SAP has been named as a Leader in the 2024 Gartner Magic Quadrant for Warehouse Management Systems. For the 11th consecutive year, SAP is positioned in the Leaders quadrant based on Ability to Execute and Completeness of Vision.

We believe that this recognition confirms our strategy in logistics, which is based on three pillars:

• Connecting every process to facilitate synchronized logistics execution, supporting highly efficient and fast-paced fulfillment cycles through seamless integration with logistics applications like SAP Transportation Management, SAP Business Network for Logistics, etc.
• Collaborating within a diverse ecosystem of system integrators, software partners, hyperscalers, hardware partners, and robotics OEMs, with warehouse management being an integral part of cloud ERP.
• Contextualizing every decision leveraging artificial intelligence (AI) and machine learning to optimize operations and to provide business insights

SAP Extended Warehouse Management (SAP EWM) is an integral part of the overall SAP strategy and gives companies the ability to operate modern warehouses that must respond quickly to changing business conditions. The flexibility of SAP EWM helps manage a high volume of goods and run sustainable, risk-resilient operations with digitized warehouse processes in the cloud including direct control of warehouse automation equipment.

SAP continues to innovate in SAP EWM based on market analysis and even more importantly based on feedback from our global install base and ecosystem. Recent innovations include cross-process integration in the areas of transportation, production, and quality management, addressing industry-specific requirements, extensibility, and usability.

SAP EWM combined with SAP Transportation Management and SAP Business Network for Logistics provides a platform for companies to collaborate with their logistics partners to gain end-to-end visibility and insights across their logistics operations.

Our global partner network — made up of systems integrators, business consultants, and technology providers — helps our customers manage their warehouse management transformations, whether they be system replacements, upgrades, greenfield deployments, or part of larger enterprise transformations. 

“Warehouse Management with SAP EWM is an integral part of our cloud ERP offering,” said Till Dengel, global head of Logistics and Manufacturing Product Marketing at SAP. “Customers use SAP EWM to manage their warehouse operations in 66 countries and 24 industries.”

“SAP Extended Warehouse Management helped Bridgestone reduce errors, with a new level of productivity and safety.”

Eric Dyason, National Distribution Manager, Bridgestone New Zealand Ltd.

Get more details on the latest
Gartner Magic Quadrant for WMS here.

Ganesh Wadawadigi is chief product marketing owner for Logistics at SAP.

*Gartner, Magic Quadrant for Warehouse Management Systems, Simon Tunstall, Dwight Klappich, Rishabh Narang, Federica Stufano, 2 May 2024

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

From cloud to generative AI, the list of new and emerging technologies continues to grow in our era of digital intelligence. Yet it’s also the era of inflation, geopolitical tension, supply chain disruption, and countless other challenges. How are businesses supposed to make sense of all these technologies – let alone transform their businesses with them – while simply trying to survive during such a challenging time?

That’s where Claudio Muruzabal, chief business officer of SAP SE, steps in.

Muruzabal is responsible for supporting the Customer Advisory solution area and Customer Success Management & Engagement teams at SAP. For more than eight years, he has played an important role in understanding not only an increasingly complex technology landscape but also how businesses actually use the technology at their disposal. He supports teams that help bring SAP customers closer to their goals by leveraging SAP solutions. This begins with advising customers through honest conversations about how they can apply the intelligent capabilities now included in many SAP solutions, such as generative AI.

I sat down with Muruzabal to find out more about his role, how SAP customers are winning with intelligent technology, and the growing impact of customer success management at SAP.

Q: AI is all the rage today, so let’s start there. What are the biggest opportunities for businesses to use AI?

Muruzabal: Opportunity is everywhere for AI. And it’s bigger than just automating processes to increase efficiency, which is what was talked about for the longest time. At SAP, we’re seeing how AI can support relevant business processes to instill innovation and competitiveness. While many players in the industry are focused on developing AI engines and large language models, we are focused on accelerating business value through generative AI. I could talk all day about how AI is transforming data analytics and decision-support systems as well as supply chain optimization, predictive maintenance, and HR. Every day we are discovering new opportunities for customers to leapfrog their competition when they combine the power of generative AI with the context of their business data and processes.

