When REWE launched its new loyalty programme, one long-standing data product required a significant update: lifestage customer segmentation. We’ll show how we replaced a legacy linear-regression system prone to drift with a robust model. It scales survey ground truth from fewer than 20,000 respondents to millions of weekly transactions, mitigating data bias while maintaining prediction stability without frequent retraining.