Case Study: Leading Fast Food Restaurant Chain improves demand forecasting with Quantiphi

Sales Forecasting solution for a fast food restaurant chain supporting 15 mins, daily & daypart forecasts

Quantiphi helped a leading fast food restaurant chain in the USA, one of the top 10 in the market, address demand forecasting challenges across multiple stores and products. The customer needed a forecasting dashboard with periodic updates to better manage demand fluctuations, improve supply chain efficiency, reduce costs and food wastage, and optimize warehouse space.

Quantiphi implemented a sales forecasting solution for 15-minute, daily, and daypart forecasts using AWS services and machine learning methods such as ARIMA/ARIMAX, LSTM, and recurrent neural networks. The solution handled external factors like holidays, seasonality, and weather, and Quantiphi’s models outperformed the client’s legacy system by about 25% in error reduction while also providing sensitivity analysis for external influences on sales.