Live Demo at SAC: The Benefits of
AI Agents in Supply Chain Planning
On-Demand Webinar
Supply Chain Management
How AI Agents Can Support Your Supply Chain Planning—Using SAP Analytics Cloud as an Example
AI agents are currently among the most talked-about topics in AI. However, it is difficult to determine their role in planning processes along the supply chain: complex interdependencies, heterogeneous systems, and high operational risks make it hard to distinguish 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:
- A Clear Overview: What AI Agents Can Do for Supply Chain Planning—and How They Differ from Traditional Automation and Analytics.
- Specific Use Cases: Which agent-based applications are already realistic and economically feasible today.
- Live Demo at SAC: How agents adjust demand forecasts, analyze ERP statuses, and intelligently align production and sales plans.
- Informed Decisions: Simulation and evaluation of design alternatives 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.
- Step-by-Step Guide: How to Integrate AI Agents into Your Existing SCM Processes.
Take this opportunity to learn what conditions must be met for the effective use of AI agents in supply chain planning—and what benefits you can realistically expect today.
Watch the webinar now:
Webinar Participants
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Janek Kapahnke has been developing planning and analytics solutions with clients from various industries for over 5 years. Today, he heads the Supply Chain Management division, where he focuses on innovative solutions for current challenges in supply chain planning.
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.
