Forecast inaccuracy isn’t just a data problem; it’s a workflow problem. When teams rely on manual consensus cycles, the process absorbs weeks of valuable time, causing critical market signals to expire long before any action can be taken.

Hear from supply chain experts at Polestar Analytics and Pernod Ricard on how AI-driven demand sensing can transform your business. In this on-demand session, you will discover how to leverage autonomous signal processing to fundamentally transform your demand planning – moving your team beyond simple model accuracy to completely revamp their planning behavior and agility.

In this on-demand session, you’ll learn how to:

• Reduce statistical bias across SKU clusters and surface alerts before they turn into supply failures with AI
• Use autonomous signal processing to reduce planning cycles from weeks to days
• Adopt AI fundamentally to transform your planning team's behavior and approach
• Develop a practical framework to pinpoint exactly where AI intervention can drive measurable cycle-time and accuracy gains in your own processes