Case Study: a leading fresh food supplier achieves up to 95% demand forecasting accuracy with The Smart Cube

Leading Fresh Food Supplier predicts demand with up to 95% accuracy using The Smart Cube

A leading fresh food supplier promoting plant-based diets in the U.S. faced immense difficulty predicting demand for its products due to the unprecedented market volatility caused by the COVID-19 pandemic. To gain the necessary insight for effective commercial, sales, and operations planning, the company engaged The Smart Cube to deploy the demand planning module of its Revenue Growth Management solution.

The Smart Cube augmented the client's internal data with numerous external sources, harmonized the data, and used advanced feature engineering and a parametric forecasting approach to create a dynamic scenario modelling simulator. This provided the client with highly accurate, combination-specific future projections. The solution delivered demand forecasting predictions with up to 95% accuracy, enabling confident, data-driven strategic planning and allowing key stakeholders across the organization to prepare for a wide range of possible market conditions.