Case Study: dress-for-less achieves 30% profit increase and 8% revenue growth with 7Learnings Predictive Pricing

Fashion retailer dress-for-less leverages dynamic price optimization to boost profit and sales

Dress-For-Less, a leading European online designer fashion outlet with roughly 20,000 constantly changing items, faced high manual workload and inconsistent blanket pricing that made it hard to track performance and react to shifting inventory and demand. To move from manual, flat discounts to a predictive, product-specific approach they engaged 7Learnings and its Predictive Pricing solution.

7Learnings implemented an automated, goal-driven predictive pricing system that translated Dress-For-Less’s business goals into operational pricing policies and applied machine-learning-driven, product-level price and discount recommendations. The result: within weeks Dress-For-Less reduced manual pricing work, maintained the same sales volume, and achieved measurable impact—about an 8% increase in revenue and a 30% increase in profit—while enabling more targeted discounts and faster, data-driven pricing decisions.

Dress-For-Less