AI & Machine Learning

"Optimize my warehouse and cut my costs" – ask an AI and you'll get generic advice. It sounds helpful, but the AI doesn't know your warehouse. That's where this workshop comes in: in a live demo, Logatik uses Celonis to make the real process visible – and to reveal where time and cost are actually lost (usually not where you'd expect). This is how you move from reactive firefighting to proactive control, with measurable impact on productivity and delivery performance. Best of all: fast to implement, using existing data, with no new system.

Learn how Physical AI is redefining warehouse automation. The combination of powerful AI software with robots delivers maximum throughput, lower error rates, and a high degree of autonomy—even with fluctuating volumes. At the same time, the system continuously optimizes its processes during operation.Patrick Schönemann, VP of Sales at Nomagic, demonstrates how AI-supported picking, packing, and sorting work in practice and deliver measurable results. You will learn which KPIs are achievable in picking and returns—especially in the fashion, e-commerce, and pharmaceutical sectors—and how AI-driven robotics solutions can be seamlessly integrated into both existing and new warehouses.

What will happen in the next 15 years with AI developing exponentially, robots taking over more and more tasks and GenAI even able to replace white collar workers? In an interactive session, we will jointly explore possible scenarios for SC2040 in multiple angles e.g. geopolitics, AI and robotics. 

The supply chain of tomorrow needs people who can do more than just press buttons. AI makes suggestions, robots take action—people must design, evaluate, and take responsibility. The problem: true judgment comes from real-world experience, which the younger generation no longer gains in the same way as previous generations. This poses a dilemma for training, recruiting, continuing education, and process design.
What it’s all about:
•    Which core competencies really matter?
•    How must training and continuing education be reimagined?
•    How can companies create processes so that people don’t trust blindly—but also don’t reflexively question everything?
Goal: Calibrated Trust—leadership that instills the right level of trust in AI so that decisions remain accountable.

Prof. Dr. Julia Arlinghaus from the University of St. Gallen and Dr. Inga-Lena Darkow, drawing on their industry experience, will present several proposals on this topic and engage in a discussion with the audience.

Everyone is using ChatGPT / Claude or similar models in their daily life - why not leveraging the power of the new models to solve your real business problems. The models are so powerful that you have a group of 10 smart developers around you to work with you. In the workshop we will experience vibe coding hands on - as a result you will take home a dashboard / small app. 

What scenarios will shape 2027? What will be the consequences of the 2026 US mid-term elections, how will the war in Ukraine unfold, and what will happen in the Middle East? What does this mean for energy prices, trade and risks? How will central banks respond? This session distils complex macro drivers into robust scenarios and a ‘watchlist’ of leading indicators, enabling strategists and senior decision-makers to identify risks earlier and make more robust decisions on network design, procurement and hedging. It also provides guidance on which factors are currently truly driving prices – and which are merely noise.

Anna, ExB's AI agent for logistics, processes waybills, invoices and customs documents. What does it take to make an AI agent reliable enough for live operations? Holger Trittenbach (Head of AI & Product, ExB) and Jonas Kilb (Business Development Manager, Logwin) explore how forward deployed engineering accelerates AI adoption, working directly alongside users and shipping in short iterations. Drawing on Logwin's use cases, they walk through how a use case is scoped, how Anna evolves with real documents, and what separates a pilot from a production-ready deployment.

AI, data quality, partnerships—the industry has been discussing these topics for years. But what actually happened in 2026? In this session, moderator Thomas Kistner, author of the Transporeon DACH Trend Report 2026, will challenge industry experts with the forecasts made at the beginning of the year—openly, critically, and without sugarcoating. What worked? What didn’t? And what does this mean for the decisions you need to make now? Bring your perspective to the discussion. (Session held in German)

AI is transforming supply chains. But without location context, that intelligence is incomplete. Real-world decisions depend on understanding where things happen, how assets move and which signals actually matter. Location provides AI with the critical context it needs to turn information into clear decisions. We’ll demonstrate how we help our customers move seamlessly from concept to execution. They’ll see how combining sensor data, signals and location intelligence delivers real-time shipment visibility, cuts operational complexity and drives smarter decisions through AI automation.

Everyone is using ChatGPT / Claude or similar models in their daily life - why not leveraging the power of the new models to solve your real business problems. The models are so powerful that you have a group of 10 smart developers around you to work with you. In the workshop we will experience vibe coding hands on - as a result you will take home a dashboard / small app. 

Artificial intelligence is intended to improve processes, reduce costs, and unlock new potential. In practice, however, the transition from initial pilot projects to widespread implementation is often slow. Why is that? What role do data quality, governance, and organization play? And what distinguishes companies that successfully scale AI from those that are still in the early stages? This session examines the current level of maturity in the manufacturing and logistics industries regarding the use of AI. It is based on recent study findings from TMG CONSULTANTS as well as practical experience from Robert Bosch Power Tools in the global logistics environment. Together, we will discuss key success factors and specific challenges on the path to becoming an AI-enabled organization.

Agentic AI is transforming logistics: AI systems no longer merely provide support, but make decisions independently and initiate processes. As a result, alongside the potential for increased efficiency, the requirements regarding liability, data protection, contract drafting, and governance are also growing. Holger Bürskens and Dr. Oliver Peltzer from the law firm Arnecke Sibeth Dabelstein use concrete real-world examples to illustrate the legal framework companies must observe when deploying autonomous AI systems—and how autonomy, efficiency, and responsibility can be reconciled.

What happens when customers start using AI agents to negotiate prices? When tailored onboarding processes can be created in just a few days? Or when system integrations are no longer major projects, but simply a detail?Through real-world examples and live demonstrations, we will show how AI is changing the rules of logistics and dramatically accelerating the speed of execution. Experience how ideas can be turned into productive solutions in a fraction of the time – and what that means for the future of the industry.

Artificial intelligence opens up new possibilities for businesses, processes, and decision-making. At the same time, questions arise as to which technological developments are truly relevant, where the limits of today’s systems lie, and under what conditions AI can be used effectively.

A brief presentation by Dr. Bernd Heinrichs (Inform) on the topic of “Explainable AI” will be followed by a debate on the opportunities and risks of AI. The focus will be on current perspectives on the potential of AI, technological developments, and key opportunities and challenges in practical application. Dr. Bernd Heinrichs and Prof. Dr. Jens Fürst will jointly discuss various theses, assess developments, and address technical issues.