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.
Join supply chain experts from Polestar Analytics and Pernod Ricard to see how AI-driven demand sensing can transform your business. In this 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.
-Reduce statistical bias across SKU clusters and surface alerts before they turn into supply failures with AI.
-Use autonomous signal processing to cut planning cycles from weeks down to days.
-Adopt AI fundamentally to transformed 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.
