Eyes on the Future—From Eyewear to Smart Wearables

Iconic and globally established brands owned by EssilorLuxottica—including Ray-Ban, Oakley, Varilux, and Crizal (lenses)—shape how millions of people see and experience the world.

With a global retail network that includes Sunglass Hut, LensCrafters, Vision Express, and Apollo, the company operates at the intersection of medical technology, consumer fashion, and retail.

From eyewear to smart wearables

In recent years, EssilorLuxottica has extended its brand into wearable technology, blending eyewear with digital capabilities. Smart glasses equipped with cameras, microphones, speakers, and integrated display technologies represent a new frontier where utility, lifestyle, and connectivity converge.

SAP Named a Strategic Leader in the 2026 Fosway 9-Grid™ for Cloud HR

SAP has once again been named a Strategic Leader in the 2026 Fosway 9-Grid™ for Cloud HR, reinforcing our position as a trusted partner for organizations navigating workforce transformation. We have continued to invest in our portfolio to deliver the HCM platform that organizations need to succeed in the future, bringing together trusted AI, reliable data, and critical HCM processes across the entire employee lifecycle. Our placement as a Strategic Leader reinforces our momentum and the value our customers see from our solutions.

As AI reshapes the way organizations attract, develop, and support talent, leaders need more than systems of record. They need intelligent solutions that help them understand what’s happening across their workforce, anticipate what’s next, and take action with confidence.

We believe this recognition reflects SAP’s continued investment in AI-powered innovation across SAP SuccessFactors solutions and our commitment to helping organizations build a more connected, intelligent, and proactive approach to workforce management.

“AI is rapidly expanding what HCM platforms can do, but buyers need providers that combine innovation with real operational depth and consistent execution,” said David Wilson, CEO and founder of Fosway Group. “SAP SuccessFactors has accelerated its rollout of AI features across HCM and expanded its integration with AI agents, offering more options to HR leaders. It is a Strategic Leader in the 2026 Fosway 9-Grid™ for Cloud HR, and SAP’s Excelling Trajectory in 2026 reflects its increased market performance and customer advocacy as well as continued innovation in both AI and core capabilities.”

Building the foundation for Autonomous HCM

This recognition comes at a pivotal moment for HR.

As AI continues to reshape work, organizations are moving beyond questions of efficiency and automation and focusing on a broader challenge: how to build more agile, adaptable, and resilient workforces.

At Success Connect, discover how SAP SuccessFactors unlocks the power of Autonomous HCM

The next era of HCM will be defined not by automating processes, but also by helping organizations make better decisions. That’s why we introduced our vision for Autonomous HCM earlier this year at SAP Sapphire.

As part of SAP’s broader vision for the Autonomous Enterprise, Autonomous HCM brings together trusted workforce and business data, embedded AI, and HR processes to help organizations connect workforce decisions more closely to business outcomes.

As skills requirements evolve and business priorities shift, leaders need more than workforce data. They need the ability to understand implications, evaluate options, and act quickly.

At its core, Autonomous HCM is about closing the gap between knowing and doing. By bringing together workforce data, business context, and AI, organizations can move from understanding workforce challenges to taking action on them.

Traditionally, organizations have relied on reports, dashboards, and manual processes to identify workforce issues and determine next steps. While these tools provide valuable insights, they often leave leaders to interpret information and coordinate actions across disconnected systems and processes.

Autonomous HCM envisions a different approach. By combining AI, workforce intelligence, and business context, organizations can surface recommendations, automate routine work, and help employees, managers, and HR teams take action directly within the flow of work.

Whether identifying emerging skills gaps, recommending learning opportunities, supporting hiring decisions, streamlining employee support, or helping managers respond to workforce trends, AI can help organizations move more quickly from insight to action and achieve better outcomes.

Turning AI into action

Over the past year, SAP has continued to invest in innovations that help organizations connect workforce insights with better decisions and outcomes, including:

Next month at Success Connect at SAP Connect, we’ll share new innovations and customer stories that demonstrate how organizations are using our solutions to adapt more quickly to change, create more agile workforces, and move toward the vision of Autonomous HCM.

Delivering meaningful outcomes

The journey toward Autonomous HCM is already underway for many organizations.

PostNL is using SAP SuccessFactors solutions and Joule to transform payroll and employee support experiences. By implementing AI capabilities, such as Explain Pay, the company has reduced payroll processing time by 90%, from five days to four hours, and expects to reduce payroll support costs by 80% while delivering faster, more personalized assistance to employees.

Frit Ravich is embracing AI as part of its broader workforce transformation strategy. Through SAP SuccessFactors solutions and Joule, the company is using AI to support talent acquisition, skills development, and employee growth while creating a more personalized and accessible employee experience. The company is also advancing its journey toward becoming a skills-based organization, using AI to help connect people with learning and development opportunities.

