Celect
2 Case Studies
A Celect Case Study
Department Store Retailer worked with Celect to improve in-store revenue by better understanding customer buying patterns and determining the optimal merchandise assortment for each location. Like many retailers, the company was challenged by siloed data, backward-looking assortment decisions, and the risk of cannibalizing existing products when introducing new ones.
Using Celect Plan & Buy Optimization, the retailer analyzed inventory, transaction, browse, cart, and purchase data to predict localized demand and identify store-specific assortment opportunities. Celect uncovered hidden demand for items such as Michael Kors handbags in the Lancaster, PA store and helped optimize product mix across departments, contributing to a 7% increase in revenue across stores, along with notable category lifts in dresses and related items.
Department Store Retailer