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Overstock ties up cash. Stockouts cost you sales and customer loyalty. Getting the balance right across categories, regions and suppliers is one of the hardest problems in retail and CPG.
Join Adastra and Microsoft for a live look at how AI-driven demand forecasting helps teams stock smarter and spend less, using Microsoft Fabric, Copilot and AI Foundry. We’ll also spotlight Heritage Grocers Group, who unified 1.3TB of POS data across 115 stores in Microsoft Fabric in two months, saving $500K+ a year and setting up AI-ready decisions ahead.
What You Will See
- How unifying sales, inventory and supplier data sharpens demand forecasts
- AI agents that flag stockout and overstock risk before they hit the P&L
- Customer spotlight: How Heritage Grocers Group brought 1.3TB of POS data from 115 stores together in Microsoft Fabric in two months
- A practical path to rolling this out across categories and regions
What You Will Walk Away With
- A clearer picture of how unified data leads to better customer understanding
- Ideas for reducing inventory and operating costs
- A view of where AI-driven forecasting can increase revenue
- A real-world example of the data foundation behind $500K+ in annual savings
- A realistic roadmap for scaling forecasting across your business

