Identified features affecting customers' product preferences and purchase frequency.
Using the extracted features, we built a classification and regression predictive model to predict each customer's next purchase date.
Enables the marketing team to deliver relevant product recommendations on the predicted next purchase date to drive repeat purchases.
Repeat customers are a valuable source for the business and the deployment of this solution increased the uplift in conversion rates by 80%, and 67% in revenue.