How a Local Pizza Shop Used Data to Predict Customer Orders

In this episode, Lucas and Luna dive into the story of Rosario's Pizzeria in Portland, Maine, which used customer purchase data and weather patterns to predict orders, reduce food waste by 22 percent, and boost revenue by 18 percent in one year. Owner Maria Rosario shared how a simple spreadsheet and a free analytics tool helped her anticipate Friday night rushes and avoid overstocking. The hosts discuss how small businesses can leverage data without big budgets, the pitfalls of overcomplicating analytics, and why a pizza shop's approach could work for a hardware store or bakery. A practical, numbers-driven look at Main Street tech adoption. #RosariosPizzeria #DataDriven #SmallBusiness #PredictiveAnalytics #FoodWasteReduction #PortlandMaine #BusinessPodcast #MainStreet #CustomerInsights #InventoryManagement #RevenueGrowth #LocalBusiness #FexingoBusiness #SmallBizSuccess #TechOnMainStreet #OperationalEfficiency #CommunityCommerce #Business Keep every episode free: buymeacoffee.com/fexingo