Case Study: North American Online Fashion Retailing Company achieves faster go-to-market and cleaner catalogs with Vue.ai

Accelerating Go-To Market for a North American Online Fashion Retailer

North American Online Fashion Retailing Company is a multi-brand fashion e‑commerce marketplace serving 20M+ members that needed to standardize a sprawling catalog. Their challenge was inconsistent product metadata from many suppliers and the need for a clean taxonomy and accurate, fast labeling to support search, discovery, assortment analysis and internal Data Science—so they evaluated Vue.ai’s product tagging solution, VueTag.

Vue.ai implemented VueTag’s automated image-recognition tagging (upload, review, download) to extract 230+ attributes and build a defined taxonomy, enabling bulk review and accuracy monitoring. The project tagged over 57,000 images and generated 400,000+ tags (with 10,000+ verified) and achieved over 90% accuracy on key categories; teams could tag and review 1,000+ items in a single session with average review times of 30–40 seconds, significantly reducing manual effort, improving search and discovery, and accelerating time-to-market.