AI in the Flow of Business Execution: What’s New in SAP Customer Experience Q1 2026

Customer experience has entered a decisive new phase.

Connect AI, data, and customer-facing applications to deliver winning experiences

AI alone is no longer a differentiator: What matters is where intelligence operates inside of a business. As demand volatility increases, fulfillment windows tighten, and customer expectations rise, organizations need more than insights or task assistance. 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 monitoring flows, anticipating risk, and over time acting as intelligent agents within core customer-facing processes.

With the Q1 2026 release of SAP Customer Experience solutions, SAP 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—helping organizations protect revenue, reduce friction, and deliver consistent, trusted experiences at scale.

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: Automatically add SKUs from a deal using opportunity and email data with the Microsoft Outlook add-in for SAP Sales Cloud. Users can choose to generate a quote, and the quote is quickly created in SAP 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 SAP Sales Cloud and SAP 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 SAP 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—ensuring product descriptions are detailed, differentiated, and discovered.

Delivering reliable service at scale

  • Digital Service Agent handoff for case creation: Connect every step of the service journey from conversational AI self-service to field resolution so service teams can resolve customer issues faster and provide personalized service engagements that build trust. Using conversational cues, Digital Service Agent summarizes intent identification for ticket creation while capturing essential information required for handoff to underlying solutions like SAP Service Cloud.
  • Agent inbox: Give service teams a single, real-time command center in SAP 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 (SAP 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’t just execute tasks but reshape strategies, reimagine retail supply chain planning, and master autonomous growth and lasting differentiation.
    Learn more at the SAP Sapphire session.

Orchestrating engagement across the customer life cycle

Customer engagement spans browsing, purchasing, fulfillment, and service across multiple channels. SAP CX connects engagement directly to operational context.  

  • SAP Engagement Cloud delivers personalized, AI-personalized communications and interactions across every channel powered by connected customer and operational data all fully integrated across SAP. Teams can deliver consistent, intelligent engagement that builds loyalty and drives business impact.
SAP Engagement Cloud 
SAP Engagement Cloud 
  • AI-assisted report builder (SMS channel support): Extend 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 “What was SMS revenue last month?”
AI-Assisted Report Builder for SMS
AI-Assisted Report Builder for SMS
  • AI segments for mobile push: Predictively identify contacts who are likely in the next 30 days to engage, become inactive, or remain inactive, so marketers can target outreach where it will deliver the strongest results.   
AI Segmentation for Mobile Push
AI Segmentation for Mobile Push

Accelerate transformation with the advanced success plan for SAP CX

To assist customers on their transformation journeys, SAP launched the new Advanced Success Plan in the SAP Services and Support portfolio. This will help customers increase the value of individual applications, accelerate cloud transformation across SAP Business Suite, and enable consistent adoption of new innovations and SAP Business AI.

With expanded coverage with additional SAP CX solutions, including SAP Enterprise Service Management and SAP Sales Performance Management, the advanced offering is comprised of three powerful elements:

  • Success expert: Regular SAP 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 webinar to learn how the new service offering unlocks more of the transformative value of SAP solutions: Success Unleashed: Be Future-Ready with SAP Services and Support.

Intelligence where execution happens  

With SAP Customer Experience, AI moves beyond isolated assistance to operate directly within business execution flows. Intelligence is embedded where work happens—inside quotes, product content, service interactions, and campaigns—helping organizations respond in real time and deliver consistent customer outcomes at scale.

Learn more about SAP CX in Q1 2026  

Read the SAP Help documentation to get started with these new capabilities.  


Balaji Balasubramanian is president and chief product officer for SAP Customer Experience and Consumer Industries. 

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SAP Extends Contract with Chief People Officer Gina Vargiu-Breuer

WALLDORF — SAP SE (NYSE: SAP) today announced that it has extended the contract of Gina Vargiu-Breuer (51), Chief People Officer of SAP SE, for another three years until January 31, 2030.

“In her role as chief people officer, Gina Vargiu-Breuer has laid important foundations for SAP’s continued success by strengthening how we attract, develop and lead our people,” said Pekka Ala-Pietilä, Chairman of the Supervisory Board of SAP SE. “We appreciate her energy and dedication and are convinced she will further drive SAP’s transformation into the age of AI.