These examples highlight how organizations are using AI not just to automate work, but to improve decision-making, enhance employee experiences, and create measurable business value. They also demonstrate how the journey toward Autonomous HCM is already taking shape across organizations today.

Looking ahead

AI is creating new opportunities for organizations to rethink how work gets done and how people can thrive.

Our focus remains on helping organizations connect workforce insight with action through trusted data, embedded AI, and end-to-end HR processes. By bringing together workforce and business data in a unified foundation, SAP SuccessFactors solutions help organizations build toward Autonomous HCM and create better outcomes for employees and the business.

We are grateful to our customers whose trust, partnership, and innovation make recognitions like this possible.

Learn more about SAP’s position in the Fosway 9-Grid™ for Cloud HR and how SAP SuccessFactors solutions are helping organizations build the foundation for Autonomous HCM and the future of work. 


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About the Fosway 9-Grid™
Fosway Group is Europe’s #1 HR industry analyst. The Fosway 9-Grid™ is a five-dimensional market analysis model that helps organisations compare solutions based on Performance, Potential, Market Presence, Total Cost of Ownership and Trajectory.
The Fosway 9-Grid™ for Cloud HR provides a unique assessment of the principal Cloud HR options available to organizations in EMEA. The analysis is based on extensive independent research and insights from Fosway’s Corporate Research Network of over 250 organizations, including BP, HSBC, PwC, Sanofi, Shell, and Vodafone.
Visit the Fosway website at www.fosway.com.

Colombina’s Cloud Move with SAP Delivers Faster Delivery, Stronger Security, and AI Readiness 

Ninety-nine years ago, in the fertile valleys of western Colombia where sugar cane is plentiful, Don Hernando Caicedo imagined turning the colors, shapes, and flavors of tropical fruits into luscious hard and soft candy treats. 

His dream led to the founding of Colombina and to a colorful corporate logo inspired by a character from an Italian opera who swung on the moon. In the 1960s, his son, Don Jaime H. Caicedo, took over the company and drove a major transformation, diversifying its offerings and expanding sales abroad.

Expansion 

That early spirit of reinvention has continued to shape Colombina’s growth, turning a family-founded confectionery business into a diversified food company with international reach. Today, Colombina is a multinational leader in food production with a portfolio of 19 categories, including confectionery, cookies, chocolate, sauces, preserves, ice cream, and coffee, along with a global workforce of more than 8,000.  

Discover how Colombina has improved user experience, performance, security, and business operations across its global organization

From seven processing plants and 39 distribution centers in Colombia, Venezuela, Central America, and the U.S., Colombina serves 750,000 customers in more than 90 countries worldwide and generates annual sales of almost US$1 billion. 

But with a global footprint spanning manufacturing, distribution, and retail, the company had to continually review and adapt specialized technology solutions for each market segment.  

Colombina’s leadership recognized that this fragmented approach made it difficult to ensure the integrity, availability, and confidentiality of business information at scale, and that the company needed to standardize processes across dozens of markets while continuing to grow sales and manage costs. 

IT priorities 

Colombina identified key areas in need of standardization, particularly finance and supply chain management, and recognized that a unified technology foundation was critical to sustaining growth and operational efficiency.  Security also emerged as a top priority, shaping many of the technology decisions that would follow. 

To address these challenges, it embarked on a major transformation led by CIO Jesús Brand, a long-time ASUG Colombia chapter president and respected figure across the region. Colombina’s objective was to effectively use data to achieve its business goals faster and with less risk. 

By moving to the cloud, Colombina was seeking to streamline product planning, manufacturing operations and models, and quality management processes. It also focused on simplifying supply chain tasks, including inventory, warehousing, delivery and transportation, order promising, and logistics material identification.  

RISE with SAP 

A long-term SAP customer, Colombina signed up for RISE with SAP, migrating from SAP ERP Central Component to SAP S/4HANA Cloud Private Edition in a full, simultaneous migration executed across 16 countries. The solution covers key business functions including finance, asset management, manufacturing, supply chain, and sales, but the company went a step further. 

To harmonize its operational data, Colombina integrated its cloud ERP with a broad ecosystem of SAP solutions, including SAP Fiori, SAP SuccessFactors, SAP Integrated Business Planning, SAP Analytics Cloud, and SAP Ariba, among others.  

At the same time, John Carlos Jaramillo, an IT project manager at Colombina for over 20 years, noted that governance and security were strengthened through SAP Cloud Application Services, which helps run, manage, and continuously optimize the company’s expanded SAP landscape. 

Jaramillo also highlighted the value derived from engaging with the SAP Enterprise Architect, particularly through strategic advisory and guidance on adoption opportunities. He emphasized the benefit of gaining a clearer understanding of the contractual entitlements available to the organization, enabling more effective utilization of existing SAP investments and maximizing the value of their licensed capabilities. 

