Selectika

Selectika provides fashion specific AI for retailers and brands, which it calls fashion decision intelligence. Its multimodal models read product imagery and catalogue data to understand garments the way a stylist would, then use that understanding to enrich product data, interpret what shoppers are asking for, and build outfits from a retailer's own catalogue. The product is aimed at fashion retailers, brands and marketplaces, as well as teams building AI shopping experiences. It is organised into connected solutions. Product Enrichment turns images and catalogue information into consistent fashion attributes that support filtering, discovery and merchandising. Smart Search lets shoppers describe an occasion, preference or constraint in everyday language and matches that request to relevant products. AI Outfitting connects complementary pieces to suggest complete looks and relevant add ons, and Shop Similar surfaces alternatives on the product page. Selectika also supports sizing guidance, illustrated in its case study with the outdoor clothing brand Apricoat, where customers had been ordering several sizes of one item and returning the rest. Selectika does not publish pricing. Engagements begin through its contact form, so costs are quote based and depend on catalogue and deployment scope. The company is careful about how it presents results: its JD Sports case study figures are labelled as calculated from with and without comparisons in that single deployment, with a note that measurement periods and sample sizes are not supplied and that they are not a forecast for other retailers.