For this study, an analysis of a dataset from a company in the retail food sector that sells products from 5 major categories: wines, rare meat products, exotic fruits, specially prepared fish and sweet products will be conducted. The customers can order and acquire products through 3 sales channels: physical stores, catalogs and company’s website. Then a predictive model will be built to support direct marketing initiatives and improve the company’s revenue.