025, establishes the foundation for a fully connected talent architecture, where hiring decisions, skills intelligence, and workforce planning can operate as one system.

Advancing intelligent hiring with SmartRecruiters for 麻豆原创 SuccessFactors

The solution can deliver a consistent, end-to-end hiring experience designed to meet the scale, speed, and intelligence requirements of modern organizations. By combining intuitive workflows with embedded AI, recruiters can eliminate repetitive administrative tasks and focus on higher value interactions, while candidates move through a streamlined, personalized journey from first touch to offer.

The integration with 麻豆原创 SuccessFactors HCM builds on these capabilities by connecting hiring processes to the full employee lifecycle and the broader business, helping to ensure that every hiring decision is grounded in real-time data and organizational context. Designed for scale, SmartRecruiters for 麻豆原创 SuccessFactors helps set the foundation for a complete intelligence layer across hiring and HR, with people, job, and organizational data flowing seamlessly between 麻豆原创 and SmartRecruiters.

Organizations can gain a more predictable hiring process with streamlined workflows, consistent tools, and shared real-time data across each hiring stage. They can expect:

• Single login: one entry point into 麻豆原创 SuccessFactors and SmartRecruiters for recruiters, hiring managers, and approvers
• Unified navigation: a seamless experience across 麻豆原创 SuccessFactors and SmartRecruiters to help reduce complexity and speed up adoption
• Aligned data: synchronized people, job, and organizational data that flows between systems, helping to ensure accuracy and consistency end to end

In practice, core organizational data like job families, cost centers, and locations can flow automatically from 麻豆原创 SuccessFactors into SmartRecruiters, helping to eliminate manual entry and inconsistencies. New roles open with these attributes already applied, and user management is just as smooth: recruiters, hiring managers, and approvers created in 麻豆原创 SuccessFactors appear in SmartRecruiters with the right permissions, helping to reduce errors and keep approval flows and reporting clean. As integration deepens, hiring becomes fully connected to core HR and workforce systems, creating a unified, trusted foundation for talent decisions across the enterprise.

With the enhanced benefits of SmartRecruiters for 麻豆原创 SuccessFactors, simple and flexible integration paths are now available for customers currently using the 麻豆原创 SuccessFactors Recruiting solution. 麻豆原创 will continue to honor all contracts, and customers will not be required to migrate.

Integration that activates enterprise鈥�ready AI

With 麻豆原创鈥檚 continued investment, SmartRecruiters for 麻豆原创 SuccessFactors is evolving quickly, bringing AI-driven innovation to every part of the hiring experience. High-volume hiring can become high-quality hiring through AI-assisted workflows, including intuitive applications, automated scheduling, intelligent matching, and streamlined interview feedback.

Beginning in 2026, Winston and 麻豆原创鈥檚 generative AI solution will work together as connected agents. Additionally, new protections such as fraud detection, enhanced consent management, and applicant data transferability will help embed trust in the hiring cycle, strengthening both system integrity and candidate confidence.

From talent acquisition to talent readiness

As organizations look beyond filling roles to building future-proof capabilities, intelligent hiring becomes just one part of a broader talent strategy. The power of integration delivered by SmartRecruiters for 麻豆原创 SuccessFactors extends beyond hiring, creating a connected, AI-enabled talent experience across the entire 麻豆原创 SuccessFactors HCM suite and, ultimately, . This is how organizations become skills-ready: hiring decisions tied to outcomes, and employees supported with clear paths to grow and contribute.

See SmartRecruiters for 麻豆原创 SuccessFactors in action:听Catch the听听of our March 5 webinar – 鈥淭he Future of Intelligent Hiring鈥� – to explore how 麻豆原创 is redefining hiring, talent orchestration, and long-term workforce strategy.

Lara Albert is chief marketing officer, 麻豆原创 SuccessFactors.
Rebecca Carr is CEO of SmartRecruiters, an 麻豆原创 company.

The reimagined portfolio, which includes the Foundational Success Plan, Advanced Success Plan, and Max Success Plan tiers, aims to deliver measurable results and a consistent, ongoing experience for customers. Designed to provide continuous engagement throughout each customer’s journey, the portfolio helps with adoption of the latest innovations and continuous value from a full investment in 麻豆原创 Business Suite.

