Case Study: St. Marche Supermarkets improves retail intelligence and forecasting with Wolfram Language and Mathematica

More Intelligent Retail Management with the Wolfram Language and Mathematica

a major supermarket chain in Brazil faced the challenge of managing vast amounts of customer and operational data to remain competitive. As Manager of Retail Intelligence, Rodrigo Murta needed to automate processes, improve forecasting, and better control internal communications. Without the ability to visualize and analyze this data efficiently, decision-making was a risky and costly endeavor for the company.

Using the Wolfram Language and Mathematica from Wolfram, the company built a customized relationship program to transform raw customer data into actionable intelligence. The solution enabled them to visualize customer locations to determine optimal sites for new stores and establish automated rules for pricing tens of thousands of units. Wolfram provided a powerful, all-in-one tool that allowed for rapid analysis and reporting, ultimately leading to better profit control and more informed decisions for investors.

St. Marche Supermarkets

Rodrigo Murta

Manager of Retail Intelligence