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SAP Scales AI-Integrated Instant Resolution and Self-Service for Customer Support

In today’s always-on, digital-first world, customers expect answers now, not “within 16 business hours.” While great support requires human empathy, some issues can be resolved with human-generated knowledge at first contact. This is where instant resolution and self-service tools come in. These tools play a crucial role in building fast, scalable, and modern customer support experiences.

As the first step in a much broader playbook toward a next-gen, agentic case resolution workflow, SAP is launching instant resolution and self-service tools to help make support smarter and more proactive. How do these offerings help in real-world support scenarios?

AI-accelerated instant resolution

Imagine a customer submits a routine ticket about a known error during a routine update. Instead of waiting in a queue, the customer gets an instant response from a specifically trained AI agent with a direct link to a relevant SAP Note or SAP Knowledge Base Article. It’s accurate, contextual, and fast. What’s more, it can reduce ticket volume and free up engineers to handle more complex or urgent problems. As a result, the customer resolves their issue in minutes with no back-and-forth or productivity loss.

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Take another example of a user uploading logs after encountering a defect. An instant resolution tool like a smart log analyzer can review the data, immediately flag the root issue, and respond to the user with a link to the fix. What you get is near-instant technical diagnostics and zero-escalation resolution.

Instant resolution has clear, real-world benefits in customer support: faster answers, fewer escalations, and a better experience for users. But beyond the promise of speed and convenience, how effective is it really? What does the data tell us about the quality and reliability of AI-driven support at SAP?

Let’s take a look at a few metrics that shed light on the performance of our Auto Response Agent and the value it can deliver.

Agentic AI turns support from reactive to action-oriented, dramatically reducing time-to-resolution while enhancing accuracy. For example, the confidence rate of SAP’s Auto Response Agent is at 80%. In other words, to avoid wasting the customer’s time, this agent can deliver highly relevant solutions with a confidence score of 80%. This is a strong indicator of the quality our AI agents can offer.

First contact resolution (FCR) is a general customer service KPI and indicates that the case is closed after the first interaction either with humans or with AI agents. The FCR rate for cases that are answered automatically by SAP’s new Auto Response Agent is currently at 40%. This is in line with what human interactions achieve.

AI-enabled self-service

Before AI, self-service in customer support was mostly static and manual, like FAQs, basic help articles, and keyword-based search. While these knowledge base articles are extremely helpful, customers had to dig through generic content, hoping to find something relevant, often with little guidance or context. There was no personalization, no real-time assistance, and limited ability to troubleshoot complex issues on their own. It worked for simple problems but often left users turning to human support for detailed answers.

Instead of prompting users to search through static FAQs or documentation, AI dynamically surfaces the most relevant knowledge base articles, fixes, or guided workflows based on issue context, behavior, and history. Instead of a manual hunt, customers can take advantage of an intelligent, conversational experience—often resolving issues before a ticket is even needed. The result? Fewer support cases, faster resolutions, and more empowered customers.

Thanks to SAP’s AI-integrated self-service offerings, we’re able to instantly resolve customer issues four out of the five times they come to us. Structured knowledge and content allows us to build AI and AI agents with high confidence levels. Currently, SAP’s customer support addresses over 82% of issues via self-service.

AI and the evolving role of human expertise

This move to augment auto response with AI isn’t about replacing people. It’s about freeing up people so that they can focus on high-impact tasks that need creative thinking and human insight. SAP’s instant response and resolution are only activated when the system is very confident with its response. Our commitment to the relevant, reliable, and responsible use of AI ensures that there’s no experimentation with customer cases that deserve hands-on attention from engineers and experts.

The road ahead

We move forward with a clear goal to achieve a support system that is faster, smarter, and more human because of its intelligent use of AI, not in spite of it. By augmenting first-touch support with agentic AI, SAP has a blueprint for handling simple and complex issues at all levels of enterprise support.


Stefan Steinle is executive vice president and head of Customer Support & Cloud Lifecycle Management at SAP.

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Keynote Highlights: Accelerate Value Across SAP Business Suite in 6 Minutes | SAP Connect

See the biggest moments from #SAPConnect 2025 – where SAP leaders and customers show how AI, data, and innovation turn bold ideas into measurable results.