He also highlighted the guidance provided around key strategic initiatives, including clean core, helping drive a sustainable and extensible ERP landscape; SAP Cloud ALM, enabling stronger operational visibility and application life cycle management practices; and Joule Base, supporting the exploration of AI-driven capabilities and accelerating the organization’s journey toward business innovation and increased user productivity. 

Security benefits 

Among the overall security benefits, the new system provides protection at different layers, including the operating system, applications, and users, while delivering low downtime and quick, thorough resolutions. Before implementation, system downtime was a significant issue for Colombina; now, with double the number of application servers, downtime has been reduced and most customer issues can be resolved within 45 minutes. 

Colombina’s IT team also reports high confidence when looking ahead to updates, with reduced concerns thanks to predictable update windows that typically take place at the weekend. In addition, the new system provides early watch alerts, enabling the IT team to get in front of potential risks on a day-to-day basis. SAP for Me helps monitor and maintain the flow of these activities and gives a clear view of current infrastructure, operating system, activities, and risk profiles. 

Tangible results 

The impact has been tangible: Colombina now offers next-day delivery and has improved average customer response times by more than a third. Workload distribution has improved dramatically, while the business has seen fewer customer returns, stronger demand planning, and more efficient HR management. 

But the company is not stopping there. Having introduced Joule for SAP SuccessFactors, Colombina is preparing to activate Joule Agents across its business and is implementing SAP Databricks for data models, working with SAP Business Data Cloud to build the right data foundation for future AI capabilities. 

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New sovanta AppHaus Newtown Square: Rolling Up Our Sleeves for Customers

On September 15, 2026, the new sovanta AppHaus Newtown Square opened its doors for American customers.

The grand opening event was scheduled along the local SAP Connect Day events for AI & Data Leaders, so guests from the regional business and technology community were welcomed at the new creative space. Near SAP’s Newtown Square campus, the factory-style sovanta AppHaus now invites SAP customers to hands-on co-innovation work. Experts from sovanta help teams explore and design use cases based on the latest AI-infused technologies provided by the Autonomous Enterprise. As the company puts it, “Others talk about agents. We build them.”

Speakers with three different perspectives

The grand opening event started with a welcoming note given by Claus Heinrich, founder and CEO of sovanta; Christian Heinrich, president of sovanta America; and David Robinson, president, SAP North America and Americas Customer Success Functions. They shared their SAP and partner perspectives and fully agreed that the most important insights came from their joint customers. So, they offered the stage to two long-standing sovanta customers, Elanco Animal Health and Endress+Hauser. Both shared first-hand experiences of their innovation work and journey—and what AI-powered business transformation looks like in their concrete business contexts.

The Autonomous Enterprise: the start of a bold new way of doing business

“What we value most about sovanta is how they collaborate with us: honest, well-organized, and always a step ahead in a rapidly evolving landscape,” Sunil Guna, senior director, ERP lead at Elanco Animal Health, said. “Over the past year, they have become a true trusted advisor, and the sovanta AppHaus Newtown Square gives us the place to keep turning ideas into real impact with SAP.”

“The Autonomous Enterprise is not built in a boardroom—it is co-created, use case by use case, in spaces exactly like this one. Having sovanta bring that capability directly to North American customers, right here in Newtown Square, is a genuine milestone for SAP and for the customers we build the future with together,” SAP’s Robinson said.

Looking back – and ahead

Claus Henrich, who is a former board member of SAP AG, looked back on the years of building and growing sovanta as a company: “Since founding sovanta in Germany in 2009, our approach has been to work closely with our customers on real business challenges and turn them into meaningful innovation. That approach has paid off, and bringing it to the U.S. with our sovanta AppHaus Newtown Square is an important next step. I’m proud of what we’ve built and grateful for the trust of SAP and our customers.”

From left to right: Rakesh Gandhi (Head of Customer Engagement Services Americas, SAP), David Robinson, Claus Heinrich, Christian Heinrich, Sven Arndt. Photo credit: Philly Photo & Film.
From left to right: David Robinson, Claus Heinrich, Christian Heinrich. Photo credit: Philly Photo & Film.

Global innovation support, going broader and deeper

The new location is designed in a creative factory style, reminiscent of the hands-on innovation work that the sovanta team performs with all its customers. Like all other SAP AppHaus Network members, its co-innovation work follows the human-centered approach to innovation.

Thomas Biedermann, global head of SAP AppHaus Network, commended the partner team for opening this new location not far from Philadelphia: ”My heartfelt congratulations to the sovanta team for being the second partner of our global network community to open a second AppHaus location in the U.S. It shows that the innovation approach we share is not only broadly adopted across the globe but also intensified by our partners, going broader and deeper, so to say. We wish you and your customers lots of success!”

