How a Food Bank Cut Spoilage by 60 Percent with Demand Forecasting

Episode notes

In this episode, Lucas and Luna explore how a regional food bank slashed perishable food waste by 60 percent using demand forecasting and dynamic allocation. They break down the specific operational changes: predictive analytics on donation patterns, a redistribution network for nearing-expiry items, and a shift to a 'push' model. Learn how the food bank balanced mission with efficiency, and what lessons any operation with perishable inventory can take away. Tune in for a concrete case study in smarter logistics, backed by real numbers and practical insights. #FoodBank #DemandForecasting #Operations #WasteReduction #Perishables #Logistics #Nonprofit #SupplyChain #PredictiveAnalytics #InventoryManagement #FoodWaste #Efficiency #Business #ProcessImprovement #FexingoBusiness #BusinessPodcast #OperationsPodcast #Spoilage Keep every episode free: buymeacoffee.com/fexingo

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