Case Study: Heineken improves trade promotion forecast accuracy with Visualfabriq AI prediction models

Heineken improves trade promotion forecast accuracy with Visualfabriq AI prediction models

Heineken sought to enhance the accuracy and effectiveness of its trade promotion strategies. The company partnered with vendor Visualfabriq to leverage its AI prediction models for better demand forecasting and decision-making.

Visualfabriq's solution provided flexible AI prediction models that allowed Heineken to build, train, and adjust its own forecasts. By creating granular submodels filtered per retailer and SKU, which accounted for factors like price elasticity and seasonality, Heineken achieved significantly improved forecast accuracy. This led to better decision-making, increased profitability, and outperformed their previous manual prediction methods.

Heineken