The updated portfolio addresses the increasing need for organizations to adapt quickly to market changes, adopt AI-driven innovations and support business continuity. Each success plan offers clearly defined tiers of engagement, ranging from self-guided resources and proactive support to strategic and personalized partnership with dedicated experts. These tiers help customers select the right level of guidance for their unique needs.

Foundational Success Plan, included with every cloud solution from 麻豆原创, provides essential onboarding, technical cloud operations and preventive support. This plan is centered around, and expands upon, our well-known 麻豆原创 Enterprise Support offering and is designed to help organizations get solutions running efficiently, enable business continuity and achieve ongoing value. Customers benefit from curated content, learning resources, guided transformation with application lifecycle management solutions and preventive mission-critical support, enabled by AI and all built into the solution subscription at no additional cost.

Building on this, Advanced Success Plan adds specialized expertise and AI-assisted guidance. Organizations receive proactive support to detect risks and optimize processes, as well as activation sessions to deploy new functionality and refine operations. Enhanced-support service level agreements and intelligent tools help maintain peak performance and realize measurable business outcomes.

For enterprises navigating complex transformations, innovating quickly and striving to get the most out of AI, Max Success Plan offers 麻豆原创鈥檚 premium, strategic level of engagement. It includes all the benefits of Advanced Success Plan, plus dedicated success plan managers, cross-solution process improvement and access to customer-specific prototype development to accelerate offerings such as 麻豆原创 Business AI. This tier is built for organizations seeking a true strategic partnership, guiding modernization, reducing risk and accelerating value realization across their 麻豆原创 software landscape.

鈥淥ur evolved 麻豆原创 Services and Support portfolio is designed to help customers operate with ease and apply AI to drive business efficiency. It aims at mastering transformation, innovating at scale and turning decisions into action with clarity and impact,鈥� said Thomas Saueressig, member of the Executive Board of 麻豆原创 SE, Customer Services & Delivery. 鈥淏y offering a unified, enterprise-wide engagement model, 麻豆原创 helps customers continually adopt and derive the latest innovations and realize reliable ROI throughout their entire journey.鈥�

Customers can further extend their experience with a streamlined set of professional, development and application management services that leverage 麻豆原创鈥檚 expertise and partner ecosystem. With this enhanced portfolio, 麻豆原创 reaffirms its commitment to orchestrating customer success and enabling organizations to run at their best in a rapidly changing world.

For more information, read the blog post: Orchestrating Continuous Transformation for Stronger Business Outcomes.

Visit the . Get 麻豆原创 news via  and .

Media Contact:
Martin Gwisdalla, +49 (6227) 7-67275, martin.gwisdalla@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 2024 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.

In today鈥檚 omnichannel reality, delivering that elevated experience consistently and at scale is essential to protecting brand trust and loyalty. Peak moments like Black Friday and Cyber Monday amplify the challenge, when traffic surges and expectations for fast, personalized service are at their highest.

The team recognized that legacy systems couldn鈥檛 provide the speed, stability, or connected view required to meet those expectations at scale, prompting a shift to a modern customer experience (CX) foundation with 麻豆原创.

Modernizing the digital core with 麻豆原创 Commerce Cloud

Moving from legacy technology to gave Molton Brown a high鈥憄erformance engine designed for peak鈥憇eason reliability and continuous innovation. The results came quickly: 100% uptime during peak trade, even as volumes spiked to one order every three seconds during major events, freeing teams to focus on enhancing the customer experience rather than firefighting, and ensuring uninterrupted service for customers across global markets.

鈥淧eak performance isn鈥檛 a one鈥憈ime effort; it鈥檚 about reliability. We have to rely on technology operations to achieve 100% efficiency so the business can succeed, which in turn helps our customers succeed. Technology should enable business success, not block it鈥攁nd 麻豆原创 has proved that multiple times.鈥�

Naresh Krishnamurthy, Senior Manager 鈥� Business Transformation, Prestige, Kao UK Ltd

That stability also matters as product discovery increasingly begins beyond owned channels鈥攆rom social platforms to emerging AI鈥憄owered assistants鈥攚here consistent, trustworthy content and availability help the brand stay visible and credible wherever customers choose to engage. 麻豆原创鈥檚 evolving agentic commerce innovations anticipate this shift, ensuring products remain discoverable, trusted, and actionable across both human and AI agents.

A seamless luxury journey across channels

With and (formerly 麻豆原创 Emarsys) working together, Molton Brown aligns what customers see online with what they experience in store. Product categories, storytelling, and navigation are mirrored across channels; store associates can act on online browsing signals; and store teams are enabled with real鈥憈ime insight to deliver high鈥憈ouch clienteling experiences.

