Predicting Store Cannibalisation using ML | Emily Smith | Pets at Home скачать в хорошем качестве

Predicting Store Cannibalisation using ML | Emily Smith | Pets at Home

Emily Smith, Data scientist at Pets at Home, talks about the challenges of site selection for new stores & how this impacts their existing customer bases. She discusses how Pets at Home developed a Machine Learning approach to predict how revenue & customers will naturally redistribute when a new store opens, and how this allowed them to quickly & efficiently model predicted store catchments & determine impact ahead of investment. You can find a PDF of the slides available here: https://go.carto.com/hubfs/SDSC22Lond... For more information on the use of location data to perform site selection & gain customer insights, check out: https://carto.com/solutions/site-sele...