In this highlight reel from the second SAP Connect keynote, we go beyond vision to execution – demonstrating how SAP Business Suite empowers organizations to move faster, connect smarter, and transform with confidence.

00:00 – Welcome & From Vision to Execution
01:20 – Anja Schneider on Turning Strategy into Impact
03:00 – Todd Inlander, Southern California Edison – Customer Perspective
05:15 – Sebastian Steinhaeuser and Irfan Khan on Data and AI in Action
07:10 – Michael Ameling on Extending and Automating with BTP
09:00 – Brenda Bown and Etosha Thurman on AI-Native Innovation in CX and Finance
11:10 – Hagen Heubach and Jessica Keehn on Connected Experience and Brand Momentum
12:45 – Closing Message – Seizing the Opportunities of Tomorrow

Anja Schneider opens the keynote by emphasizing SAP’s partnership-driven approach – helping customers turn potential into performance. She’s joined by Todd Inlander, CIO of Southern California Edison, who shares how SAP solutions help build agility and sustainability at scale.

From there, SAP leaders Sebastian Steinhaeuser, Irfan Khan, Michael Ameling, and Brenda Bown highlight how AI, data, and SAP Business Technology Platform connect every process and decision across the enterprise. Together, they illustrate how companies can extend, integrate, automate, and innovate on a unified foundation to deliver faster outcomes and greater resilience.

Marketing leaders Etosha Thurman, Hagen Heubach, and Jessica Keehn then showcase how AI-native applications reimagine customer experience, finance, and spend management—demonstrating how data-driven insight and human creativity combine to accelerate growth.

These highlights capture SAP’s core message: that business transformation happens when AI and data work together in one suite — where every decision is connected, every process is intelligent, and every idea can be turned into action. With SAP Business AI and SAP Business Suite, enterprises can innovate continuously and move with clarity in a changing world.

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Merrifield Garden Center Nurtures Omnichannel Innovation

A garden center and plant nursery may seem like a seasonal business, but Merrifield Garden Center is continuously evolving to meet the needs of its customers no matter the time of year.

Since its humble beginnings in 1971, Merrifield has flourished into one of the largest full-service garden center, nursery, and landscaping companies in its region, employing more than 600 individuals and comprising over 70 acres of plants, property, and storefront in northern Virginia. Its business includes three brick-and-mortar locations carrying plants, gardening supplies, and home and holiday décor; an online store; a wholesale division that supports other local landscape contractors; a materials production division that recycles materials from landscaping jobs; and a line of private-label products tailored specifically for the environmental conditions in the greater Washington, D.C. area.

Clearly, the business has expanded and evolved over the years to meet changing industry and customer standards, but its founding principles of providing the highest quality customer services and unparalleled plant and product selection remain steadfast. The same is true for the systems supporting the products and services in Merrifield’s retail operations. With its omnichannel strategy, it’s critical that Merrifield delivers a consistent, seamless, and personalized experience across all its customer touchpoints.

Blooming into a modern, tech-savvy enterprise

Luckily, CFO Lynn Warhurst has made it one of her personal goals to bring technology into the company since joining in 1978. “There was zero technology…so we knew going forward that if we wanted to grow and be successful, we needed to change something,” she said.

After coming across SAP at an NRF event in the early 2000s, Merrifield went live with SAP ERP Central Component (SAP ECC) in 2013 to replace its 20-year-old garden center legacy system, providing the company with modern audit trail capabilities and increased data reliability.

Reimagine your retail operations and create exceptional customer experiences with SAP

Continuing its long-standing innovation journey and partnership with SAP, Merrifield is now transitioning its SAP ECC system to the cloud with SAP S/4HANA Cloud Public Edition, retail, fashion, and vertical business.

Merrifield Garden Center sees up to 300 transactions per hour per location, Warhurst said, and so the company needed a solution with enhanced processing speeds that can handle a high volume of retail transactions. What’s more, the company also wanted a system that supports Apple Pay and Google Pay, has customer loyalty tracking and data analytics capabilities, and ensures enterprise security and compliance.

