Global fashion retailer · Retail, Commerce & Consumer
Fashion Retailer Lifts Discovery Conversion with Visual AI
A global fashion retailer replaced keyword search with semantic and visual discovery, connecting catalog quality, availability, and try-on exploration across its commerce experience.
About the client
A multi-market fashion retailer operating an omnichannel business—flagship stores, concessions, and a fast-growing ecommerce platform—merging seasonal collections across thousands of SKUs per season.
The challenge
Shoppers described occasions, styles, and outfits—but search only matched exact keywords. Thousands of SKUs carried inconsistent attributes and imagery, burying relevant products and suppressing conversion while returns stayed high on items customers misjudged from thumbnails. Merchandising teams spent weeks each season enriching the new catalog by hand, and every campaign launch re-created the same discovery gaps.
The engagement
Global AI Nexus connected the retailer’s product catalog, imagery, and availability into a single intelligence layer, then rebuilt discovery around semantic understanding: intent beyond keywords, ranking by context and behavior, and visual exploration anchored to the live catalog.
A guided virtual try-on experience was added for selected categories, engineered with consent, retention controls, and quality validation so the experience earned trust rather than chasing novelty.
To keep the layer sustainable at catalog scale, automated attribute and imagery quality checks were deployed into the merchandising workflow—catching missing variants, inconsistent photography, and non-compliant imagery before publication instead of after customer complaints.
In their words
“Search used to answer what customers typed. Now it answers what they meant—and shows it on them. Discovery went from a funnel bottleneck to the reason people open the app.”
VP Digital Commerce, Global fashion retailer
The results
- 01Discovery-to-product conversion rose 23% within the first quarter of release.
- 02Return rates on sessions using visual exploration fell 18%.
- 03Catalog teams cut enrichment backlog using automated attribute and imagery quality checks.
- 04Seasonal campaign launches now ship with discovery configured on day one—no re-platforming.
- 05Merchandising insight from aggregate visual interactions now informs assortment decisions each season.
GAINX systems deployed
The solution systems behind this outcome.
Start with the business objective