About SAP AppHaus Network

The SAP AppHaus Network is a global community of like-minded teams, both from SAP and selected partners. The joint mission: bring human-centered innovation to life for SAP customers. Together, they believe that sustainable innovation is based on five key enablers: people, process, place, leadership, and technology.

All members are empowered early on with the latest methods, tools, and knowledge, allowing them to act as agile frontrunners and co-innovation experts. They support customers around the world regardless of their digital maturity, guiding them to explore new use cases and unlock tangible business value with the help of the latest technologies offered by the Autonomous Enterprise. Concrete guidance can be found in the specialized innovation toolkit for AI.  

As one of the first, sovanta joined the SAP AppHaus Network in November 2019.

Working closer with the American SAP ecosystem

Christian Heinrich explained the advantage as follows: “Establishing the sovanta AppHaus Newtown Square strengthens our presence at the heart of the U.S.-American SAP ecosystem and creates new opportunities to collaborate even more closely with SAP and our customers in the U.S. As part of the SAP AppHaus Network, we can combine proven human-centered innovation approaches with sovanta’s AI and SAP expertise to move from ideas to tangible business outcomes faster. Our SAP AppHaus location is our sovanta Innovation Factory brought to life, where we turn innovation from one-off projects into a scalable, repeatable approach.”

Rolling up our sleeves

“This isn’t just a new location,” Sven Arndt, chief technology officer, sovanta America, said. “It’s a place built around our customers and their challenges. We want to sit down together, understand where AI can create real value, and turn the most promising use cases into solutions that work in practice. I’m excited to welcome our first customers to Newtown Square, roll up our sleeves, and build what’s next together.”

For more information, the new sovanta AppHaus Newtown Square can be found at 3407 West Chester Pike, Newtown Square, PA 19073, United States of America.


Imke Vierjahn is communications lead for SAP AppHaus Network.

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Five Years of Procurement Change: From Digital Ambition to Measurable Value

This year marks the fifth consecutive edition of Economist Enterprise’s Procurement Imperative research, sponsored by SAP. The latest study, Procurement at a Crossroads: From Optimism to Realism, surveyed 2,648 C-suite executives across 23 countries and examines how procurement leaders are responding to pressures ranging from cost control and geopolitical volatility to the rapid advance of artificial intelligence.

The anniversary offers an opportunity to look beyond any single year and consider how procurement has changed since the first year of this survey in 2022. What stands out is that the function has not followed a simple path from tactical to strategic. Its mandate has broadened, but so has the expectation to prove its value: control cost, anticipate risk, strengthen supply continuity, and turn technology investment into measurable outcomes.

Read the Economist Enterprise study: “Procurement at a Crossroads: From Optimism to Realism”

Five takeaways from the research help show where procurement has been and where it may be heading next.

Takeaway 1: cost never left the job description—but it’s now more important than ever

In 2022, procurement leaders were still operating in the shadow of the pandemic. Supply chain risk ranked as the leading organizational risk, while COVID-19 disruption was the top driver of digital transformation.

As conditions changed, procurement’s agenda expanded to resilience, visibility, supplier diversification, and digitalization. But cost never disappeared. In 2022, cost savings led the areas where respondents believed procurement could deliver greater value. In the 2026 study, 54% of executives identify cost savings and optimization as procurement’s primary contribution to the organization. The line of questioning is not directly comparable year over year, but the broader pattern reveals that a more strategic mandate has not lessened the importance of financial discipline.

That is not a retreat. Modern cost management requires understanding demand, supplier economics, working capital, risk, and the operational consequences of commercial decisions. Procurement’s cost mandate has become more sophisticated, not less important.

Takeaway 2: digital transformation has moved from funding to execution

One of the clearest changes is what now stands in the way of transformation.

In 2022, budget was the leading barrier to digital transformation at 30.2%. By 2026, it dropped to fourth on the list, as ease of deployment became the primary concern of 71.7% of executives, a category that did not exist as a response option in 2022. Budget still matters, but it is no longer the defining obstacle.

Procurement spent years making the case for technology investment. The conversation has moved past “Can we afford it?” to “Can we actually implement it?” Procurement leaders are now challenged to embed technology across real processes, data environments, and organizations.

The motivation for transformation has also shifted. In 2022, pandemic disruption was driving both preparation and investment. Today’s expectation of flat-to-cautious growth is more structurally normal, but the pressure to do more with less remains a constant. The question for today’s procurement teams is whether they can deploy new technology effectively enough to generate repeatable business value.

Takeaway 3: AI has raised both the opportunity and the standard

The latest findings make the scale of the AI shift unmistakable. Sixty percent of executives name digital transformation as procurement’s top strategic priority for the next 12 to 18 months, up from 38% in 2025, with agentic AI emerging as the most sought-after near-term technology.

