Live demo in SAC: Added value of AI agents in supply chain planning
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.
Janek Kapahnke provides clarity in the AWF’s compact seminar: Using a live demo, he shows how versatile AI agents can adjust demand planning—as exemplified by their implementation in SAP Analytics Cloud (SAC). In doing so, he demonstrates how agent-based 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 design options at the machine level, including specific recommendations for action.
- Control & Governance: How changes can be safely committed back to the system using guardrails, approval workflows, 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 AWF Compact Seminar:
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