ECOMMERCE + PRODUCT OPERATIONS
LILY AI
Product attribution that matches how shoppers actually search, valuable in direct revenue terms and invisible in the creative process.
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THE FULL REVIEW
INFRASTRUCTURE THAT CONNECTS DIRECTLY TO REVENUE.
Lily AI bridges the gap between how fashion brands describe products and how consumers search for them. More than 15,000 consumer-language attributes get enriched across your catalog, improving site search, SEO, paid media, and personalization from one integration. It is trained on over 3 billion retail data points and used by Macy's, Bloomingdale's, and thredUP. The company is female-founded.
This is infrastructure, not inspiration. Nobody on the creative team will feel it working, and that is the point. The condition for success is an ecommerce lead who owns the integration and measures search and conversion before and after.
WHERE IT EARNS ITS PLACE
Catalogs still tagged by hand, PDPs running on generic copy, and any brand where site search misses products shoppers would have bought.
WHERE WE WOULD NOT USE IT
Creative direction, design work, or small catalogs where a merchandiser can tag every product personally in an afternoon.
WHERE IT FITS
AUDIT
Check how products are tagged now and where site search fails.
PILOT
Run Lily AI enrichment on one category and measure search results.
INTEGRATE
Connect enriched attributes to site search, SEO, and paid media.
SCALE
Extend attribution across the full catalog once revenue lift is proven.
CREATIVE DIRECTOR'S NOTE
INFRASTRUCTURE, NOT INSPIRATION.
This is infrastructure, not inspiration. But infrastructure that directly connects to revenue is what boards and CEOs care about. If your e-commerce team is still manually tagging product attributes or using generic SEO copy on PDPs, put Lily AI in front of your e-commerce lead.
BOTTOM LINE