• Objective

Food & Beverage Company, one of the biggest beverages company needed to increase the variety of SKU’s that sold per customer, minimize stockout performance and optimize trade promotion components.

Solution

An analytical engines developed with various data streams like historical sales, weather, event, promotion, store segment, which builds models to find the most accurate prediction and selects the best model combination for each SKU. Product associations are discovered to uncover opportunities and optimized trade activities

Wins

6 Millions Transactions

Analyzed to create selected level suggestions

11% percent penetration increase at selected brand levels

19% percent penetration increase at SKU level