But enthusiasm is now accompanied by greater scrutiny. As AI enters category management, intake, sourcing, and other workflows, procurement leaders need to be clear about the business outcome being improved, the data required, and the controls governing how AI acts.

The five-year view shows how quickly expectations have advanced. In 2022, digital technology broadly led the category-management improvement agenda at 35.8%. By 2023 and 2024, priorities had grown more specific, centering on cost analysis, scenario planning, and data quality. By 2026, AI-driven and predictive insight is the dominant category-management priority, cited by 66.6% of respondents.

Technology is shifting from helping procurement professionals find information toward helping them interpret choices and execute defined tasks. As that happens, the value case must move with it—from access to information toward measurable improvements in decisions and outcomes.

Takeaway 4: strategic influence is becoming more operational

For years, procurement leaders have talked about earning a “seat at the table.” But the research suggests that where procurement sits on the organizational chart may be becoming a less useful measure of its strategic influence.

In 2022, the COO was already the largest procurement reporting line at 33.5%, with the CFO close behind at 29.3%. By 2026, the COO share has risen to 44%, while the CFO share stands at 24.4%, and reporting lines to the CEO have declined from 18.8% to 15.7%.

This suggests that procurement’s strategic relevance is increasingly expressed through operational execution. Influence comes from improving decisions across cost, supply, risk, and technology—not from where procurement appears on an organizational chart.

The results across recent years reinforce that shift. In 2023, 53% of executives agreed that procurement effectively collaborated with the rest of the organization to meet the company’s vision. That rose to 75% in 2024 and 90% in 2025, pointing to growing integration between procurement and the wider business.

That growing integration does not necessarily mean procurement has secured a permanent strategic role. In 2024, 70% of executives said procurement was actively involved in developing the wider organization’s digital transformation strategy, although only 18% strongly agreed. By 2026, executive confidence in procurement’s influence over digital transformation had fallen to 68%, down from 91% in 2025.

The contrast is telling: procurement is becoming more integrated with the business, but greater visibility does not automatically translate into sustained strategic influence. A seat at the table matters less than what procurement delivers once it is there.

Takeaway 5: the skills equation has changed

Technology is not the only thing procurement teams have had to reinvent. The capabilities required to use it effectively have changed just as quickly.

In 2022, skills gaps were relatively dispersed across technology (34.6%), category knowledge (32.0%), risk management (26.8%), and customer experience (25.6%). By 2025, AI proficiency and ethics had emerged as the leading skills priority at 68.2%, far ahead of more traditional procurement competencies at 34.1%.

But there is another part of the skills picture that deserves attention. In that same 2025 research, curiosity was prioritized by just 10% of respondents. That stands in contrast to what I continue to hear from procurement leaders, who increasingly describe curiosity as one of the skills that will separate the teams that thrive in the AI era from those that merely use the technology.

Traditional procurement expertise is not obsolete. If anything, more capable technology increases the value of professionals who understand categories, suppliers, markets, and organizational change. AI fluency on its own is not enough. As technology takes on more work, professionals need the curiosity to question outputs, challenge assumptions, explore what is changing in a market, and bring business context to the decisions technology helps inform.

The opportunity lies in combining deep commercial knowledge with greater AI fluency. The procurement professional of the next five years will need to know not only how to use new tools, but when to challenge their outputs, how to apply business context, and where human judgment still matters most.

The next chapter is about proof

Five years ago, procurement transformation was heavily shaped by external shocks. Today, organizations are making more deliberate choices about AI, analytics, talent, and operating models while being asked to deliver savings, manage volatility, and improve productivity simultaneously.

The next chapter is about forging a clear connection between strategic and cost value, and between human expertise and AI capability. Five years of research suggest procurement has earned a broader role. The next five will be about proving what it can do with it.


Gordon Donovan is global vice president of Research, Procurement, and External Workforce at SAP.

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From Disconnected to Autonomous: Daikin’s People-Centric ERP Transformation

Daikin’s story is about more than just an overdue technology upgrade. The company’s end goal was anchored around the employees and end customers: How can we make day-to-day experiences smarter, faster, and more intuitive while still building for the future?

SAP Cloud ERP: Real-time insights, embedded AI, and scalable performance

To answer this question, EY and SAP moved to one cloud ERP that enabled a unified, intelligent enterprise while reducing complexity and empowering people.

Starting point at Daikin

At the forefront of the story was the goal of being the global leader in the HVAC industry. As a result, Daikin pioneered groundbreaking technologies that revolutionized commercial AC. With a longstanding history of over 100 years of engineering, the company has grown to operate globally in more than 170 countries with over 100,000 employees. However, its journey to global recognition was peppered with growing pains.