“I am grateful for the trust of the Supervisory Board and look forward to shaping SAP’s transformation in the age of AI,” said Vargiu-Breuer. “This is about rethinking how we operate as a company: how we work, make decisions and deliver value to our customers. Together with my People & Culture team, we will continue what we started two years ago and turn this transformation into tangible business impact at scale.”

Vargiu-Breuer became a member of the Executive Board of SAP SE in 2024. Prior to joining SAP, she served as Senior Vice President of Human Resources at Siemens Energy. Earlier in her career, Vargiu-Breuer held multiple roles at Siemens AG.

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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 SAP’s 2025 Annual Report on Form 20-F.
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How Sybit Creates Innovative Customer Solutions with SAP Business AI | SAP Partner

AI creates the biggest advantage when it’s applied end-to-end, not as a one-off experiment. In this short partner story, Sybit shares how it approaches AI holistically so customers can stand out from competitors, using SAP Business AI to turn real-world signals and company data into action.

Sybit highlights two practical examples that are already in place: first, spare part determination from a photo. An AI-based solution analyzes an image, identifies the required spare part, and recognizes the underlying pattern behind it. That helps teams respond faster and with greater accuracy, especially when time matters and details are hard to capture in a ticket.

Second, an AI chatbot grounded in company data. By taking internal data into account, the chatbot can recommend the best-fit action and the best-fit answer, helping customer-facing teams deliver more consistent, context-aware responses. It also reduces the back-and-forth that happens when information is scattered across systems or buried in documentation.

Together, these examples show how SAP Business AI can support smarter service experiences by cutting time spent searching, improving first-time accuracy, and helping teams move from insight to resolution more quickly.

Explore SAP Business AI: https://www.sap.com/products/artificial-intelligence.html

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About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://www.sap.com/index.html

#SAPBusinessAI #CustomerService #SAPPartner

How SAP S/4HANA Improves Procure-to-Pay (P2P) Across Industries

Procurement is the process of sourcing, buying, receiving, and inspecting all the raw materials, whether goods or services, to run a business.

Molton Brown Reinvents Peak‑Season Luxury with SAP Customer Experience

Molton Brown has long been synonymous with British luxury—known for its fragrance craftsmanship, premium bath and body formulations, and commitment to sustainability.

In today’s 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’t 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 SAP.

SAP Commerce Cloud: Fuel embedded AI with holistic, end-to-end business data

Modernizing the digital core with SAP Commerce Cloud

Moving from legacy technology to SAP Commerce Cloud gave Molton Brown a high‑performance engine designed for peak‑season 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.

“Peak performance isn’t a one‑time effort; it’s 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—and SAP has proved that multiple times.”

Naresh Krishnamurthy, Senior Manager – Business Transformation, Prestige, Kao UK Ltd

That stability also matters as product discovery increasingly begins beyond owned channels—from social platforms to emerging AI‑powered assistants—where consistent, trustworthy content and availability help the brand stay visible and credible wherever customers choose to engage. SAP’s 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 SAP Commerce Cloud and SAP Engagement Cloud (formerly SAP 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‑time insight to deliver high‑touch clienteling experiences.

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

Personalization that builds loyalty, not just transactions

SAP Engagement Cloud helps Molton Brown deliver channel‑appropriate experiences, from mobile‑first engagement to email and in‑store clienteling, aligned to evolving customer preferences. These programs are complemented by thoughtful gifting moments, personalized birthday acknowledgments, and sustainability‑focused communications that strengthen repeat‑purchase behavior.

Crucially, the team treats every holiday period as a data‑rich 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: “Black Friday is not just about revenue; it’s about brand engagement and building the strong foundation that enhances the relationship through loyalty.”

Ready for the next era of intelligent commerce

With a dependable CX core in place, Molton Brown is now exploring SAP Business AI to anticipate risks ahead of campaigns, sharpen decision‑making, and streamline fulfillment—augmenting the experience behind the scenes without compromising luxury standards.

This direction aligns naturally with SAP’s broader agentic commerce vision, where AI systems help interpret intent and keep trusted products discoverable and transactable across new surfaces—another reason a reliable, “machine‑readable” CX foundation matters.

“Everything we’re doing ladders up to one goal: a truly connected customer experience—personal, consistent, and effortless in every channel.”

Molton Brown’s partnership with SAP CX has reset what’s 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’s 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 SAP Commerce Cloud can elevate your customer experience, visit sap.com/commerce.