What are some examples of how SAP customers are using AI, and what value have they realized so far?

There’s really so much to get excited about when it comes to how our customers are using the AI capabilities included with their SAP solutions. Across industries, workers everywhere are using natural language to instantly get the data insights they need using the SAP Analytics Cloud solution. I like how busy recruiters can tap into generative AI with SAP SuccessFactors solutions to create compelling job descriptions and interview questions in less time. Joule, our AI assistant and copilot, can support end users in getting the right answers on how to get the most of our cloud solutions. With Joule already embedded across the portfolio – generally available in SAP SuccessFactors HCM, SAP Start, and SAP S/4HANA Cloud – we are all excited about the opportunities for our customers.

All industries can get this unique value, including professional soccer clubs FC Bayern Munich and Hertha BSC that are using a scouting prototype powered by AI to find and develop the next generation of star athletes.

AI can solve a lot of problems, but what about the underlying foundational technology stack companies have today? What conversations are you having with businesses about their technology investments?

Early on in our conversations with customers, it’s important to understand how businesses can set up their core, foundational enterprise technology platform running in the cloud. This is critical to establish a journey of innovation including SAP Business AI. Coming back to the foundation, many of our customers have built numerous modifications on top of their core ERP. In order to build a true cloud operating model – essential to embrace innovation including AI – it is critical to move to a clean core model. This means that any modification to the ERP functionality offered by SAP is built outside of the core, using extensibility solutions. This is not a technical topic only. Although clean core contributes to the cost-efficient operation of the platform, the true contribution is bringing flexibility and adaptability to the business, converting the cloud operating model into a unique “innovation as a service” platform.

What makes SAP unique and stand out to customers with its value proposition?

SAP has the unique value of being the global leader in best of suite solutions built with more than 50 years of industry knowledge and ERP technology leadership. On top of this, our leading “best of breed” solutions, such as in HCM, customer experience, intelligent spend and business network, and more, can provide the best functionality and the right integration into the core. Only SAP can offer this value proposition. When we combined this with the cloud operating model – widely adopted by our RISE with SAP customers – we provide exponential value for the innovation as a service proposition.

How can customers get the most from their investments? What kind of support is there to help them transform and innovate?

Customer success management is essential in the cloud. It is the end-to-end engagement with our customers, from advisory to sales execution to onboarding, adoption, and consumption. We provide the tools, assets, and content to help accelerate adoption and consumption so as to maximize the value from first use of the solution to full and future use. SAP Preferred Success services can accelerate the time to value even more. To support this motion, deep telemetry being built into our cloud solutions allows customers and our customer success management leaders to better understand how the solutions are being used while identifying opportunities to expand usage.

Where do advisory services fit into the customer journey?

Customer advisory services might be the most essential part of the journey with a customer. Successful projects start with the right business case definition, anchored in the best understanding of the industry and business of our customers. With that in mind, our Customer Advisory teams support building the right technical solutions that can support an enterprise architecture. This is the first step in moving in the right direction of building the cloud operating model.

WALLDORF — SAP SE (NYSE: SAP) today announced that it has extended the contract of CEO and Member of the Executive Board Christian Klein (44) for three years, until the end of 2028.

The company has also strengthened Klein’s role, making him chairman of the Executive Board, where he was previously speaker. Klein joined the SAP Executive Board in 2018 and was named co-CEO in October 2019 before being appointed the sole CEO of SAP SE in April 2020.

“In his role as CEO, Christian Klein has consistently driven SAP’s transformation to a cloud company,” said Professor Hasso Plattner, chairman of the Supervisory Board of SAP SE. “I would like to thank Christian Klein for his outstanding contribution to SAP’s success. With the early extension of his contract and a further strengthening of his position, we are clearly underlining his important role in SAP’s ongoing transformation. We are convinced that this will lay the foundation for SAP’s continued growth in a highly dynamic IT industry.”

