Case Study: American Consumer Health Company boosts sales and shelf share with Sigmoid’s AI-driven planogram optimization

American Consumer Health Company boosts sales 8% with Sigmoid

The customer, an American consumer health company, faced a challenge in designing an efficient merchandising strategy for its leading brands. Manually analyzing sales data and creating planograms was a time-intensive process that took 3-4 months per reset. They partnered with the vendor Sigmoid to find a solution using category assortment optimization.

Sigmoid implemented an ML-based assortment optimization solution to automate planogram creation. This approach analyzed consumer behavior to identify optimal product placement, processed multiple data sets to create store clusters, and generated space-aware, localized planograms. As a result, Sigmoid's solution helped project an 8% sales uplift, achieved a more than 2% point increase in the brand's share of shelves, and delivered 50% savings in retailer labor hours.