• Explore how AI agents enable real-time, risk-aware orchestration across end-to-end supply chains
• Move beyond static ERP systems toward dynamic, adaptive planning, inventory, and transportation execution
• Examine use cases including dynamic rerouting, disruption management, and inventory rebalancing strategies
• Reduce logistics costs, minimize delivery exceptions, and improve on-time performance with AI-driven decisions
• Build an executive roadmap to scale AI capabilities across complex, multi-party supply chain networks