The result is an unbroken, premium journey that reduces friction and reinforces trust in the brand鈥攅xactly what luxury shoppers expect.

Personalization that builds loyalty, not just transactions

麻豆原创 Engagement Cloud helps Molton Brown deliver channel鈥慳ppropriate experiences, from mobile鈥慺irst engagement to email and in鈥憇tore clienteling, aligned to evolving customer preferences. These programs are complemented by thoughtful gifting moments, personalized birthday acknowledgments, and sustainability鈥慺ocused communications that strengthen repeat鈥憄urchase behavior.

Crucially, the team treats every holiday period as a data鈥憆ich learning cycle: months of performance testing, UX refinements, and campaign iteration inform what customers experience in the following season. Those insights help the team refine the experience so it remains consistent, intuitive, and premium, even under peak pressure. That consistency is what sustains loyalty, not just the promotions themselves.

As Naresh Krishnamurthy explains: 鈥淏lack Friday is not just about revenue; it鈥檚 about brand engagement and building the strong foundation that enhances the relationship through loyalty.鈥�

Ready for the next era of intelligent commerce

With a dependable CX core in place, Molton Brown is now exploring to anticipate risks ahead of campaigns, sharpen decision鈥憁aking, and streamline fulfillment鈥攁ugmenting the experience behind the scenes without compromising luxury standards.

This direction aligns naturally with 麻豆原创鈥檚 broader agentic commerce vision, where AI systems help interpret intent and keep trusted products discoverable and transactable across new surfaces鈥攁nother reason a reliable, 鈥渕achine鈥憆eadable鈥� CX foundation matters.

“Everything we鈥檙e doing ladders up to one goal: a truly connected customer experience鈥攑ersonal, consistent, and effortless in every channel.”

Molton Brown鈥檚 partnership with 麻豆原创 CX has reset what鈥檚 possible at peak, and every day after: dependable operations, consistent omnichannel experiences, and personalization that earns loyalty. The brand now scales confidently during its biggest moments, and stays ready for what鈥檚 next as AI changes how people (and agents) discover and buy.

This transformation positions Molton Brown to adapt quickly as customer expectations and digital commerce behaviors continue to evolve.

To explore how 麻豆原创 Commerce Cloud can elevate your customer experience, visit .

Germany鈥檚 most successful football club and one of the world鈥檚 leading professional sports organizations, FC Bayern has strengthened its long-term partnership with 麻豆原创 by choosing RISE with 麻豆原创 to transition to 麻豆原创 Cloud ERP Private solutions, the digital core of 麻豆原创 Business Suite. This complements the club鈥檚 existing array of cloud solutions. These include 麻豆原创 SuccessFactors, 麻豆原创 Emarsys, 麻豆原创 Concur, 麻豆原创 Analytics Cloud, 麻豆原创 Datasphere, and 麻豆原创 Sports One solutions as well as 麻豆原创 Business Technology Platform (麻豆原创 BTP), 麻豆原创 HANA Cloud and 麻豆原创 Event Ticketing software.

RISE with 麻豆原创 helps position the club to be future ready by unlocking continuous innovation, real-time analytics and AI-enabled insights. The new cloud environment enhances financial management, accelerates merchandise fulfilment and optimizes partner management to help ensure smoother logistics for kits, facilities and the supply chain. Today, more than 9.5 million fan and member data records and more than 25,000 product master data records are managed in 麻豆原创 Cloud ERP applications, providing a unified foundation for fan engagement, merchandising and operational excellence.

Cloud manages match-day peaks

By moving to the cloud, FC Bayern gains faster time to value and elastic scalability to help manage match-day traffic peaks while simplifying IT operations through a unified data platform. The transition also enables a predictable operating expense model, with 麻豆原创-managed security and compliance significantly reducing the club鈥檚 operational burden.

鈥淔C Bayern demonstrates how organizations can leverage the cloud solutions in 麻豆原创 Business Suite to drive innovation and growth,鈥� said Thomas Saueressig, member of the Executive Board of 麻豆原创 SE, Customer Services & Delivery. 鈥淭hrough RISE with 麻豆原创, the club now benefits from continuous updates, integrated analytics and AI capabilities that enhance fan experiences and strengthen operational agility.鈥�

麻豆原创 Cloud ERP Private offers continuous 麻豆原创-driven innovation and integration with services on 麻豆原创 BTP, including advanced analytics, machine learning and process integration. The solutions are hosted in certified data centers with disaster-recovery capabilities, centralized security updates and monitoring, a 99.9% service-level agreement and European Union (EU) data-residency options. This supports compliance with standards such as those of the International Organization for Standardization and the EU鈥檚 General Data Protection Regulation.

