Last updated March 24, 2026
Lily AI
FeaturedClosed SourceAI platform that enriches product data with consumer-language attributes to improve search and recommendation accuracy
Best for: Fashion and lifestyle retailers who want to bridge the gap between how they describe products and how customers search for them
Target Audience
Fashion/lifestyle enterprise retailers, merchandising teams
Overview
Lily AI enriches product catalog data by translating technical product attributes into the natural language that consumers actually use when shopping. Instead of "navy polyester blend crew neck," Lily AI adds consumer-relevant attributes like "dark blue casual top for date night." This enriched product data dramatically improves on-site search accuracy, recommendation relevance, and now — critically for agentic commerce — how well AI shopping agents can match your products to consumer queries. Retailers using Lily AI report significant improvements in product discovery and reduced return rates.
Key Features
Integrations
Specifications
Pros
- Unique product data enrichment approach
- Proven search improvement
- Reduces returns
- Critical for AI discoverability
Cons
- Enterprise pricing only
- Fashion/lifestyle focused
- Requires catalog integration work
Quick Facts
- Pricing
- Enterprise custom
- Starting Price
- Contact sales
- Category
- Ai Product Discovery
- Founded
- 2015
- HQ
- Mountain View, USA
- Company Size
- 51-200
Pricing Details
Enterprise custom pricing. Contracts typically $10,000+/mo depending on catalog size and traffic. Implementation fee may apply.
Compare Lily AI
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