Case Study: ThredUp boosts sell-through with Lily AI

Increases Sell-Through by 15% with Enriched Product Data from Lily AI

thredUP, the resale fashion marketplace, needed a way to categorize and tag millions of unique items at massive scale while keeping search, navigation, and product discovery efficient. The company’s internal teams were spending significant time on manual tagging and QA, which slowed operations as inventory grew across tens of thousands of brands and categories.

thredUP implemented Lily AI’s Product Intelligence for AI-driven deep tagging across its catalog. Lily AI helped tag about 275,000 images per week, expanded the attributes shoppers could search by, and improved both operational efficiency and customer experience, resulting in a 15% lift in sell-through, a 2%+ conversion lift for repeat customers, a 2.8%+ conversion lift on iOS, and a 2.1% increase in favorites per user.

ThredUp

Chris Homer

Co-Founder and CTO