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IntentWeave™ - Visual AI Attribute Generation for Shopify
IntentWeave™ generates visual product attributes from imagery so large catalogues can recommend new SKUs without manual tagging.

A closer look
Built for better discovery.
Large catalogues move faster than manual tagging can support. IntentWeave™ reads product imagery and generates usable attributes such as silhouette, neckline, sleeve, texture, and colour family, so new products can enter recommendation logic without manual enrichment or engineering work.
Turn product imagery into usable catalogue intelligence
Large catalogues change too quickly for every useful merchandising attribute to be created and maintained by hand. IntentWeave™ reads product imagery and converts visual characteristics into structured signals that RecoMelon can use for discovery.
Depending on the category, those signals can include silhouette, neckline, sleeve, texture, colour family, pattern, fit cues and other characteristics that help explain what a shopper is responding to visually.
Reduce dependency on manual tagging
IntentWeave™ enriches the catalogue from imagery already available and gives new or sparsely tagged products a way into recommendation logic. Generated attributes can support VisualDNA™ matching, Dealbreaker™ refinement and other RecoMelon experiences while merchant data and commercial rules continue to contribute where appropriate.
Designed for catalogue velocity
New drops, seasonal ranges and long-tail products can be understood consistently without waiting for a manual enrichment project, helping discovery keep pace with the catalogue.
Guides and implementation
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