Food waste is one of the largest controllable costs in the restaurant industry. The average restaurant wastes between 5% and 10% of the food it purchases.
Traditional demand forecasting relies on the experience and intuition of the head chef. While experienced operators develop good instincts, they cannot account for the dozens of variables that influence daily demand.
AI-powered demand forecasting changes this entirely. By analyzing historical order data alongside external variables like weather forecasts and local events, our AI predicts daily order volumes with remarkable accuracy.
The implementation is straightforward. The AI needs a minimum of 30 days of historical order data to begin generating useful predictions.
Beyond direct waste reduction, accurate demand forecasting has cascading benefits: lower food costs, less kitchen stress during peak hours, and fewer emergency supplier runs.