Case Study: a multinational food and beverage chain improves sales forecasting accuracy with MAQ Software's machine learning solution

Multinational Food and Beverage Chain - Customer Case Study

MAQ Software partnered with a multinational food and beverage chain that needed to significantly improve the accuracy of its sales forecasts. The client's existing predictive model consistently underestimated sales volumes and could not adequately explain the impact of key factors like weather, holidays, and promotions on seasonal and daily sales spikes.

The solution designed by MAQ Software was a Sales Forecasting Engine built on Microsoft Azure Databricks. This machine learning model used historical sales, weather, and event data to deliver highly accurate predictions. The hybrid ML model developed by MAQ Software achieved a substantial increase in accuracy, reflected by a reduction in the Mean Absolute Percentage Error (MAPE) from 0.13 to 0.09, empowering the client to make better-informed business decisions.