Case Study: Torrid achieves accurate, self-learning site search and increased revenue with Bloomreach Search & Merchandising

How Torrid Helps Customers Find What They Want with Self-Learning Site Search

Torrid, the fast‑growing U.S. plus‑size fashion retailer, needed to improve its online shopping experience by returning accurate, relevant search results across a wide and diverse catalog. eCommerce Program Manager Sumaira Khan led the effort to build a holistic, shopper‑focused site search that not only understands queries but also adapts results based on visitor behavior so popular and relevant items surface for each customer.

Torrid implemented Bloomreach Search & Merchandising (including Thematic Pages) integrated with Salesforce Commerce Cloud, deploying a self‑learning, AI‑driven search in six weeks. The solution delivered consistent, behavior‑aware results and higher merchandising confidence, driving up team efficiency (~+15%), revenue per visitor (~+5%) and search/browse revenue (~+10%) while shortening the customer journey.

Torrid

Sumaira Khan

eCommerce Program Manager