Disconnected systems led to complexity

Years of rapid growth alongside acquisitions left the company with a legacy ERP that was fragmented, inconsistent, and lacked the standardization required to operate efficiently. Multiple disconnected systems and workflows meant that employees were dealing with a myriad of processes, all differing depending on which business unit they were working with. This increase in manual work and confusion around processes added avoidable complexity to day-to-day tasks, as employees spent more time than necessary solving for problems.

Together, EY and SAP teams worked toward an end goal by posing the question: how do we simplify operations, empower employees, and drive customer experience? Daikin’s industry is unique, with highly distributed networks and complex supply chains. Companies operating in this environment must continuously adapt to industry standards and regulations, all while delivering the reliable product experience they’re known for. Daikin turned to EY and SAP because the company needed a partnership that understood the nuances of the industry within which it operates.

Daikin’s focus from the beginning was on the people who would be impacted most by this transformation and ensuring that their everyday experience evolved into one that is simpler, consistent, and productive. With AI at the core, Daikin can look to the future and see one unified system where AI moves beyond isolated cases and becomes embedded end-to-end.

To achieve this vision, Daikin established SAP Cloud ERP as its digital core and single source of truth. Going live in just 10 months, the pilot modernized finance, logistics, procurement, and sales workflows for more than 300 frontline users, demonstrating early results of 10% improved counter efficiency and a 20% faster financial close.

EY’s industry expertise paired with SAP technology helped ensure that the people who use the technology every day no longer log-in to multiple systems and customers get the right product at the right time and price.

Employees gained single-screen experiences, faster access to information, reduced manual effort, simplified training and onboarding, and more confidence in decision-making. Dealers gained better visibility, faster onboarding experiences, and more consistent service interactions.

Journey to an Autonomous Enterprise

Now, Daikin doesn’t have to worry about which inefficiencies it will have to confront for an approaching launch.

The early results demonstrate what’s possible when AI-driven insights are paired with human-centered delivery: improved efficiency, faster financial close, better data governance, enhanced forecasting and operational decision making, and accelerated delivery using AI-assisted implementation capabilities.

This not only empowers end users but creates a scalable foundation that can grow alongside Daikin. With over 400 branches worldwide, EY and SAP created a blueprint for Daikin’s global transformation with future automation and intelligent decision-making in mind.

New SAP Ariba Spend Analysis and Insights Solution Now Available

Procurement is operating in a fundamentally different environment than it was even a few years ago. The function is still expected to deliver savings, manage suppliers, and support compliance. But those responsibilities now sit alongside a much broader mandate: helping the business navigate volatility, strengthen resilience, and make better decisions in shifting markets.

Even as procurement’s responsibilities have expanded, its ability to deliver on them is being scrutinized more closely than ever. The 2026 Economist Enterprise report, Procurement at a Crossroads: From Optimism to Realism, sponsored by SAP, found that confidence in procurement’s ability to collaborate effectively with the rest of the business fell from 90% in 2025 to 74% in 2026. That’s a significant drop in a single year, and it points to a gap between what procurement is being asked to do and what it’s currently equipped to deliver.

The same report also shows where organizations are focusing their investment. Category and demand management is expected to receive the second-highest level of digital investment among procurement disciplines over the next three years, behind only spend and performance analytics. That finding reflects a practical reality that trusted, timely, and complete spend data has emerged as a foundational requirement for procurement teams expected to deliver measurable value.

Turn spend insights into a strategic competitive advantage

Today, SAP is announcing the availability of SAP Ariba Spend Analysis and Insights, a new solution designed to help procurement leaders turn spend data into intelligent operations.

A unified foundation for spend data

SAP Ariba Spend Analysis and Insights helps give CPOs and their teams complete visibility into where and how the organization is spending. It can bring together spend data from across the business into a unified layer, drawing from SAP Ariba, SAP Fieldglass, SAP Concur, and SAP Cloud ERP, as well as non-SAP systems and external data providers such as market intelligence and economic indicators.

Rather than requiring teams to manually extract and prepare data from each source, the solution can handle that integration continuously, so users can focus on the insights themselves. Because it was built on SAP Business AI Platform, all data retains its original business context and relationships across applications, helping to create a trusted foundation for intelligent decisions and AI-driven operations. Spend data is classified to the United Nations Standard Products and Services Code (UNSPSC) standard and a customer’s own taxonomy, and enriched with corporate hierarchy information from Dun & Bradstreet on a weekly, soon to be daily, basis.

For many organizations, this represents a meaningful shift. Spend data is often spread across multiple systems, structured inconsistently, and difficult to reconcile—and by the time insights are ready, the conditions they describe may already have changed. SAP Ariba Spend Analysis and Insights changes where the work begins, so procurement teams can work from data that is already unified and actionable.