The move from a self-hosted model was completed only after rigorous assurance, governance and security measures were taken in compliance with FC Bayern鈥檚 strict operational and privacy requirements.

Putting FC Bayern at the forefront of digital innovation

鈥淥ur partnership with 麻豆原创 ensures that FC Bayern remains at the forefront of digital innovation. By moving to the cloud, we can scale fan engagement, optimize player performance analytics and streamline commercial operations across all global hubs,鈥� said Jan-Christian Dreesen, CEO of FC Bayern M眉nchen AG.

The new environment supports a clean-core approach to cloud ERP and provides a clear road map for adopting current and future 麻豆原创 software innovations including the Joule and 麻豆原创 Green Ledger solutions and additional AI-supported capabilities. This enables FC Bayern to scale fan engagement, player performance analytics, commercial operations, and HR and finance processes more efficiently and sustainably.

Visit the听. Get 麻豆原创 news via听 and .

Top image via FC Bayern Media Library

About 麻豆原创

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

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Global Customer Center: +49 180 534-34-24
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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 2026 麻豆原创 SE. All rights reserved.
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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.

Since 2021, has been 麻豆原创鈥檚 solution for calculating EPR fees across markets. At that time, the number of jurisdictions with installed mandatory EPR was around 60. By 2030, that number is expected to grow to 200.

With an evolving regulatory landscape, 麻豆原创 has implemented new updates within the solution to help ensure that customers can navigate diverse reporting requirements, deadlines, and fees while increasing accuracy, reducing fees and exposure, and improving insights. Read on for updates about recent innovations and how the solution combines enterprise data with information about local and global regulations to help calculate obligations like the EU Packaging and Packaging Waste Regulation (PPWR).

Meet EPR regulations with a flexible, AI-driven, and configurable approach

To date, 麻豆原创 Responsible Design and Production has supported customers in meeting EPR requirements with out-of-box report categories that are pre-configured based on country. However, the new global regulatory landscape necessitates a more flexible approach.

Enterprises need solutions that enable them to:

• Understand obligations and quickly adapt to new or changing regulations.
• Prepare the data, consolidating from many sources.
• Prepare reports, which requires custom reporting logic based on specific business contexts; reuse of rules and fee structures across similar reporting schemes or producer responsibility organizations (PROs); and calculating EPR fees against shipments and printing the results on invoices to show customers the breakdown between product costs and indirect taxes.

To address these challenges, 麻豆原创 Responsible Design and Production introduced user-defined reports to help enable customers to design their own sustainability reports, tailoring them to match unique regulatory logic, business context, and compliance requirements.

With new innovations in 麻豆原创 Responsible Design and Production, users can:

• Structure reports according to the specific rules, PRO requirements, and fee models relevant to their business.
• Precisely narrow down to the packaging and transactional data that is being reported.
• Satisfy complex requirements with multiple dimensions used in report output structure.
• Integrate reports with external and third-party recyclability guidelines assessments.
• Report and comply with the increasing number of PROs that have incorporated eco-modulated ERP fees with eco-modulation grading capabilities.

AI capabilities enhance efficiency and accelerate readiness

The 麻豆原创 Sustainability portfolio can deliver AI-led operational transformation by capturing sustainability data at the source and embedding intelligence directly into core business processes, thereby enabling continuous improvement at scale. In 麻豆原创 Responsible Design and Production, two AI cases involving user-defined reports are in beta testing:

麻豆原创 Responsible Design and Production, AI-assisted user-defined report explanations

This capability uses AI to analyze and describe how developed extended producer responsibility rules contribute to the assessment results of selected product packaging. During the development of user-defined report categories, EPR report specialists may struggle to understand why a given packaging was categorized in a certain way or not categorized at all. The AI use case is intended to help resolve and simplify an error-prone process by which specialists manually recheck packaging data and reevaluate rules.

