Live demo in SAC: Added value of
AI agents in supply chain planning
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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 webinar on March 19, 2026, at 10 a.m., we will provide clarity: Using a live demo, we will show how flexible AI agents can adapt demand planning—implemented in SAP Analytics Cloud (SAC) as an example. We will demonstrate how agent logic works across systems and can be integrated into existing SCM landscapes in a pragmatic, controlled, and profitable manner.
What you can expect in the 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.
Click here to register for the free webinar:
Speaker
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.
Florian helped build up the smart data division at celver AG from the very beginning, focusing in particular on cloud, data science, and AI. As team leader for data science, he is responsible for projects related to the development of modern, cloud-based data platforms and the development of machine learning and AI solutions. His focus is on implementing scalable architectures and data-driven applications that create measurable added value for customers.