That foundation also matters increasingly for AI. According to the same Economist Enterprise report, 60% of executives identified digital transformation as procurement’s top strategic priority over the next 12 to 18 months, with more than half citing AI as the primary driver. One of the greatest barriers to harnessing AI is the lack of high-quality data. Clean, enriched, and classified spend data feeds into SAP Business AI, enhancing its ability to deliver better results over time through Joule Agents and other intelligent tools.

What’s included at launch

Several capabilities are available from day one, including:

  • Automated data ingestion from SAP-managed source systems—SAP Cloud ERP, SAP Ariba, SAP Fieldglass, and SAP Concur—with data accessible within minutes. Customer-managed source systems, whether SAP on-premise, non-SAP, or third-party data sets, are supported through flexible integration channels.
  • Unified, classified, and enriched spend mapped to UNSPSC v25 or your organization’s custom taxonomy at 95% accuracy. AI and machine learning models are trained to learn your business, support multiple languages, and are continuously refined with human intelligence built over more than 20 years, with SAP among the founding organizations in scaling enterprise-wide spend analysis. SAP Ariba procurement benchmarking helps customers compare performance against industry peers and identify where improvement opportunities exist.
  • Powerful analytics that help answer not just “Where did we spend?” but “Where should we have spent?” and “Where should we spend now and in the future?”—spanning cost savings, risk exposure, compliance, ESG, and productivity.
  • Joule can connect users to curated AI-generated recommendations and agents ready to execute within next-gen SAP Ariba solutions, helping teams move beyond reporting toward guided action while staying connected to the systems and workflows where decisions are made.
  • Native connectivity with SAP source-to-pay solutions can make it straightforward to convert analysis into category initiatives with SAP Ariba Category Management and drive action across other procurement workflows without the manual handoffs that typically slow execution.

An operating model discussion

Procurement’s mandate has expanded. Its data foundation needs to expand with it.

SAP Ariba Spend Analysis and Insights is designed to help procurement teams act with greater speed, advise the business with more confidence, and demonstrate value in terms that senior leaders can measure. This is not only an analytics discussion—it is an operating model discussion.

To learn more, join our webinar, “Rethinking Spend: The New Role of Spend Data in AI-driven Procurement,” on September 24, featuring Rick Gardner of The Hackett Group. The session will explore how trusted spend data and AI can help procurement teams make better decisions and drive greater business value. Register today to reserve your spot.

Organizations that invest in a clean, connected data foundation today will be best positioned to capture the full value of AI tomorrow. With SAP Ariba Spend Analysis and Insights, procurement can move beyond fragmented reporting and toward intelligent operations, using spend data not just to understand what happened, but to guide what happens next.


Callum Veness is senior director of Product Marketing for SAP Procurement & External Workforce.

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TabPFN-3.5 Plus Now Available in SAP AI Core for Instant Business Predictions

WALLDORF — SAP SE (NYSE: SAP) today announced availability of the new TabPFN-3.5 model from Prior Labs, an SAP company.

Capture business-wide AI value with speed and confidence

This model marks the next leap in tabular AI, giving organizations access to unmatched tabular AI predictions on structured business data without model training or tuning. For SAP customers, TabPFN-3.5 Plus is now available in SAP AI Core.

Critical enterprise business decisions, such as cash flow forecasting, payment delays or supplier risk scoring, run on structured, tabular data. While LLMs excel at language and knowledge, tabular foundation models (TFMs) are purpose-built for structured data and can accurately predict business outcomes based on tabular data such as payment delays, supplier risks, upsell opportunities, customer churn risk and more. 

With TabPFN-3.5, SAP customers can work with data as it exists in their systems. Missing values, mixed data types and inconsistent fields are handled by the model, returning accurate predictions without preprocessing. This newest model from Prior Labs’ family of tabular AI models uses in-context learning to make predictions from raw tabular data, handling columns with thousands of distinct values, such as product codes or customer identifiers, and mixed data types natively, without the trial-and-error configuration that traditional models require. TabPFN-3.5 Plus is the most accurate and scalable tabular foundation model available today, based on TabArena and BeyondArena, two external benchmarks designed to evaluate predictions over real-world data. 

“Real-world data is rarely perfect. Datasets often contain complex relationships and varying conditions that make traditional machine learning difficult. TabPFN-3.5 is specifically built for these challenges, providing industry-leading accuracy and scalability for tabular data with less manual effort—making it the most effective tabular AI model in the industry to date,” said Philipp Herzig, Chief Technology Officer, SAP SE. “With TabPFN-3.5 and the SAP-RPT model family, customers get accurate predictions from labeled business data in minutes, with no training required. For us, tabular AI is not a supporting feature of the Autonomous Enterprise, it is the foundation.” 

