Demand Forecasting to Cut Food Waste
Forecast each item per hour to cut waste and stockouts, with supplier order recommendations.
A Shawarma chain in Jeddah needs to know how many kilograms of chicken meat to marinate for Wednesday. The AI model reviews past sales, the local Al-Ittihad match schedule, temperature forecasts, and traffic conditions to predict chicken demand within 4% accuracy, saving 80kg of waste.
How it works
- Integrate POS & ERP Data: Ingest historical hourly sales tickets, raw material stock logs, and menu ingredient ratios.
- Temporal Forecast Modeling: A deep learning model (Temporal Fusion Transformer) processes seasonal patterns, weather forecasts, paydays, and school calendars.
- Inventory Order Automation: Generates daily procurement suggestions for raw ingredients, automatically matching predicted customer demands.