“I would like to thank the SAP Supervisory Board for their trust in me. I look forward to continuing the strong cooperation with my SAP Executive Board colleagues as well as our employees, partners, customers and investors,” said Klein. “Together, we have successfully driven our strategy, and it is a privilege to lead SAP on its journey to be the number one enterprise application and business AI company.”

Klein started his career at SAP in 1999 as a student. After holding various positions across the company, including chief financial officer of SAP SuccessFactors and SAP’s chief controlling officer, he was appointed chief operating officer of SAP in 2016, a role in which he continued until 2021.

Visit the SAP News Center. Follow SAP at @SAPNews.

Media Contact:
Marcus Winkler, +49 6227 767497, marcus.winkler@sap.com, CEST 
SAP Press 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 SAP’s 2023 Annual Report on Form 20-F.
© 2024 SAP SE. All rights reserved.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE in Germany and other countries. Please see https://www.sap.com/copyright for additional trademark information and notices.

Artificial intelligence is by far the disruptor of the decade. It can search, summarize, and analyze vast data stores, putting data-driven insights at employees’ fingertips in a matter of minutes. It can also generate content, anything from text to software code, streamlining workflows and saving precious time and money.

And that’s just the surface. We are still learning just how far reaching the implications could be in the workplace.

As we explore this new realm and AI’s vast potential, SAP has adjusted its strategy with the goal of becoming not only the leading enterprise application provider but also the No. 1 business AI company. The foundation is now available with SAP Business AI that offers SAP customers a reliable, relevant, and responsible AI solution portfolio.

A key element of that strategy is leveraging SAP partners’ expertise. The trusted relationships our partners have developed with our joint customers are essential to communicating the value of AI solutions from SAP and finding the best SAP products to meet their business objectives. It also poses a great opportunity for partners to expand their business.

But first, let’s take a step back and explore why SAP is best positioned to deliver on the business AI opportunity.

SAP’s AI Advantage

Deep Business Process Knowledge
Before AI can make operations faster, data-driven, and more effective, organizations must optimize business processes. SAP brings a deep understanding of business processes to AI applications, enabling solutions that orchestrate workflows, data sharing, and automation for the greatest efficiency and productivity.

SAP Data
AI solutions require data to train their algorithms to provide accurate, relevant, real-world outputs. SAP can draw on business data from thousands of customer systems across the value chain, helping to address our customers’ challenges and drive their digital transformation.

Focus on Application Creation
SAP is partnering with technology providers to make the most of the AI opportunity by creating value with new applications. For example, large language models (LLMs) will become solution differentiators. LLMs perform a range of natural language processing tasks. Combining LLMs with AI solutions automates insight delivery, freeing users from the need to wait for help from their IT or data science departments. It allows companies to focus on data insights, rather than devoting focus to the technology that produces them.

Strong Partner Ecosystem
SAP recognizes that it cannot reach the full addressable market alone. That is why our more than 25,500 partner ecosystem is a huge advantage when offering business AI solutions. Working together, we can drive innovation, accelerate AI road maps, and expand AI capabilities beyond its own limitations.

I cannot underscore enough how important that fourth component is to our AI strategy. It is a linchpin to our success. That’s why we must ensure we are creating win-win scenarios for our partners that benefit us both for the long term.

Partner Opportunities

While AI offers a range of benefits to SAP customers, it also represents a significant business opportunity for SAP partners. As a part of the SAP ecosystem, partners can provide advanced functionality out of the box with embedded AI capabilities within SAP applications. They must also take advantage of the virtually endless opportunities that AI offers regardless of the chosen SAP partner business model:

• Sell: Partners that resell SAP solutions can leverage the embedded AI portfolio from SAP to accelerate RISE with SAP and GROW with SAP deals. Sell partners can also enhance the appeal of the cloud with AI capabilities exclusive to SAP cloud solutions and enlarge deals with AI units from SAP required for premium AI capabilities.
• Service: Service partners can drive adoption of SAP’s AI portfolio and custom AI capabilities built on SAP by bundling them with services and support. This approach enables customers to gain value through customized generative AI use cases built on the foundation of SAP Business Technology Platform (SAP BTP), including the generative AI hub, and accelerate their cloud migrations and business transformation, backed by partners’ expertise.
• Innovate: Partners also have the opportunity to develop innovative AI solutions and extensions to enhance the SAP portfolio. Partners can build customer-specific and repeatable use cases with AI services from SAP on SAP BTP and augment customer business processes.

