Regis Corporation Invests in Analytics
Forecasting Foot Traffic at Retail Locations
A Carlson Analytics Lab Client Project
The largest North American salon chain needed better ways to forecast foot traffic at hundreds of retail stores. The Carlson Analytics Lab team developed a multivariate model to account for differences in location, brand, customer population, and service type, as well as variation by hour, day of week, and season.
The next year, another team created an algorithm for the company to customize product assortments for each store to better fit the buying trends of unique customer groups in various geographic locations.
Regis later hired one of the students—now a graduate—to help expand their internal analytics capabilities.