For more detailed information and to learn how to get started on SAP AI Core, see the SAP Community blog, and view the TabPFN-3.5 Technical Report.

SAP completed its acquisition of Prior Labs in July 2026, bringing one of the world’s leading TFM research teams into the SAP family. Prior Labs will continue to operate as an independent entity, with SAP having previously committed to invest more than €1 billion to scale it into a globally leading frontier AI lab for the structured data that underpins the world’s businesses.

Visit the SAP News Center. Get SAP news via LinkedIn and Bluesky.

Media Contact:
Alex Vaught, +1 (206) 678-5712, alex.vaught@sap.com, PST 
SAP Press Room; press@sap.com

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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. 
© 2026 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.

SAP BDC Helps Team Liquid Optimize Player Performance

WALLDORF — SAP SE (NYSE: SAP) today announced that Team Liquid is using SAP Business Data Cloud to connect gameplay, wellness, biometric and operational data as it prepares for World of Warcraft’s Race to World First, which started August 18, 2026.

Playing the Long Game: Why Team Liquid’s Race to World First Runs on SAP Business Data Cloud

For Team Liquid, Race to World First is a test of endurance as much as execution. The competition can require teams to compete continuously for weeks against some of the world’s most complex raid encounters, where fatigue, stress, recovery and coordination can influence performance while coaches still need to make decisions in real time.

That challenge has traditionally been difficult to solve because critical information often sits in separate systems. Gameplay metrics, combat logs, wearable-device signals, player wellness information and operational data can each provide insight. However, when analyzed in isolation, they leave coaches with an incomplete view of how player condition and in-game execution affect one another.

The SAP Business Data Cloud solution helps Team Liquid bring those signals into a unified, AI-enriched analytics environment. Coaches, analysts and performance experts can view physical readiness, stress indicators, recovery metrics, scheduling context and in-game performance together, helping them identify patterns that are hard to detect across disconnected tools and spreadsheets.

The Joule solution extends the connected data foundation with AI-powered recommendations. By analyzing trends across gameplay, wellness and biometric information, Joule can help coaches surface early warning signs and compare tactics against historical performance patterns. With Joule, coaches can also evaluate whether recovery breaks, role adjustments or strategy changes may help the team sustain precision during progression attempts.

“As we prepare for Race to World First, having player performance, health and game data in one place changes how we approach coaching and strategy,” said Dr. Jesse Hart, Senior Director of Sports Science and Analytics, Team Liquid. “SAP Business Data Cloud allows us to make decisions backed by data rather than intuition during one of the most demanding competitive periods of the year.”

SAP and Team Liquid have collaborated since 2018 on esports performance, analytics and AI innovation, including solutions designed to support competitive preparation and real-time decision-making. SAP Business Data Cloud marks the next evolution of that work by showing how connected data and AI can help teams turn fragmented information into action under pressure. The same challenge exists beyond esports: organizations across industries need trusted data, intelligent insights and human expertise working together so people can perform at their best when it matters most.

Visit the SAP News Center. Get SAP news via LinkedIn and Bluesky.

Media Contact:
Martin Gwisdalla, +49 6227 7-67275, martin.gwisdalla@sap.com, CET
SAP Press Room; press@sap.com

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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.
© 2026 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.

Playing the Long Game: Why Team Liquid’s Race to World First Runs on SAP Business Data Cloud

In esports, success is often measured in milliseconds. A single decision can decide a match. Yet some competitions test far more than reaction speed and strategic execution. World of Warcraft’s Race to World First is one of those events.

SAP BDC Helps Team Liquid Optimize Player Performance

Unlike traditional esports tournaments that play out over a few hours, Race to World First pushes teams through days and sometimes weeks of continuous competition. Players face extreme cognitive load, limited recovery time, and the constant pressure to execute flawlessly against the most complex encounters ever designed in gaming. At that level, performance is no longer just about mechanics. It’s about endurance. And endurance creates a data challenge.

Performance analytics beyond the game

Over the last several years, Team Liquid has become one of the most innovative organizations in esports.

Together, we have built data platforms, advanced analytics capabilities, and AI-powered solutions such as Joule Agents that help players, analysts, and coaches access insights faster than ever before. As we discussed our next innovation journey with the team, one question emerged quickly: What if coaches could see not only how players are performing in the game, but also how they are performing as human beings?

Historically, game statistics, biometric measurements, and wellness data were often analyzed independently, limiting the ability to understand how they influence one another. Therefore, the next evolution of esports analytics is not collecting more data. It is connecting data.

For Race to World First, we helped Team Liquid bring gameplay analytics, player wellness information, and biometric signals from wearable devices together in SAP Business Data Cloud—and relationships that were previously difficult to identify became visible.

This sounds simple, but it fundamentally changes how coaching decisions are made.

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