Case Study: a leading alcoholic beverages company boosts sales by 14% with Sigmoid’s assortment recommendation engine

a leading alcoholic beverages company boosts sales 14% with Sigmoid

The customer, a leading alcoholic beverages company, sought to optimize its product assortment across both off-premise and on-premise retail outlets. Personalizing assortments for each individual store based on historical data was a complex and time-consuming challenge. They partnered with the vendor Sigmoid to find a data-driven solution that would enhance product placement and maximize revenue.

Sigmoid developed an assortment optimization solution using advanced analytics and ML algorithms on Databricks. The solution processed large volumes of data to create models that recommended the best product-outlet combinations and predicted sales potential. This enabled more accurate and informed decision-making. The implementation resulted in a significant business impact, including a 14% year-over-year sales growth for every new recommended product-outlet combination and an 80% correlation between projections and actual sales.

Leading Alcoholic Beverages Company