How a Small AI Use Case Is Automating Document Processing in the Supply Chain of Lemvigh-Müller

Lemvigh-Müller, a 180-year-old Danish wholesaler of industrial building material, technical, and steel products, has built an AI use case that reads incoming business documents—automatically and within seconds.

For Lemvigh-Müller, an efficient supply chain isn’t a nice-to-have—it’s the business model. “Our company is low margin, and we are living from a very efficient supply chain,” says Frederik Aakerlund, CIO of Lemvigh-Müller. “We need to cut costs wherever we can, and we need to make sure our customers get our products as quickly as possible.”

Not every business partner connects via EDI (Electronic Data Interchange), the standard for exchanging business documents directly between IT systems. For Lemvigh-Müller, that means a steady stream of orders, delivery notes, and invoices arriving as PDFs and emails—documents that, until recently, had to be read and entered manually.

“Today we are receiving so many PDF files and emails that we don’t have the time to read them,” Aakerlund explains. “Basically, we don’t update our system, or we don’t find the deviations from what we expect, quickly enough.”

SAP Datasphere & BDC: Top New Features | July 2026

New month, new capabilities. Get a quick tour of the July 2026 feature highlights across SAP Business Data Cloud and SAP Datasphere.

In this update, Klaus-Peter Sauer covers what shipped in July, including one focused release packed with enhancements for replication flows, transformation flows, connectivity, monitoring, data governance, and command-line automation. You’ll also see new ways to replicate data from local table files, work with delta load types, connect private data sources, monitor large tables, and manage transport packages more efficiently in SAP Datasphere.

You will see what is new in:
✅ Replication Flow: Local Table Files as Source — Replicate data from local table files in SAP Datasphere directly to supported SAP and non-SAP targets without re-extracting from the original source.
✅ SAP BW and SAP ECC Delta Load Types — Use initial and delta, or delta-only, load types for SAP BW and SAP ECC sources in replication flows.
✅ Transformation Flows on File: Delta Capture Flag Handling — Insert records from delta-enabled source tables into non-delta targets, and use “delete all before loading” for initial-only loads.
✅ Cloud Connector Support for Object Stores and Azure SQL Database — Use Cloud Connector with object store connections, including Amazon S3, Azure Data Lake Gen2, Google Cloud Storage, Microsoft OneLake, and Microsoft Azure SQL Database.
✅ Replicate Data from REST APIs — Connect to external REST APIs as sources in replication flows and land data in your object store space. This capability is available as a restricted release on EU10 landscapes.
✅ SAP HANA Cloud Connections: DigiCert Certificate Update Required — Prepare for the SAP HANA Cloud migration to DigiCert TLS RSA 4096 Root G5 certificates by updating your SAP Datasphere Trust Store.
✅ Monitor Your Partition Details — View local table partitioning details directly in SAP Datasphere to support monitoring for large tables.
✅ Personal Data and Sensitive Personal Data Tagging — Automatically identify personal and sensitive personal data tags from SAP Business Data Cloud data products and see those tags inherited across downstream entities.
✅ Manage Packages via the Command Line — List, create, read, update, delete, and export transport packages using the SAP Datasphere command-line interface.

Learn more about SAP Business Data Cloud:
https://sap.to/6053BEColS
Learn more about SAP Datasphere:
https://sap.to/6054BECols
Join the SAP Datasphere community to stay up to date:
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Check out the product roadmap for SAP Datasphere:
https://sap.to/6056BEColQ

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About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6054BECol2

#SAPBusinessDataCloud #SAPDatasphere #BusinessData

Why Partners Are at the Center of SAP’s Strategy for 2026 | #SAPSapphire

At SAP Sapphire and the SAP Partner Summit, one thing was clear: with the launch of the SAP Business AI platform, the partner ecosystem has never mattered more.

Partners aren’t just reselling – they’re building the agents. Extending the platform. And delivering the agentic experiences that bring the Autonomous Enterprise to life for customers.

