Basket Analysis

Retail • Artificial Intelligence • Digital Experience


Previously, promotions were made without considering products related to one another.

Merchandising was done with no data on complementary products.

Missed opportunities for cross-selling or up-selling to customers during Back-to-School promotions.

Identifying complementary products to improve merchandising and increase sales.


Analyzed historical transactions data to identify complementary products.

Built models to determine the probability of products being purchased together.


Increased cross-selling by displaying complementary products near one another.

Increased sales of high-margin products by displaying these near complementary products with high sales volumes.

Improved promotion management by enabling data-driven decision making and merchandising.