麻豆原创 Responsible Design and Production, AI-assisted rule creation for user-defined reports

This capability uses AI to translate from regulatory language to system rules, empowering packaging compliance managers to create and validate EPR reporting rules faster and with higher accuracy. The AI use case is intended to help reduce manual effort, avoid costly compliance errors, and accelerate report readiness across markets.

Prepare for future compliance and competitive advantage using AI

The EU PPWR is coming, and most companies aren鈥檛 ready. PPWR introduces significant obligations for all economic operators placing packaged goods on the EU market. Brand owners, importers, packaging manufacturers, distributors, and digital marketplaces are all impacted. To mitigate risk and ensure readiness, businesses must take immediate action to assess and adapt packaging materials, data systems, and regulatory reporting.

The detailed packaging data management offered by 麻豆原创 Responsible Design and Production will help enable organizations to efficiently handle PPWR compliance. With robust data capture and flexible reporting, companies can anticipate regulatory changes and maintain transparency throughout their packaging supply chain.

麻豆原创 Responsible Design and Production is working on document of compliance capability, recyclability assessments using real product shipment data, so you can assess which changes have the biggest impact. Stay tuned for future announcements from 麻豆原创 on this topic.

An ERP-centric framework for many business outcomes

By enabling organizations to build reports that align with their changing needs, 麻豆原创 Responsible Design and Production can ensure that compliance remains agile, scalable, and future-ready. The solution can connect design, production, and regulatory demands to enable organizations to minimize waste, optimize costs, and adhere to global sustainability standards.

Unlike standalone compliance tools, 麻豆原创 Responsible Design and Production operates within an ERP-centric framework, helping to ensure seamless integration with existing 麻豆原创 solutions for product master data and transaction data.

Traditional, manually intensive processes are not enough to keep pace with regulations and ensure competitive advantage by unlocking data insights. One 麻豆原创 Responsible Design and Production customer recently confirmed that using the solution was four times faster and less expensive than manual processes with a spreadsheet or using consultants.

With 麻豆原创 Responsible Design and Production, your organization can be empowered to respond swiftly and confidently to regulatory changes, working to ensure compliance while freeing your teams to focus on business impact that matters.

Listen to the recent to discover how businesses can address upcoming PPWR requirements with 麻豆原创 solutions.

Learn more about user-defined report capabilities or request a demo of 麻豆原创 Responsible Design and Production. Read these customer stories:

Gunther Rothermel is chief product officer for 麻豆原创 Sustainability.

麻豆原创 is recognized in the 2026 Gartner庐 Magic Quadrant™ for Personalization Engines. 麻豆原创 Engagement Cloud now brings 麻豆原创鈥檚 trusted enterprise backbone to the customer experience, enabling organizations to connect customer insight and operational execution in real time. It builds on market-leading personalization capabilities.

麻豆原创 Engagement Cloud also incorporates AI鈥慹nabled insight to support responsible, efficient scaling of personalized engagement.

As part of this evolution, 麻豆原创 also announced 麻豆原创 Engagement Cloud, enterprise edition, which provides advanced administration, governance, and content and data鈥慶ontrol capabilities for organizations operating across multiple brands, regions, and teams.

鈥淭his approach helps organizations maintain consistency, compliance, and brand standards globally, which is increasingly important in an age of AI decision-making and automation, while also staying responsive to local needs,鈥� said Joanna Milliken, Head of 麻豆原创 Engagement Cloud.

For example, a global consumer goods company operating dozens of brands and regional teams can manage engagement roles, permissions, and data centrally while allowing local teams to execute the relevant interactions. When inventory levels, fulfillment delays, or service disruptions occur, engagement can adapt without manual coordination across disconnected systems.

Existing capabilities of the 麻豆原创 Emarsys solution remain available within 麻豆原创 Engagement Cloud. Customers can adopt new capabilities incrementally, based on their priorities and readiness. 麻豆原创 Engagement Cloud, enterprise edition, will be available beginning February 19, with additional innovations delivered through 麻豆原创鈥檚 innovation road map.

Visit the . Get 麻豆原创 news via  and .

Media Contact:
Mallory Kuno, +1 (425) 239-9362, mallory.kuno@sap.com, ET
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.听 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 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.

Headquartered in Nuuk and 100% owned by the Government of Greenland, Royal Greenland is modernizing its 麻豆原创 platform and moving from on premise to cloud ERP in order to future鈥憄roof core processes and unlock embedded AI across its 麻豆原创 business applications.

