Global supply chains are under pressure from demand volatility, forecast shifts, and complex constraints. For Merck’s planning organization, these challenges created manual reconciliation cycles, inconsistent decision-making, and limited ability to quickly model network impacts. This session explores Merck’s Agentic AI transformation journey, from manual firefighting to AI-accelerated planning. Attendees will learn how intelligent agents, automated scenario generation, human-in-the-loop validation, and governance guardrails can help planners evaluate demand shocks, forecast changes, and expiry exposure with greater speed and confidence. The discussion will provide a repeatable blueprint for operationalizing agentic workflows to improve resilience, planner productivity, decision quality, and cross-functional alignment while building a scalable foundation for intelligent supply chain operations.