How Distributors Use Predictive Analytics to Prevent Stockouts

Episode 39 of Wholesale & Distribution with Fexingo explores how distributors are using predictive analytics to prevent stockouts before they happen. Lucas and Luna break down the mechanics: ingesting historical sales data, supplier lead times, seasonality, and even weather patterns into machine learning models that flag at-risk SKUs days or weeks in advance. They dive into a real example from a mid-sized MRO distributor that reduced stockout frequency by 47 percent and cut excess inventory by 12 percent within nine months of deployment. The hosts discuss the data quality prerequisites, the cultural shift from gut-feel buying to algorithm-driven replenishment, and where human judgment still matters — especially during supply shocks. If you're in distribution and tired of scrambling for emergency orders, this episode gives you a concrete framework for getting ahead of demand. #PredictiveAnalytics #Stockouts #InventoryManagement #Distribution #SupplyChain #DemandForecasting #MRO #DataQuality #MachineLearning #Retail #Wholesale #B2B #Logistics #InventoryOptimization #FexingoBusiness #BusinessPodcast #WholesaleAndDistribution #SupplyChainTech Keep every episode free: buymeacoffee.com/fexingo