In this video, Karl Fahrbach, Chief Partner Officer, explains:
→ Why the SAP partner ecosystem is central to the AI era
→ How partners are building on the SAP Business AI platform
→ What partners need to be doing right now for their customers
→ Why this might be the most exciting time in SAP history

Learn what the Autonomous Enterprise means for SAP Partners: https://sap.to/6057B8UJoJ

#SAPSapphire #SAPPartners #AutonomousEnterprise

If AI Took Care of Your Procurement Tasks, What Would You Do With the Extra Time? | #SAPSapphire

We asked, they answered. And the answers were honest, human, and a little bit relatable.

From morning runs to better deal-making – this is what the future of work looks like when AI takes the admin off your plate.

Learn more about Autonomous Spend Management: https://sap.to/6059B8UKrB

#SAPSapphire #SpendManagement #Procurement

NVIDIA and SAP on Enterprise AI Agents | SAP Sapphire Orlando 2026

Enterprise AI agents are changing how work gets done across finance, supply chains, procurement, and every workflow in between.

In this SAP Sapphire Orlando 2026 video, Jensen Huang, CEO and Founder of NVIDIA, shares how SAP and NVIDIA are working together to help enterprises build, evaluate, deploy, and govern AI agents at scale. The message is clear: agents will not replace enterprise software. They will make enterprise software more powerful by helping systems understand, reason, and act within trusted business boundaries.

The video highlights how SAP is embedding NVIDIA OpenShell across its platform to help secure enterprise AI at scale. With OpenShell, agents can act safely inside a company, access only the data they are permitted to see, execute only approved workflows, and keep every action traceable.

Together, SAP and NVIDIA are helping bring the Autonomous Enterprise to life, where AI understands the business, follows the rules, uses the right tools, and moves work forward.

Watch the full Global Keynote: https://youtu.be/9aa-etRsaLU?si=j0rDQJCtoxUai0fX
Watch all SAP Sapphire replays on demand: https://www.sap.com/events/sapphire.html

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

#SAP #BusinessAI #SAPSapphire

TSG Hoffenheim and SAP Expand Co‑Innovation to Advance AI in Professional Football

TSG Hoffenheim and SAP are deepening their longstanding collaboration to jointly explore and validate the next generation of intelligence‑driven football operations.

As one of the German Bundesliga’s most forward‑thinking organizations, TSG Hoffenheim is working closely with SAP in a co‑innovation setup to pioneer and test new AI capabilities within SAP Sports One. The focus is on assessing how AI can support football‑specific processes such as scouting and video analysis. 

How Swiss Robotics Company ANYbotics and SAP Are Turning Dirty, Dusty, and Dangerous Industrial Inspections into Business Insights

In some of the world’s most dangerous industrial environments, including oil refineries, offshore wind platforms, cement plants, and chemical facilities, human access is often limited, risky, or prohibitively expensive. 

ANYbotics, a Swiss robotics company, has stepped into this space with a vision to shape a safer future for industrial inspection, one where robots operate as autonomous members of the inspection team, running inspection operations integrated into plant maintenance workflows. 

This vision is embodied in the company’s “ANYmal”: a four-legged inspection robot designed specifically for heavy industry.

Unlike general-purpose robotics platforms, ANYmal is engineered to operate in “big, dirty, dusty, and dangerous” environments, says Nicole Zingg, director of Technology Partnerships at ANYbotics. Places where stairs, corrosion, heat, and unreliable connectivity are the norm, not the exception.

But hardware, Zingg says, is only one part of the puzzle that makes ANYmal indispensable to customers.

Inspection robotics is about data

“We build a hardware platform,” Zingg explains, “but inspection robotics is really about data that is consistent and trustworthy.”

ANYmal autonomously navigates industrial sites to collect data that goes beyond what a human can collect alone. Beyond just visual inspection, its sensors also collect multi-modal data, including thermal imaging, ultrasonic leak detection, gas concentration detection, acoustic anomaly detection, and more. The observations are fed into what ANYbotics calls “inspection intelligence,” which transforms the collected data into actionable operational insights. The result is higher uptime, longer asset lifecycles, and, most importantly, safer working conditions for humans.

