Supply chains are too dynamic for batch planning and manual exception handling. Enter Agentic AI goal driven software agents that perceive signals, reason across constraints, collaborate with other agents, and act through your planning systems. 

In this webinar, we’ll show how autonomous planning agents orchestrate inventory rightsizing, capacity-constrained supply plans, and deployment reallocation while keeping humans in the loop for oversight and policy control. 

We’ll unpack core capabilities like scenario generation, proposals, and guardrails for compliance and boundaries.  Volatile demand, shifting supply constraints, and rising service expectations are stretching traditional planning to the breaking point. 

In this webinar, we explore how AI augments supply chain planning from S&OP through demand and inventory optimization, as well as supply.  Moving teams from reactive firefighting to proactive, scenario-driven decisions.  

Key pain points we’ll tackle:  

• Slow exception handling and calendar-driven cycles  

• Fragmented data that restrict end-to-end visibility and timely actions  

• Infeasible plans due to shifting capacity, supplier reliability, and long lead times  

• Limited multi-scenario comparison analysis  

• Governance gaps with unclear accountability and authorization  

Takeaways  

1. An understanding of how agents assist planners in their daily activities   

2. See how agent created scenarios provide visibility and recommendations   

3. Practical considerations when embarking on an Agentic AI journey