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Top 3 Tips to Sell More with SAP Business Network | With SAP Customer, Unite | B2B Exchange

Zachary Rubio Grundell from SAP customer Unite shares how SMEs can reach more customers and grow their business through a B2B business network.

POV: You use AI to survive your HR to-do list ✅

Time is your most valuable asset ⏳

Joule helps you save it, from crafting job descriptions to understanding your pay slip. Discover your new AI-powered productivity hack. 💎 https://sap.to/6050hyOL0

#joule #ai #sapsuccessfactors

AI Highlights in 2025: Joule, Agents, AI Foundation, and More | SAP Business AI

2025 was a big year for SAP Business AI with new capabilities designed to turn business data into real impact.

In this highlights recap, we look back at key moments across SAP events: Joule expanding for developers, consultants, and business users; the Joule action bar bringing help across SAP’s portfolio and beyond; and Joule agents that help turn insights into action wherever work happens. We also spotlight new assistants across finance, procurement, supply chain, HR, and customer experience, including 40+ new agents in 2025, plus progress on agent orchestration and Agent2Agent compatibility.

You’ll also hear about the foundation behind it all: an AI operating system to build and run at scale, with multi-model support (any model to any model), plus tools like prompt optimization. And we close with the momentum: 2,400 Joule skills, 300+ use cases, 34,000 SAP Business AI customers, and reported value potential of €441M p.a. for a €10B-revenue company.

Thank you to our customers, and here’s to an even brighter 2026!

Get a peek at upcoming generative AI innovations: https://sap.to/6052hEBLm

#SAPBusinessAI #Joule #AI

Unlocking Growth by Embracing the Paradoxes of the Intelligent Age

The Intelligent Age is marked by rapid technological progress, societal shifts and complex paradoxes. We’re more connected yet more isolated; flooded with information but uncertain of truth; empowered and threatened by technology.

Create transformative impact with powerful AI and agents fueled by the context of all your business data

As companies and governments face challenges around sovereignty, security and competitiveness, they need to embrace approaches that initially appear contradictory: investing boldly despite limited resources, sharing data while protecting it and competing while collaborating. These are not contradictions – this is the new operating model.

Against this backdrop, it becomes clear that organizations must adopt a three-pillar approach to navigate this new normal of paradoxes.

First, they must ground themselves in flexible digital foundations; second, embed AI deeply and responsibly into their operations; and third, view collaboration as a strategic advantage rather than a compromise.

These principles form the backbone of a sustainable way of working in the Intelligent Age, where progress depends on navigating paradoxes with agility and shared purpose.

Laying the foundation for flexibility

Progress is moving at breakneck speed. Technologies that seemed futuristic yesterday are mainstream today and by tomorrow, they could even be obsolete. To keep pace, organizations need a foundation that is rigid but adaptable – a platform that can evolve as quickly as the world around it.

That foundation is the cloud. A cloud migration is more than an IT project: it is the digital foundation for a thorough modernization of the entire enterprise, for moving from “good “to “great.”

Modern cloud infrastructure enables data, applications and AI to interoperate seamlessly, creating an environment where innovation can flourish. It accelerates the deployment of software updates and new applications, reduces complexity and provides the scalability needed to respond to shifting demands.

True flexibility, however, goes beyond technology. Organizations must foster a mindset that embraces change, encourages experimentation and prioritizes resilience over perfection. This means empowering teams to adapt quickly, learn continuously and view change as an opportunity rather than a threat.

Drive AI innovation on your terms

As AI rapidly reshapes how we live, study and work, no organization can afford to ignore it, yet many still have questions about how to apply it.

In the business-to-business realm, AI cannot be treated as a standalone technology. To unleash its full potential, AI must be deeply embedded in business processes. This requires three pillars:

  • Modern cloud software
  • Advanced data management
  • A consistent stack of AI technologies

Companies that move from legacy on-premises software to integrated cloud applications unlock AI’s ability to access, understand and facilitate transactions across the enterprise. This enables AI agents to function as digital coworkers, capable of executing complex workflows spanning the business.

The power AI offers is undeniable and in today’s volatile world, this often leads to questions around digital sovereignty. True digital sovereignty is about maintaining control over critical data and assets while leveraging the best technologies available in line with national interests.

Data protection and compliance are non-negotiable. Companies and governments must ensure that sensitive information remains under appropriate jurisdictional control.

