Live demo in SAC: Added value of

AI agents in supply chain planning

Webinar on demand

How AI agents can support your supply chain planning—using SAP Analytics Cloud as an example

AI agents are currently one of the most discussed AI topics. However, their classification is difficult in planning processes along the supply chain: complex dependencies, heterogeneous systems, and high operational risks make it difficult to separate real added value from exaggerated expectations.

In our on-demand webinar, we provide clarity: Using a live demo, we’ll show how versatile AI agents can adapt demand planning—implemented as an example in SAP Analytics Cloud (SAC). We’ll demonstrate how agent-based logic works across systems and can be integrated into existing SCM landscapes in a pragmatic, controlled, and profitable way.

Here's what you can expect from the on-demand webinar:

  • Clear classification: What AI agents can do in supply chain planning—and how they differ from traditional automation and analytics.
  • Specificuse cases: Which agentic applications are already realistic and economically feasible today.
  • Livedemo in SAC: How agents adjust demand forecasts, analyze ERP statuses, and intelligently align production and sales plans.
  • Informed decisions: Simulation and evaluation of plan variants at the machine level , including specific recommendations for action.
  • Control & Governance: How changes can be securely written back into the system using guardrails, approval logic, and transparency .
  • Structured guide: How to integrate AI agents into your existing SCM processes step by step.

Take this opportunity to learn about the requirements for the effective use of AI agents in supply chain planning—and the benefits you can realistically expect today.   

Watch the webinar now:

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Webinar contributors

Janek Kapahnke
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Janek Kapahnke
Business Unit Lead SCM
celver AG

Janek Kapahnke has been developing planning and analysis solutions with customers from various industries for over 5 years. Today, he is responsible for the area of supply chain management and focuses on innovative solutions for current challenges in supply chain planning.

Tim Knudsen
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Tim Knudsen
Business Analyst
celver AG

As a data scientist, Tim Knudsen specializes in the design and implementation of machine learning and generative AI solutions. He helps clients make efficient use of data, automate processes, and build AI-powered applications. His project experience ranges from implementing robust data pipelines and training goal-oriented ML models to developing complete AI solutions.

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