Case Study: Westwing achieves profit uplift with 7Learnings

Westwing Achieves Significant Profit Uplift on Subset of Assortment with 7Learnings

Westwing, a leading premium e-commerce retailer in the home and living sector, faced challenges in maximizing profitability within a highly competitive market. With a large and rapidly changing assortment, they struggled to find optimal price points that considered competitor prices, customer sensitivity, and product variants, all without losing market share. They turned to the price optimization feature from vendor 7Learnings to address these challenges.

7Learnings implemented a solution that used machine-learning-based predictions to simulate pricing scenarios and conduct an A/B test. This allowed Westwing to set consistent prices for product variants efficiently. The results for the tested assortment were a significant increase in profit and a halving of the operational time required for pricing, achieving Westwing's goal of profit maximization.

Westwing