Take the Next Step

Ready to expand your partnership with SAP to build on the AI opportunity? Explore our AI portfolio and visit SAP Partner Portal site to learn more. If you’re not currently an SAP partner, there’s never been a better time to explore the benefits of becoming a part of the SAP ecosystem.

If you’re ready to start your SAP partnership journey and provide businesses in your market with reliable, effective AI solutions, get started here today.

Karl Fahrbach is chief partner officer at SAP.

In the 2024 Gartner Magic Quadrant for Process Mining, SAP Signavio has once again been recognized as a Leader in the market based on Completeness of Vision and Ability to Execute.

This is the second year in a row that SAP Signavio has been positioned as a Leader in the report. We believe that this positioning implies that SAP Signavio is a key driver for SAP’s growth and long-term strategy.

According to the Gartner Magic Quadrant research methodology, “Leaders execute well against their current vision and are well positioned for tomorrow.”

Our solutions solve today’s real and diverse customer use cases — operational excellence, compliance, automation, transformation, etc.– and recognizes that we have a compelling vision for a future in which process automation and process AI open up new opportunities for our customers and partners.

SAP Signavio continues to focus on ensuring the long-term success of all of our customers and partners.

Revenue NSW

In the Australian state of New South Wales, the tax collected by Revenue NSW accounts for more than 35% of finances, helping fund essential services, from healthcare to education and policing.

With a vision to be the world’s most innovative and customer-centric revenue agency, Revenue NSW set out with a very specific objective: it wanted to analyze cases in which clients had overpaid land tax to identify why these overpayments occur and what experience clients received when obtaining refunds. This analysis would not only help reduce overpayment volumes and improve the client experience, but also enable the agency to work more efficiently for its diverse stakeholders.

“As part of our Aspire 2032 strategy, our vision is to be the world’s most innovative and customer-centric revenue collection agency,” shared Jocelyn Yem, director of Strategy and Innovation at Revenue NSW.”‘Embrace Innovation’ is one of our strategic focus areas, where we can respond to our customers’ needs by embedding a culture of continuous improvement. SAP Signavio Process Intelligence has helped us achieve our first stage in this journey.”

“SAP Signavio Process Intelligence has painted a clear picture of why clients pay too much land tax and how we can process refunds smoothly, along with a detailed road map to help us put these insights into action,” confirmed Sabrina Bazouni, director of Land Tax at Revenue NSW.

Fujitsu Limited

Recognizing the wide-ranging effect of business process transformation solutions, Fujitsu Limited has embraced SAP Signavio solutions across its operations and portfolio.

At one of its manufacturing plants in Japan, Fujitsu used the SAP Signavio Process Intelligence solution to gather process execution data directly from the shop floor into the continuous improvement model the company had been using for many years. Integrating process data into the Kaizen discussions delivered never-before-seen insights, which helped the company further optimize its shop-floor processes and transform their Kaizen from traditional to digital, using process mining to generate data-driven insights.

This firsthand experience of the solutions has also allowed Fujitsu to enrich its customer offerings with new frameworks, insights, and tools that can help customers realign their organizations and make changes at speed.

Having seen the potential of SAP Signavio solutions, Fujitsu now plans to extend its use both internally and externally. One such planned initiative involves combining the concepts of the digital twin on an organization and the intelligent enterprise, using business process transformation solutions as the mechanism of change.

Download a complimentary copy of the report here.

Dee Houchen is global head of Market Impact for SAP Signavio.

Gartner, Magic Quadrant for Process Mining Platforms, Marc Kerremans, David Sugden, Nick Duffy, 29 April 2024 

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