Case Study: TOM TAILOR achieves 6.7% revenue uplift with 7Learnings predictive pricing

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Preview of the Tom Tailor Case Study

Fashion Brand TOM TAILOR Achieves 6.7% Revenue Uplift and Improves Inventory Management

Tom Tailor, one of Europe’s largest lifestyle fashion companies, needed a faster and more accurate way to manage pricing across its seasonal assortment, e-commerce store, and marketplaces. Manual Excel-based analysis and price updates were too slow, and the company also faced inventory pressure from excess stock and the challenge of matching pricing to different channel behaviors. 7Learnings provided predictive pricing optimization to help address these issues.

With 7Learnings, Tom Tailor automated and synchronized pricing and repricing across channels while keeping custom rules in place. The solution helped the company increase revenue by 6.7%, boost sales by 10.7% for sale items in its own e-commerce store, improve sell-through rates, and reduce operational effort in pricing, while also supporting better inventory management.


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