ANYmal can make a huge impact on operations. One offshore wind customer, Zingg says, has used ANYmal to manage all inspections and has eliminated the need to send personnel to a remote platform for months. When human intervention was eventually required, ANYmal’s data from prior inspections made all the difference. The customer already knew exactly what was wrong, which expert to send, and what equipment to bring—avoiding costly and risky trial-and-error site visits.

See SAP and robotics in action at HANNOVER MESSE 2026

Yet for ANYbotics, delivering insights is not enough if those insights are not integrated in the software systems customers use.

“SAP is where ANYbotics needs to be native”

Through extensive user research, ANYbotics discovered that many plant operators, maintenance managers, and field service teams already run their daily operations in SAP. Work orders, asset histories, performance trends, and decisions all flow through SAP systems. “If customers are using SAP, SAP is where ANYbotics needs to be native,” Zingg says.

Meanwhile, SAP’s Project Embodied AI was looking for robotics companies to partner with. The project focuses on extending the impact of SAP Business AI into physical operations by enabling robots to autonomously perform complex tasks with an understanding of the broader business context.

It was clearly a perfect fit and has delivered advantages for both companies.

On the system side, a continuous, unbroken digital thread connects ANYbotics insights from industrial inspections to data in SAP systems, helping inform key business and operational decisions across the organization.

For end users, embedding ANYmal directly into familiar SAP workflows can also help ease adoption, since introducing robotics into already stretched industrial workforces can trigger anxiety. Concerns about job security, workflow disruption, and complexity are common, but embedding ANYmal directly into familiar SAP workflows can help reduce that friction, Zingg explains.

Treating robots as part of the workforce

The first major integration point was SAP Field Service Management. Rather than sending only human technicians, customers can now dispatch work orders directly to ANYmal as they would to any other field team member. The robot then autonomously executes inspection tasks, gathers data, and reports the results directly back into a company’s SAP system.

From there, the integration expanded into asset-related scenarios and is now moving toward broader enablement via SAP Business Technology Platform (SAP BTP), with the goal of allowing robot-generated data to land wherever customers need it in their SAP landscape.

The ambition is not to force humans to adapt to robots, but for robots to adapt to human workflows. “ANYmal has to put data in the SAP system, just like human team members,” Zingg notes. ANYmal becomes another worker in the same operational system of record.

Project Embodied AI in practice

This combination of ANYbotics robotic technology with SAP bridges the gap between physical operations and enterprise applications and tangibly reflects the goal of Project Embodied AI.

On the SAP side, AI agents operate on ANYmal’s robotic systems to execute physical tasks, such as safety inspections.

On the ANYbotics side, ANYmal is a physical object that moves through space, perceives its environment, and acts within real-world constraints. ANYmal uses SAP historic and time-series data to inform decisions while at the same time remaining fully autonomous even in environments with no connectivity.

It’s important to note, Zingg stresses, that ANYbotics has control over ANYmal’s behavior and inspection execution, while SAP has control over the business context such as work orders, asset data, or operational priorities. It is the SAP business context that informs how ANYmal’s insights are consumed and acted upon while ANYbotics controls ANYmal’s physical interactions.

Scaling safely and responsibly

Today, more than 200 ANYmal robots are already in productive use worldwide, with inspection deployments in heavy-industry environments that would otherwise require constant human exposure.

Safety remains central to ANYbotics. Each deployment includes extensive testing and an on-site field engineer who helps ANYmal learn and validate its environment and trains customer teams on safe operational procedures. While ANYmal is built to work independently, humans remain firmly in the loop.

A glimpse into the future

As industries face labor shortages and aging workforces, undocumented expertise can all too often be lost. With autonomous inspection robots such as ANYmal, this knowledge is captured and turned into programs that can run day in and day out across multiple sites. The captured data flows into SAP to become organizational intelligence that survives any workforce turnover.  

ANYbotics’ partnership with SAP shows that this combination of robotics and enterprise software is moving swiftly from the experimental stage to real-world implementation.

In the future, industrial inspection will be powered by AI, not as disembodied dashboards or isolated machines, but as an integrated intelligent system where physical robots and digital workflows in SAP systems operate as one.