Internationally aligned sovereignty standards – such as ISO (​​International Organization for Standardization) and IEC (International Electrotechnical Commission) – would enable secure, compliant scaling across borders, unlocking the full potential of AI without compromising trust.

Not all data requires the same level of protection. Information essential to national security or public safety requires the highest levels of control. At the same time, less sensitive data can be managed in trusted cloud environments that comply with recognized cybersecurity standards.

This nuanced approach allows organizations to balance innovation with responsibility.

Compete with collaboration

The paradox of competition and collaboration is perhaps the most striking of all. In a hyperconnected world, no company or government can tackle today’s challenges alone. Cybersecurity threats, climate change and economic inequality are global issues that demand collective solutions.

The competitive advantage now lies in partnerships – across industries, sectors and borders. Public-private collaboration is essential to co-create AI use cases, build open ecosystems and invest in digital education. Such partnerships are strategic imperatives that strengthen our society and our economy for long-term growth.

Collaboration also extends to governance. Establishing shared frameworks for ethical AI, data privacy and sustainability will require dialogue among stakeholders with competing interests. Yet, this dialogue is the cornerstone of progress.

Dialogue: the operating principle

While the opportunities AI provides are immense, they are by no means guaranteed. The determining factor will be our ability to engage in meaningful dialogue – as companies and governments, technology experts and policy-makers, innovators and citizens.

In the Intelligent Age, the question is not whether we will face paradoxes, but how we face them. Dialogue must be our operating principle – the means through which we reconcile paradoxes, build trust and chart a course toward shared prosperity. The future will belong to those who embrace complexity, act with courage and collaborate across divides.


Christian Klein is CEO and member of the Executive Board of SAP SE.

This piece originally appeared on the World Economic Forum website.

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Redefining the Path to Loyalty-Led Growth with SAP Order Management Services

Just two years ago at NRF, SAP introduced SAP Order Management Services, a cloud-native, composable, and modular order management solution designed to help unify data and processes for orders, inventory, POS transactions, and fulfillment management across all channels.

Since the launch, SAP Order Management Services has empowered organizations to streamline operations for increased efficiency, reduced manual workloads, and untangled multi-channel complexity. With this approach, businesses can deliver on customer promises with seamless customer experience. This momentum has also been recognized in the market, as SAP Order Management Services was named a Leader in the Order Management Market 2025 report by IHL Group for its robust capabilities and enterprise readiness.

Overcome omnichannel order and fulfillment complexities with SAP Order Management Services

Hornbach, a leading German home improvement retailer, is already seeing the benefits. With SAP Order Management Services, Hornbach connects digital and physical stores with full visibility into day-to-day transactions, providing omnichannel retail experience at scale to its customers.

However, the retail landscape is evolving continuously. While profitable growth is critical to businesses, earning and sustaining customer loyalty now is becoming more important. Ahead of the curve, SAP has heavily invested in expanding capabilities in the SAP Order Management Services bundle to help retailers deliver on customer promises with intelligence, scalability, and adaptability, leading to boosts in customer loyalty.

At NRF 2026, SAP is unveiling new and enhanced capabilities that power retailers to not only operate more efficiently but also achieve loyalty-led growth through every order.

AI in SAP Order Management Services

Joule in SAP Order Management Services: SAP’s AI copilot, Joule, is now available in SAP Order Management Services. Access order-related data, analysis, and insights through conversations in natural language and visual display.

Order Reliability Agent: Accelerate operational efficiency with the Order Reliability Agent in SAP Order Management Services. Proactively mitigate and resolve any potential issues and gaps, such as stock discrepancies or process bottlenecks, to help ensure every order is fulfilled seamlessly and to boost customer loyalty.

AI-assisted copy generation and translations: Create promotional copy in seconds and translate it into any language with AI assistance, helping to reduce manual workload and accelerate time-to-market.

UI enhancements

Workflow-optimized UI: The enhanced and unified UI in SAP Order Management Services can deliver a consistent user experience across order, inventory, and fulfillment operations. Teams can now work faster, reduce training time, and maintain full visibility across every step of the order lifecycle.

Watch the SAP Order Management Services retail demo video to get a closer look at the AI capabilities in action. Visit the SAP booth at NRF 2026, January 11 – 13, to learn more about SAP Order Management Services and catch an in-person demo.


Emilie Fournelle is head of Product Management for SAP Order Management Services at SAP.

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