Case Study: a leading retail bank achieves higher product uptake with Fractal’s AI-driven product recommendations

Deliver next best product recommendations during customer interactions

A leading retail bank sought to improve customer engagement and the accuracy of its product recommendations by incorporating crucial online and offline data. Their existing models needed refinement to better arbitrate between competing offers, with the goal of achieving higher response rates and a superior customer experience. To address this, the bank partnered with Fractal for an AI-driven solution.

Fractal developed an AI-powered personalization engine that merged the bank’s online and in-person data to create a unified customer view. Using deep learning, their solution identified the most likely product choices for each customer. Following testing and deployment, the bank saw a significant increase in product uptake, improved conversion rates, and smarter marketing through refined targeting. This data-driven approach from Fractal led to a reported 60% boost in uptake, optimizing marketing spend and driving growth.