In that future, robots like ANYmal are no longer novelties. They are coworkers, albeit mechanical four-legged ones, quietly extending human capability into places humans were never meant to go. These robots, together with SAP, are shaping for a future where dirty, dangerous, and dusty industrial inspections are being transformed into business insights.


Top image courtesy of ANYbotics

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SAP Design: Design for Everyone | Accessibility & Inclusive Design

Designing for everyone is at the heart of SAP’s approach to accessibility and inclusive design. This video shows how SAP builds products that work across abilities, cultures, and contexts – supporting our broader commitment to human rights and improving people’s lives.

You’ll see how accessibility is embedded from the start of our design process and how SAP shares tools, research, and resources to help teams create more inclusive user experiences.

Chapters:
00:00 – Why SAP Designs for Everyone
00:17 – Accessibility as a Core Principle
00:41 – Commitment to Human Rights
01:05 – Tools, Resources & Research
01:22 – Inclusive Design as a Foundation
01:30 – Why Inclusion Benefits Everyone

Explore the tools and resources SAP teams use every day to help build a more inclusive world: https://sap.to/6059hPRKP

#SAP #Accessibility #InclusiveDesign

Why design data breaks your supply chain (and how to fix it) 🔗📊

That problem often starts with disconnected design data. Andreas Madlencnik explains why every product begins with data, and how missing connections lead to inefficiencies, rework, and delays across the supply chain.

Find out how SAP’s solutions for PLM helps fix it. 👉 https://sap.to/6052hDzLQ

SAP and Syngenta Announce Partnership to Scale AI-Assisted Agriculture

WALLDORF SAP SE (NYSE: SAP) and Syngenta, a global leader in agricultural innovation, today announced a multiyear strategic technology partnership to accelerate AI-assisted innovation across Syngenta’s global operations.

Create transparent, resilient, sustainable food supply chains with SAP

The partnership will embed artificial intelligence at the core of Syngenta’s enterprise, modernizing operations and enabling accelerated innovation through advanced data analytics across the business — from manufacturing and supply chain to grower-facing products and services.

The agricultural industry continues to navigate challenges driven by climate variability, supply chain complexity and global uncertainty. By deploying AI-assisted tools enterprise wide, this partnership positions Syngenta to meet the challenge of feeding a projected 10 billion people by 2050 while unlocking faster innovation, stronger operational resilience and scalable impact across the business.

“AI is the catalyst for agricultural transformation and has quickly become a core competitive edge for Syngenta,” said Feroz Sheikh, chief information and digital officer at Syngenta Group. “Our partnership with SAP is transforming how we run the enterprise, modernizing core operations and unlocking new ways to work — a testament to our commitment to becoming an agriculture company with AI at its core.”

“Syngenta’s transformation sets a benchmark for digital innovation in agriculture,” said Philipp Herzig, chief technology officer at SAP SE. “Together, we’re demonstrating how cloud and AI technologies can drive sustainable growth and efficiency in one of the world’s most critical industries. This partnership will help Syngenta future-proof its operations to feed the world responsibly.”

Scaling an AI-First Operating Model for Agriculture

Syngenta’s transformation will begin with SAP Cloud ERP Private solutions, modernizing core operations across the value chain to deliver agility, resilience and scalability. The company’s ambition is clear: unlock innovation faster, strengthen its leadership in agriculture and future-proof operations against volatility.

Through the SAP Business Data Cloud solution, Syngenta will create a unified, more secure and scalable data foundation essential for real-time decision-making and AI integration. Combined with SAP Business AI and AI-assisted tools such as the Joule copilot, this will help the company explore smarter, faster decisions that drive operational efficiency and accelerate innovation. Additionally, Syngenta will be able to deliver better products and services to growers worldwide while enabling them to retain control and privacy over their proprietary information.

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

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Media contacts:
Lesa Plingen, +49 622 776 9000, lesa.plingen@sap.com, CET
SAP Press Room; press@sap.com
Syngenta Media Relations, media@syngentagroup.com

Top image courtesy of Syngenta

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 2024 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.

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