Developing retail predictive models to create personalized commercial offers and increase customers’ value Challenge The client needed to develop its digitalization strategy to capture new clients, increase service quality and reduce operating costs, in order to strengthen its market position. This could be accomplished through the development of retail predictive models to create personalized commercial offers and increase customers’ value. Approach We developed a quick scan of the current database and warehouse in order to validate the data quality, data accessibility and analytical capacities. Then we identified possible predictive models based on channels, client retention and loyalty, and cross-selling; we calculated the impact of each one and counselled the client about feasibility

Join for free to read