Context :

A retail chain was looking to improve its business performance in the face of increased competition. Customer data, scattered across multiple systems, limited its ability to personalize offers and anticipate trends.

Approach :

We implemented a centralized data management platform, integrating internal and external sources. An AI customer segmentation model was developed to predict purchasing behaviors, and personalized recommendations were integrated into sales channels. Training was provided to support marketing teams in using the insights.

Results :

In six months, the brand saw an 18% increase in online sales thanks to targeted campaigns. Customer loyalty increased by 12%, and marketing costs were reduced by 15% thanks to better resource allocation.