Merrifield also wanted to bring together its retail and wholesale divisions onto one platform as opposed to hosting them on fragmented solutions. “We knew [SAP S/4HANA Cloud Public Edition] could handle our complexity and give us the detail we needed to run and grow our business,” Warhurst said. “After 54 years in business, both divisions will run on the same platform. It’s very exciting that we can interchange cashiers for retail and wholesale, which means being more efficient as a company.”

SAP S/4HANA Cloud Public Edition, retail, fashion, and vertical business is a new solution introduced in January of this year. Built specifically for retailers, the ERP solution is tailored to the industry’s unique complexities around scaling, merchandising, store operations, and supply chains. The flexibility of its public cloud architecture helps unify and integrate industry-specific processes with out-of-the-box integrations.

Merrifield is also implementing SAP Omnichannel Sales Transfer and Audit to help ensure the completeness of sales transactions across multiple channels, improve data reporting, and comply with local regulations.

Strong partnerships build a foundation for success

To facilitate its cloud transformation, Merrifield engaged Syntax as its implementation partner. “Having a trusted partner is very important,” Warhurst said, explaining that Merrifield has worked with Syntax since 2018.

For the move to SAP S/4HANA Cloud Public Edition, retail, fashion, and vertical business, Syntax came on-site to Merrifield to experience its current system first-hand and better understand what the business sees as mission-critical during this transformation, Warhurst said. Together, they identified solution provisioning and integration, data migration, and business continuity as priorities. With this insight, Syntax is working with SAP to integrate any remaining project gaps into an upcoming solution release in August.

“Syntax and SAP have been great. We are one of the first to go public cloud for retail and they have been there for us,” Warhurst said. “It was very important to find somebody who believed in us and was there for us, and I feel that that’s really one of the most important things for our success.”

While the new system is projected to go live in September, the project is currently in the configuration and realization stage and Merrifield is excited for the future. Adopting this holistic, omnichannel, cloud-based solution will help the garden center achieve its goals of expanding into more locations and online offerings by having trusted, complete data from across its divisions available in one place.


Gillian Hixson is an integrated communications specialist at SAP.

Top image courtesy of SAP employee Tom Lennart-Krupp.

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Reimagining HR Service Delivery in the Age of AI

A great employee experience isn’t a nice-to-have—it’s a business imperative. Every interaction, every HR touchpoint shapes how employees feel, engage, and perform. But as expectations rise and workplaces evolve, HR teams need new ways to meet the moment. That means delivering faster, more personalized, high-quality support—and doing so at scale.

With AI-powered innovation and a unified approach to HR service delivery, organizations can create the seamless, connected experiences employees expect while unlocking new levels of efficiency and strategic impact for HR. That’s exactly what SAP is enabling with the SAP SuccessFactors Enterprise Service Management solution, recently delivered in the 1H 2025 SAP SuccessFactors HCM release and now available.

Leading companies like Döhler Group, a global producer of natural ingredients for the food and beverage industry, are already seeing the impact, with benefits such as:

  • 33% reduction in case resolution times
  • 4X productivity increase
  • 80% reduction in e-mail writing time using generative AI

Paul Wittig, head of HR Operations & Services, Döhler, said, “Enterprise service management for HR is a huge step towards a more digital and, therefore, more transparent and structured way of work.”

The future of HR service delivery is now

The employee experience is shaped not just by big career moments, but by everyday opportunities, interactions, and the ability to get support when it’s needed. That’s why one of the most critical HR touchpoints in any organization is the HR help desk—and it’s also one of the most overburdened.

HR service reps at large enterprises often work in shared business centers and are responsible for managing high case volumes and diverse requests, ensuring accuracy and compliance. They may process hundreds of service requests in a month, each taking 1-3 days to resolve depending on the complexity of the issue, leaving employees waiting for the answers they need and HR teams overwhelmed by volume.

When your people operate at their best, so does your business

But this model is evolving—advancements in technology solutions are fundamentally reshaping how this work gets done. It’s no longer just about processing more cases, faster. It’s about preventing many of those cases from being raised in the first place. Intelligent, AI-powered tools enable employees to find answers independently, reducing case volumes and allowing HR teams to focus on more complex issues that require human expertise.

According to Gartner*, “By 2025, 70% of organizations with more than 2,500 employees will have invested in an HR service management solution.”

