How Restaurants Are Using Data to Predict What Youll Order

Episode 18 of Restaurant Business with Fexingo dives into the growing trend of predictive ordering in restaurants. Lucas and Luna explore how operators are using point-of-sale data, weather forecasts, and local event calendars to forecast demand with surprising accuracy. They discuss a specific case: a 12-unit pizza chain in the Midwest that reduced food waste by 22% and improved staff scheduling using a simple predictive model built on past sales and weather data. The episode also touches on the ethical considerations of data collection, the cost of implementing such systems, and why small independents have an edge over big chains in this area. Lucas shares a conversation with the chain's COO, who explains how the system works without requiring a data science team. Luna challenges whether this is just another form of surveillance, and they debate where the line should be drawn. A timely episode for any operator looking to tighten margins without sacrificing hospitality. #PredictiveOrdering #RestaurantTech #FoodWasteReduction #DataDriven #RestaurantOperations #InventoryManagement #LaborScheduling #WeatherData #POSData #IndependentRestaurants #PizzaChain #MidwestBusiness #Business #RestaurantManagement #FexingoBusiness #BusinessPodcast #FoodService #Hospitality Keep every episode free: buymeacoffee.com/fexingo