Selectika reads product imagery with computer vision and assigns more than twenty data points to each item, then builds on that: Find My Size, Complete The Look, Shop Similar, Shop The Look, a fashion chatbot, in-store experiences and trend forecasting.
Attribute data is the foundation everything else in fashion e-commerce sits on. Search, filtering, recommendations and now visibility inside ChatGPT and Gemini all depend on knowing that an item has a boat neck, a midi length and a viscose blend, and that data arrives from suppliers incomplete, inconsistent or missing altogether. Automating enrichment fixes the input rather than compensating for it downstream.
It is a London company listing ALDO, DKNY, Guess, JD Sports, Kenneth Cole, Nautica and Nine West as customers, and integrates with product management systems, search and LLM shopping surfaces. No pricing is published, the 90 percent trend-forecast accuracy figure is the vendor’s own, and automated attribute tagging still needs spot-checking, because a wrong attribute is worse than a missing one in a filter.