The momentum is clear, and organizations taking action are already seeing the benefits: reduced case volumes, faster resolution times, and a more seamless experience for both employees and HR teams.

The potential of AI to transform service delivery is also reflected in recent SAP SuccessFactors research. In one survey, 89% of employees said their workplace experience would improve if they could use AI to get answers to HR questions. In a related survey, HR leaders identified self-service and other AI-enabled administrative tasks as the most valuable use cases for their teams—freeing them from repetitive requests and creating space for more meaningful conversations with employees, from career development to conflict resolution.

The question is: what does HR service really look like in an era where embedded AI has the potential to transform not just the speed, but the entire nature of support?

The benefits of a single cloud platform, powered by AI

SAP SuccessFactors Enterprise Service Management enables organizations to completely reimagine HR service delivery with a unified cloud platform powered by AI.

Enhancing the employee experience is among the top benefits of SAP SuccessFactors Enterprise Service Management. Delivering added value to HR, the solution can harness the power of AI to help search, analyze, and update the underlying knowledge base and policy data, enabling it to better address employees’ questions in the future before cases are generated. SAP’s AI copilot Joule can give employees instant access to the answers and support they need through collaboration tools, a rich knowledge base, and omnichannel self-service experiences.

For example, imagine an employee with questions about parental leave. Instead of submitting a case and waiting for an HR response, the employee can simply ask Joule the question from directly within the platform. Joule can provide accurate, personalized guidance based on company policies and the employee’s specific eligibility, helping to instantly resolve the inquiry without any manual intervention. If the question is more complex or requires documentation, the technology helps seamlessly create and route the case to an HR service rep, along with all relevant details, working to ensure fast, informed support. The best part: Joule can be accessed from anywhere across SAP and is not just contained within HR.

The solution also benefits HR teams by helping to simplify daily operations and significantly scale efficiency. SAP SuccessFactors Enterprise Service Management can enhance HR service delivery behind the scenes with AI-driven case management, automated document handling, and intelligent knowledge updates, working to reduce manual effort for service reps and improve compliance. AI at work is central to this process, enabling auto-classification of service requests, content summarization to give agents a concise, contextual view of each case, and next-best action recommendations to help resolve issues quickly and effectively. The solution can continuously learn from past interactions, helping to make classification and resolution processes smarter and more accurate over time. Generative AI can further elevate efficiency by automatically generating clear interaction summaries, consistent resolution recaps, and professional, personalized e-mail drafts—helping to accelerate case handling, enhance communication quality, and ensure a more seamless, consistent service experience for both employees and HR teams.

With embedded SAP Analytics Cloud, HR teams can gain real-time visibility into service performance, enabling data-driven decisions to further optimize operations and elevate the employee experience.

A win for the business, employees, and HR

SAP customers that already use SAP SuccessFactors Employee Central for core HR are well positioned to quickly implement and reap the benefits of SAP SuccessFactors Enterprise Service Management. Together, these solutions can create a unified, AI-powered foundation that can deliver personalized, compliant HR support at every touchpoint.

Real-time, trusted core HR data from SAP SuccessFactors Employee Central helps ensure employees receive accurate, context-aware support, while quick actions embedded in the solution can make it easy to complete common HR tasks with just a few clicks—all within the flow of work. Within SAP SuccessFactors Enterprise Service Management’s case management experience, HR service reps can also benefit from direct access to the SAP SuccessFactors Employee Central people profile, available as a mash-up, helping to provide immediate, secure visibility into relevant employee information without the need to switch systems. The solution can extend core SAP SuccessFactors HCM investments with a secure, compliant service layer to help maintain centralized data governance, streamline service processes, and reduce manual effort—working to ensure a seamless, intuitive experience for employees and HR teams alike.

We all know that HR is not just a back-office function. It is central to shaping employee experience and driving business outcomes. With SAP SuccessFactors Enterprise Service Management, powered by SAP Business AI, organizations can deliver the support employees expect while reducing HR workloads and improving efficiency. The result? A triple win for the business, employees, and HR.

Learn more about SAP SuccessFactors Enterprise Service Management for HR service delivery.


Lara Albert is chief marketing officer at SAP SuccessFactors.

