How Supermarkets Are Using AI to Cut Food Waste

Episode 17 of Retail Conversations with Fexingo explores how grocers are deploying artificial intelligence to tackle the staggering problem of food waste. Lucas and Luna dive into the numbers: roughly 30 to 40 percent of the U.S. food supply goes unsold or uneaten each year, costing the industry over 200 billion dollars. They examine how chains like Walmart and Kroger are using machine learning to predict demand more accurately, adjust orders in real time, and mark down perishables before they spoil. The hosts also discuss a specific pilot at a regional grocer in the Midwest that cut spoilage by 18 percent in six months using shelf sensors and dynamic pricing. The conversation touches on the economics, the environmental impact, and whether these tools will scale beyond early adopters. A thoughtful, data-rich look at one of retail's most expensive inefficiencies. #FoodWaste #ArtificialIntelligence #GroceryRetail #Walmart #Kroger #DemandForecasting #DynamicPricing #ShelfSensors #Sustainability #MachineLearning #RetailTech #Business #SupplyChain #InventoryManagement #FexingoBusiness #BusinessPodcast #RetailConversations #DataDriven Keep every episode free: buymeacoffee.com/fexingo