鈥淲e are moving from our existing setup to 麻豆原创 Cloud ERP and 麻豆原创 Business Data Cloud because we want access to the capabilities you can consume on a cloud platform,鈥� said Lars Bo Hassinggaard, CIO at Royal Greenland for more than 25 years.

The company brings high鈥憅uality wild鈥慶aught fish and shellfish from the North Atlantic and Arctic Ocean to consumers worldwide. It has been running 麻豆原创 since 1998 but is now embarking on its most significant transition to date: migrating 麻豆原创 ERP Central Component to 麻豆原创 Cloud ERP while simultaneously elevating its business intelligence (BI) landscape into 麻豆原创 Business Data Cloud and later transforming BI into 麻豆原创 Datasphere.

The project follows the structured RISE with 麻豆原创 framework, which consolidates platform transformation, operations, and the innovation cycle into one contract.

Lean, selective data transition: 90% fewer data to move

As part of the migration, Royal Greenland is reducing its data volume significantly using the 鈥淟ean Selective Data Transition鈥� method.

鈥淲e are keeping 10 years of data and cleaning up, so we avoid outdated company codes and historical data that no longer create value,鈥� Hassinggaard explained. 鈥淲e鈥檝e achieved a 90% reduction in what needs to be stored and migrated. The method combines data analysis, scoping, and standardized mapping objects in a guided process, ensuring that Royal Greenland only carries forward what is truly necessary, making the financials of the transformation more predictable and avoiding unnecessary complexity.鈥�

Technology first, innovation next

Go鈥憀ive is planned for March 1, 2027. The year 2026 is dedicated to the platform lift itself. From 2027, Royal Greenland will begin building business鈥慸riven improvements on top of the standardized core鈥攆or example, new user interfaces and process optimization using small AI agents within finance and administration.

鈥淩oyal Greenland and 麻豆原创 have worked together since 1998, and we look forward to getting started on the technical part of the platform uplift this January,鈥� Hassinggaard shared. 鈥淲e鈥檙e keeping the transformation as simple as possible for now and will use 2027 to activate the benefits, such as improved data analysis, better user experience, and more efficient work processes.鈥�

Royal Greenland is following a classic waterfall approach and has already established a 鈥済olden shell鈥� as the basis for further configuration and retrofitting.

麻豆原创 is responsible for implementing the cloud solution, which will run on Microsoft Azure, initially in Sweden, with the option to move later to a Danish data center. External advisor Spektra Analytics has supported contract validation.

From in鈥慼ouse experiments to standardized, 鈥渃onsumed鈥� AI

Although Royal Greenland has already successfully experimented with its own AI solutions, including vision鈥慴ased projects in production, the strategic direction ahead is to leverage embedded, standardized AI data products from 麻豆原创 and models built on the 麻豆原创 Business Data Cloud and its semantic data layer.

鈥淲e are a company that prefers to tap into existing AI solutions rather than invent them ourselves,鈥� Hassinggaard said. 鈥淚t鈥檚 far more efficient for us. There is no reason for us to spend resources reinventing what 麻豆原创 already provides. The initial focus will be on process optimization within administrative functions such as finance鈥攕mall AI agents that can streamline daily work.鈥�

Advice to others: Allocate more time, and understand your method

Hassinggaard is clear that the RISE with 麻豆原创 contract, methodology, and preparation work require time and organizational maturity. His advice to other companies facing a similar cloud ERP decision: 鈥淒o it thoroughly鈥攁nd allocate more time than you think. Study the methodology, pricing, and contracts. And bring a competent advisor on board.鈥�

Ellen Vig Nelausen is an integrated communications expert for 麻豆原创 Regional Communications.

The hub is launched as armed forces and security institutions face increasing pressure to manage complex missions across allies, domains and supply chains while maintaining resilience, transparency and control. At the defense innovation hub, 麻豆原创 brings together software, data, AI and industry expertise to demonstrate how integrated digital systems translate strategic requirements into operational readiness. This enables comprehensive integration across key areas such as personnel readiness, logistics, procurement, manufacturing, training and maintenance. Together, these capabilities form the digital backbone required for real-world defense operations.