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*Source: Gartner: Market Guide for Integrated HR Service Management solutions, May 2024

Grocery Wholesale Group Vital Transforms with SAP S/4HANA

Vital is in the midst of a digital transformation focused on moving to SAP S/4HANA. The biggest grocery wholesale group in Argentina is developing a clean core strategy and using analytics to drive the business while democratizing data access throughout the company.

In addition to groceries and food, the group sells electronics services and has around 400,000 customers, along with 80,000 business clients and more than 1,800 suppliers, according to Vital CIO and CTO Alexander Gonzalez.


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How Argentina’s Vital Transforms With SAP S/4HANA

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How Argentina's Vital Transforms With SAP S/4HANA

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Gonzalez is part of a new executive committee that is leading with the purpose of seeking to expand company reach, improve efficiency, and strengthen its market position.

“It all started in 2018, when we decided to have an analytics system and a clean core SAP system to make all the data available to all the different parts of the company so they can make real-time decisions on purchasing and pricing for our customers,” he said.

Gonzalez explained that this is particularly important in a nation like Argentina because prices are extremely volatile. “It’s important for us to have that information readily available because Argentina is a highly inflationary country, where prices change really quickly,” he said. For example, during the COVID-19 pandemic Vital sometimes had to change 20,000 product prices in less than a day, “so we have to do all of that analysis really fast.”

From finance and sales to the supply chain and beyond, your entire business can benefit from cloud ERP

Vital was a long-time SAP customer, but when it came to choosing a digital transformation technology partner, the company did its due diligence.

“One of the main reasons we chose SAP [S/4HANA] is we were used to using SAP,” says Gonzalez. “But we did do our homework. We analyzed our business and processes for a year, then we took six months to talk with a lot of suppliers, SAP included, and another three.”

Ultimately, he said Vital decided on SAP S/4HANA because it offered the potential to integrate a customer activity repository with its basic financial and core systems.

It took Vital 18 months to implement, but Gonzalez said the system “integrated with our providers on the first day and we had all this real-time data within a week of going live. So that was great for us.”

As a result, analytics that used to take three to four days can now be done in two hours and Vital can have a new pricing structure implemented in less three hours. Instead of employees wrangling Excel spreadsheets, Gonzalez said decisions are now based on real-time data and “are not influenced by what a person wants, but by what the data is telling them to do.”

Because all the company’s data — including customer data and POS data — are stored in a centralized customer activity repository, Vital now has complete visibility into that data and can use algorithms to predict sales and set prices and distribution priorities. “We can change our pricing policy based on reception of goods and new purchase orders and adopt new pricing in real time,” said Gonzalez.

Over the last year, he says, Vital saved around $35 million on perishables after the system warned managers that they would not be able to sell products on time. “We negotiated with our suppliers; we made offers and made predictions of how it would work out and it turned into a real savings — that’s what technology is doing for our company.”

Just as importantly, Gonzalez said Vital now works with one version of the truth. “In all of the applications every user sees the same data, be it clustered by store or by department. The result is the same for everyone. There’s no difference in what the financial department sees, what operations see, what our buying department sees, or what our pricing department sees. All the data is clustered in one huge data center.”

“The technology has really advanced how our users in the company experience data and decision making,” Gonzalez added. Instead of spending time pouring over spreadsheets and reports, much of the analytical work is now done by the system, enabling users to make decisions in real time, for example, while they are negotiating with a supplier.

Now Vital is in the process of migrating all its applications, including its ERP, to the cloud. “All our applications are cloud-ready, and we maintain a clean core, so we can upgrade really fast,” said Gonzalez, who expects to be ready to make that the move by the end of the year.  

The Vital CIO and CTO is also looking to AI to help the company’s employees make even better purchase and pricing decisions. “We don’t see AI as replacing our personnel or people in the industry,” he said. “We see it at enhancement, we see it as turbocharging our system and making the data more reliable and useful.”

Gonzalez believes that other companies can learn from Vital’s experience democratizing access to data.

“A lot of companies regard their data as really private and don’t share it with everyone in the company,” he noted. “We are open with the data. We tell everyone– from our people in the stores to our managers and our directors — that they have all the same data. This has really opened us up to be a really integrated and group-friendly company.”

