Agentic AI is changing how supply chains are planned – not by replacing people, but by creating a new collaboration model between humans and machines. AI agents analyze data, detect patterns, and proactively provide actionable recommendations. Humans stay in control, but make better, faster, and more data-driven decisions. Real-world examples show the impact: Faller Packaging improved its forecast accuracy by 50%, while HelloFresh reduced stockouts by 50%. This talk shows how AI agents boost forecasting quality, reduce manual effort, and enable more resilient supply chains, and why getting started is easier than you think.

• how AI agents support planners by analyzing data and providing actionable recommendations
• why human expertise remains central, with AI enhancing rather than replacing decisions
• real-world results showing major improvements in forecast accuracy and reduced stockouts