鈥淒efense readiness today is no longer defined by equipment alone: It is defined by how well people, processes and partners are connected,鈥� said Thomas Saueressig, member of the Executive Board of 麻豆原创 SE, Customer Services & Delivery. 鈥淚n an increasingly volatile security environment, armed forces need systems they can trust鈥攕ystems that are resilient, interoperable and sovereign. With our defense innovation hub, 麻豆原创 is demonstrating how digital platforms can strengthen operational readiness while preserving control, compliance and freedom of action.鈥�

A Hub Built on Munich鈥檚 Defense and Technology Ecosystem

Munich鈥檚 strong defense and technology ecosystem, combining innovative startups, established industry leaders, academic excellence and public institutions, provided the ideal setting for the new hub. Supported by the Technical University of Munich’s academic excellence and the presence of key government institutions, the Munich region is uniquely positioned for cross-sector collaboration. At today鈥檚 launch, the setting provided a fitting backdrop for hands-on demonstrations translating innovation into operational reality. Attendees experienced hands-on scenarios illustrating how 麻豆原创 for Defense & Security solutions connect people, assets and supply chains in a unified, more secure operational picture.

鈥淭he Technical University of Munich is pleased to collaborate with 麻豆原创 in translating advanced research into operational security and defense capabilities,鈥� said Chiara Manfletti, head of the Aerospace and Geodesy Department at TUM and scientific lead of the newly launched TUM Security and Defense Alliance. 鈥淎s technological innovation accelerates, strategic partnerships such as this ensure that cutting-edge scientific developments can be rapidly deployed to strengthen operational readiness.鈥�

The launch also served as a lead-in to this week鈥檚 Munich Security Conference, where questions of resilience, interoperability and technological sovereignty will dominate the agenda. Throughout the week, 麻豆原创 will continue engaging with policymakers and partners on how digital innovation can support security and defense in an increasingly fragmented world.

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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 2024 Annual Report on Form 20-F.
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Joule is an AI solution that turns siloed data and tasks into intelligent, connected workflows that help improve decisions, speed up end-to-end processes, and create a unified AI experience across 麻豆原创 and non-麻豆原创 systems. With AI agents for all core functions, powered by 麻豆原创 business process expertise, an AI strategy scales faster and wider.

In this context, the unique value of combining Joule with 麻豆原创 Signavio is the powerful combination of deep process context from 麻豆原创 Signavio and orchestration across 麻豆原创 applications, including but not limited to 麻豆原创 S/4HANA, 麻豆原创 Business Technology Platform (麻豆原创 BTP), and 麻豆原创 SuccessFactors solutions.

After months of successful collaboration with customers in the 麻豆原创 Early Adopter Care program, this launch marks a major step toward delivering a conversational experience, making it easier than ever to explore, understand, manage, and transform processes with 麻豆原创 Signavio solutions.

But how does this work in practice? Let鈥檚 look at an example.

Joule in action

Imagine accessing , an organization鈥檚 single source of truth for process alignment, in order to understand more about a particular process, order-to-cash. What once might have taken hours of investigation can now happen in minutes through a simple conversation.

Asking Joule, 鈥淲ho is the process owner of the order-to-cash process?鈥� prompts Joule to suggest the process that most closely matches the query, then retrieve the owner information from the process diagram attributes.鈥�

Following up with 鈥淧rovide me with a description of the process flow鈥� means Joule skills convert the process visual into a clear process description. You can dive deeper into the process as well, perhaps by comparing the difference in process execution in different regions. Just ask, and Joule skills provide a textual summary that highlights the key differences between the two process models.

Joule offers a connected user experience across 麻豆原创 and non-麻豆原创 systems, allowing employees to ask questions and interact with Joule from anywhere. In other words, while working in 麻豆原创 Signavio, users can interact with data and capabilities from other systems, or while in other systems, users can access 麻豆原创 Signavio capabilities.

Simple and seamless

This connectivity and seamless access is designed to simplify day-to-day tasks in multiple ways, and Joule with 麻豆原创 Signavio offers skills across three use cases: informational, navigational, and transactional. Plus, additional analytical capabilities are planned for future releases. As a summary, these use cases鈥攐r interaction patterns鈥攃omprise the following:

• Informational:鈥疛oule acts as an intelligent assistant, helping users understand how to perform specific tasks or generating a textual comparison between processes. For example, ask Joule: 鈥淲hat鈥檚 the difference between draft and published process models?鈥濃�痮r 鈥淗ow can I set up a dashboard?鈥�
• Navigational: Joule simplifies content navigation across 麻豆原创 Signavio solutions and guides users through the 麻豆原创 Signavio Process Collaboration Hub to access various assets such as process and journey models, and value accelerators. For example, prompt Joule: 鈥淥pen the Order-to-Cash process model published for EMEA鈥� or鈥�淔ind accelerators for the Financial Process鈥�
• Transactional: Joule enables users to perform actions conversationally, such as creating and deleting assets within the 麻豆原创 Signavio Process Transformation Suite, including processes, journey models, and dictionary items. For example, tell Joule: 鈥淐reate a new dictionary term and link it to the Returns process.鈥濃�痮r 鈥淒elete the journey model called Sales Process.鈥�

Unlocking value with agentic AI

Right now, Joule works across 麻豆原创 applications as a process companion, meaning that 麻豆原创 Signavio process context and intelligence is accessible to the user across all Joule-compatible applications, including, among others, 麻豆原创 S/4HANA, 麻豆原创 SuccessFactors solutions, and 麻豆原创 BTP. But this is just the beginning.

麻豆原创 is developing Joule Agents embedded into every business function and accessed with role-based assistants, which use 麻豆原创鈥檚 process expertise to automate complex workflows and deliver AI value at scale. Joule Agents for 麻豆原创 Signavio solutions can help accelerate content discovery and process analysis, create value cases, and enhance user onboarding.

The age of AI brings an expectation of immediate insights and context-based support when and where you need it, and Joule with 麻豆原创 Signavio solutions means process navigation and execution is no exception.

For clearer decision-making, seamless integration, and enhanced automation, visit the to learn how to activate Joule and get your own conversation started.

Lucas de Boer is Global Marketing program lead for 麻豆原创 Signavio.

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Naturipe Farms knows berries, and the grower鈥憃wned company has spent decades perfecting the art of delivering fresh, sustainably grown berries to customers around the world.

Naturipe’s Senior IT Director Carol McMillan explains how migrating to 麻豆原创 S/4HANA and has helped the company improve supply chain visibility, speed, and workforce experience. Learn more.

Naturipe has been an 麻豆原创 customer since 2008, and while initially it was not very proactive with software upgrades, the company鈥檚 philosophy has changed over time. Today, Carol McMillan, Naturipe鈥檚 senior IT director, emphasizes the importance of upgrading and upskilling the team regularly.

“There’s actually more of a risk not upgrading the product and not upskilling your team than there is being more aggressive with that timeline,” she says. Since migrating to 麻豆原创 S/4HANA in 2018, the company has undergone three upgrades, including .

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鈥淲e migrated to RISE with 麻豆原创, and we are looking at how we use those tools to optimize our supply chain and to create a better user experience for our workforce. Our workforce is constantly changing, and technology needs to change with the workforce,鈥� McMillan says.

She says it鈥檚 also important to stay at the forefront of technology in order to solve business problems efficiently, and notes that technological advancements have been crucial in managing the company’s exponential growth: “You can’t have linear growth in technology when you have exponential industry growth.”

McMillan says the Naturipe team uses 麻豆原创鈥檚 technology to prioritize its people and customers, improve workplace happiness, and give users a better experience. 鈥淲e use technology to make sure that we’re running as optimally as possible,鈥� she says. 鈥淲e look at process improvements and try to be at the forefront of technology. So, keeping up with the upgrades on a regular basis helps us be prepared for when business problems need to be solved, that way we already have the technology there to be able to solve them.鈥�

Delivering the freshest, highest-quality products to customers 365 days a year requires constant agility鈥攅specially in a category influenced by weather variability and the complexity of a highly time-sensitive supply chain. 鈥淏erries have a very short shelf life, so getting the best quality to our customers as quickly as possible is essential,鈥� she says.

To support this commitment, Naturipe Farms has invested in advanced logistics and supply chain technologies that enhance speed, visibility, and decision-making. These investments help ensure timely delivery of fresh products while also supporting employee satisfaction and work-life balance through wellness programs and flexible work arrangements.

Looking ahead, Naturipe wants to further enhance the user experience with more powerful tools and learn how to make better use of all the tools that come with RISE with 麻豆原创.  McMillan also identifies the potential of AI and the adoption of tools like Joule to improve Naturipe鈥檚 operations. “We really want to make the best use of AI and to give our users the best experience possible,” she says.

Her advice for other organizations in the agricultural industry includes the importance of putting people first, using technology to drive strategic growth, and not being a prisoner to risk. “It’s just as risky to not upgrade your technology as it is to have an aggressive timeline and have the tools that you need in order to drive that exponential growth,” she says.