Lily AI
Customer-language product attribution AI for enterprise retail catalogs.
About
Lily AI is a female-founded retail AI company that bridges the gap between merchant-speak and customer-speak. Its platform analyzes product catalogs with computer vision, NLP, machine learning, and generative AI, then enriches them with the natural language consumers actually use when they search and shop, distributing the optimized data across a retailer's website, Google Merchant Center, ads, and beyond. The company reports 300+ fine-grained classification models trained on 3+ billion retail and consumer data points (vendor-reported).
Its no-code Product Attributes Platform and Shopify integration make attribute enrichment accessible without ripping out existing tech investments, and the company raised a $20M Series B-1 led by Conductive Ventures in 2024 with customers including Macy's, Bloomingdale's, and Abercrombie & Fitch. Honest caveats: revenue-lift claims (up to 9-figure uplift) are vendor-reported; it is enterprise-contracted.
What it can do
- Customer-language product attribute enrichment
- Google Merchant Center and ads feed optimization
- Shopify no-code integration
- Search, filter, and facet improvement
Setup
Enterprise engagement via lily.ai; Shopify integration available.
Prerequisites
A retailer product catalog and e-commerce stack.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 101; Trending score 70/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.