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SAP Business Technology Platform provides integrated solutions for app development, automation, AI, and data to help you solve real business problems, innovate faster, and connect your enterprise.

Whether you’re a developer or business leader, the time is NOW to explore SAP.

How Retail Media Can Make Cash Registers Ring

German city centers are fighting for survival, and they need to reinvent themselves. How? With innovative technologies that improve efficiency, boost customer loyalty, and unlock new revenue streams for retailers. Retail media is the name of the game here. According to the Interactive Advertising Bureau (IAB) Europe, it will generate some €25 billion in revenue in 2026—more than twice as much as in 2022.

It’s the same story everywhere: Germany’s downtown shopping streets are struggling with high retail vacancy rates. Holstenstraße, one of the country’s oldest pedestrian shopping zones, is no exception. Here, in the heart of the Baltic Sea coast city of Kiel, capital of the state of Schleswig-Holstein, the store vacancy rate is 38.5%. In an effort to revive the city’s retail scene, its marketing department launched an innovative initiative known as Zukunftsraum (“future space”). In the brick-and-mortar shopping environment of a pop-up store, retailers can explore the opportunities that new technologies bring. “Collecting data and using it effectively is central to gaining a better understanding of customer requirements and to unlocking new revenue streams,” Käthe Fleischer says. As an interim manager for business development on the Kiel pilot project, she knows that data collected in stores is the key to more effective and personalized marketing.

Grasping the power of a new business model

Enter retail media, an opportunity for retailers to generate additional revenue and bolster their cash-strapped coffers by selling physical and digital advertising space. “Many retailers have not yet recognized the value that this new form of advertising can unlock,” says Marlene Lohmann, head of Marketing Research at Germany’s EHI Retail Institute. Referring to the results of a recent study, she reports that while some front-runners—including leading German retailers REWE, Lidl, OBI, dm, and Douglas—have adopted this new business model, the retail landscape as a whole has a lot of catching up to do. “Retail media is still very much in its infancy,” she says.

Address specific retail industry needs to help achieve cost-effective transformation and sustainable growth

Yet its potential for the sector is immense. And ultimately, it’s a win-win for everyone: retailers profit from new sources of revenue and manufacturers can target potential buyers with greater precision. Quoting a consumer study by Kantar, Dirk Sperrfechter, an expert at the market research firm, says: “Consumers rate contextually relevant advertising at the point of sale as particularly authentic and helpful.” The number of touchpoints, he adds, also plays a key role in how retail media advertising is perceived.

Retail media unlocks a multitude of benefits

Retailers should be using these findings to their advantage. And, indeed, more and more are doing so, at least online. Sponsored ads are everywhere these days—in web shops, on social media, and in online newsletters—but they still leave much to be desired in terms of personalization. But the potential of in-store solutions such as screens and digital totems often remains untapped as well. This is probably partly because different sales channels are often poorly integrated, making it difficult to consolidate the first-party data they generate.

“What retailers need most of all if they want to unlock the added value of retail media are powerful technologies for collecting, cleansing, and enriching customer data,” Lohmann says. Ultimately, they need to be able to analyze their first-party data in detail and segment it. If they do not have reliable metrics at their fingertips, they will struggle to persuade interested manufacturers and brands of the potential of the advertising space they want to sell.

Smart technology and SAP Business Data Cloud as enablers

This is where SAP comes in. “Our cloud solutions for retail help retailers generate and provision relevant data about customer behavior, clearance sales, promotions, and prices,” explains Stefan Binkowski, vice president, Retail & Wholesale Advisory, SAP Deutschland. In the newly launched SAP Business Data Cloud (SAP BDC) solution, retailers can consolidate data from manifold sources with ease. First presented at SAP Business Unleashed, SAP BDC can integrate all SAP and non-SAP business data and, in so doing, helps provide a foundation from which to get up and running with retail media.

SAP offers what enterprises need to build and implement a robust retail media strategy: smart store technologies for tracking customer frequency rates, interactions, and so on with ease; intelligent analyses for gaining detailed insights into customer behavior, preferences, and needs; a data platform for collating all the relevant information; and, last but not least, an omnichannel customer engagement platform for planning and implementing targeted retail media campaigns. “Generating added value from data is central to SAP’s strategy,” Binkowski says. “Once retailers recognize the value of their data, they can take full advantage of the untapped potential that retail media offers.”

