Since its foundation in 1957, Magazine Luiza has grown from a single physical store to more than a thousand stores, several distribution centers and omnichannel presence. As one of the most relevant retailers in Brazil, Magalu has earned trust of more than 20 million customers for which it offers a item catalog of more than 10 million products. In order to understand, personalize and simplify these consumers’ purchase decisions, Magalu have been deploying several recommender models over the years, both from industry and academia. This talk presents how recommender systems were used in the past, how Magalu currently personalize customer experience and what challenges are expected for the next few years.
Short Bio
Andrei is a data scientist at Magazine Luiza. He has been working in the recommendations team since 2017. His research interests include recommender systems, text mining and machine learning.