Selectika
Selectika automates product tagging and enriches data for fashion brands using visual AI. The platform provides personalized shopping recommendations.
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Key features of Selectika
- Product enrichment Identifies and normalises around 100 fashion attributes, from shape and fit to colour, style and occasion.
- AI product descriptions Generates product descriptions, tags and fashion attributes from product images and catalogue context.
- AI outfitting Recommends complementary pieces from a retailer's catalogue using relationships learned from stylist-reviewed looks.
- Semantic search support Indexes product representations in a vector database so discovery works without exact title matches.
- REST API and webhooks Delivers enrichment through a REST API with configurable webhooks for item creation, updates and deletion.
Verified Oct 31, 2026 · Source
Who Selectika is for
Fashion retailers and brands who need AI-enriched product data for search, recommendations and catalogues.
Retailers expecting guaranteed placement in external AI search results, which Selectika says it cannot promise.
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Selectika FAQ
How do I fix a messy, incomplete product catalog?
Start with your existing images, titles, descriptions and supplier attributes. Selectika's Product Enrichment identifies and normalises fashion details into structured fields, descriptions and controlled vocabulary, with field mappings and review rules agreed to fit your catalogue and brand language.
Does Product Enrichment need shopper data?
No. The documented enrichment request is product-based, requiring item ID, product image URLs, gender and category. Sizing and personalisation experiences may need additional shopper information, which is agreed separately.
How do enriched outputs fit our PIM or commerce platform?
Selectika documents REST APIs and a Shopify app, and enriched catalogue retrieval supports JSON, CSV and XML. You map the fields each destination needs before activating the outputs.
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