Case Study: a large CPG company boosts store coverage and sales with Fractal

The art of realizing in-store potential Increasing coverage and sales through AI algorithms in CPG

The large CPG company, a world leader in consumer packaged goods, faced the challenge of an inefficient and manual route-to-market strategy. Their existing processes used a single must-stock list for all stores and unidimensional segmentation, which failed to realize the full sales potential of their vast retail network. To address this, they partnered with Fractal to implement an AI-based solution.

Fractal provided a transformative solution that included advanced data discovery, packaged AI for store re-segmentation, and actionable insights for sales teams. They built deep learning models for route optimization and used AI algorithms to provide intelligent stock recommendations. This approach resulted in a net revenue sales uplift of 4% for the client, alongside a 20% increase in store visits and a 12% reduction in the cost to serve.