Retail media is one of the topics on the agenda for the German-speaking SAP User Group’s retail conference (DSAG-Handelstagen) on July 1 and 2 in Osnabrück, Germany. The event will look at the technological aspects of leveraging customer data and retail media in the industry, which smart technologies come into play, and how SAP BDC can contribute to the success of this marketing concept. Sign up today.


This also appeared on the German SAP News Center.

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Game-Changing AI: Team Liquid and SAP Join Forces for Next-Gen Esports Analytics

In the fast-paced world of esports, victory isn’t just about reaction time and skill—it’s about making the right decisions at the right moment and picking the right strategy. Team Liquid, one of the most decorated organizations in competitive gaming, has consistently pushed the boundaries of performance, secured more than 140 major titles, and started 2025 with winning the League of Legends Championship of the Americas (LTA).

With major tournaments generating millions of data points every minute, esports has become increasingly data-driven. League of Legends is one of those highly strategic games, which generates vast amounts of data. Team Liquid faced the challenge of quickly analyzing and interpreting complex statistics without having to search different dashboards and making the data available to more users across the business. But how can players, coaches, and analysts efficiently access the information in natural language without slowing down decision-making?

Drive productivity with omnipresent, always-on, and proactive AI

AI-powered insights as a game-changer

To perform at the highest level in professional gaming, Team Liquid is constantly thinking of new ways to gain more insights from its data. Traditionally, Team Liquid analysts manually gathered data from multiple sources, slowing decision-making and limiting real-time strategy adjustments. In the Next Level Esports Center built on SAP Business Technology Platform (SAP BTP), Team Liquid centralizes its game data, ensuring a single source of truth for performance analysis. However, accessing insights remained a challenge for non-technical users like players, coaches, and marketing teams, who needed a more intuitive way to extract even more meaningful data.

With agents in SAP’s AI copilot Joule, Team Liquid is entering a new world of getting fast and precise insights out of its existing database. By simply typing in a question about a respective player or team, the agents can go through more than 1.6 terabytes of game data from 10 million games to find the right answer to the question and can even suggest strategies to beat the opponent. This allows both analysts and non-technical users to request insights using natural language, eliminating the need for manual data retrieval. With seamless integration of SAP HANA Cloud and SAP Analytics Cloud, Team Liquid gains a robust and scalable data infrastructure, ensuring fast, actionable insights. Joule enables users to instantly access game statistics, player performance trends, and strategic comparisons, making critical information available within seconds.

The impact of Joule Agents can be truly game-changing:

  • Faster data access: Analysts can retrieve and analyze data instantly, which saves valuable time and enhances preparation for upcoming matches. With easy access to insights, different departments from coaching teams, marketing, or communications can align their strategies or content based on data-driven narratives.
  • Empowered users: Players, coaches, and staff can effortlessly access insights through AI-driven queries, improving their ability to make data-informed decisions.
  • Enhanced strategy: Real-time data comparisons can enable precise, data-backed decisions, giving Team Liquid a competitive edge in one of the most dynamic gaming environments.
  • Proactive pattern recognition: The agents can uncover patterns in the large data sets that might not have been discovered in manual data analysis.

With agents in SAP’s AI copilot Joule, Team Liquid is preparing to unlock AI-driven analytics that will make critical insights instantly accessible. “Thanks to SAP’s AI copilot Joule and the upcoming Joule Agents, even non-technical users like our players and coaches will be able to ask for the data they need using natural language queries. What once took hours of manual work will become available instantly, driving our strategies and enhancing team performance,” said Haitham Algbory, head of Analytics & Data, League of Legends at Team Liquid. “This partnership is setting a new standard in esports, proving that AI and data integration are the future of competitive gaming.”

Team Liquid embraces AI-powered analytics and pushes the boundaries of innovation, proving that the future of esports is data-driven and that AI can play a crucial role. As competitive gaming continues to evolve, AI solutions like Joule will be critical in unlocking the full potential of esports teams and maintaining competitiveness.

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