Case Study: a leading online grocery delivery service provider achieves $60MM incremental revenue with Tredence's machine learning-powered market identification

Leading Online Grocery Delivery Service Provider - Customer Case Study

A leading online grocery delivery service provider wanted to expand its pickup service into new markets but needed to identify which specific stores had the highest potential for success. They engaged Tredence to develop a data-driven solution for this market identification challenge.

Tredence implemented a two-step analytical process using machine learning techniques, including mixed effects modeling and Generalized Linear Models (GLM), to identify key performance drivers and score potential stores. This solution provided the client with actionable recommendations, resulting in an incremental revenue of $60MM from the launch of the service in the predicted stores.