Recommendation of New Products to Sell

A food service distributor with 120 salespeople and more than 11,000 product references wants to grow sales by increasing the number of product references sold to each customer. Solution Developing a recommendation engine for the sales team that selects the 5 products most likely to sell to each customer, using customer behaviour analytics techniques and taking into account: - Customer profile and characteristics - Customer purchase history - Interactions made by similar customers