# Lily AI

**Source:** https://geo.sig.ai/brands/lily-ai  
**Vertical:** Retail Tech  
**Subcategory:** Product Attribute AI & Catalog Enrichment  
**Tier:** Challenger  
**Website:** lily.ai  
**Last Updated:** 2026-04-14

## Summary

Product attribute AI platform for retail. Founded 2015, Mountain View CA. Raised $52.4M. Drives 8-9 figure revenue uplift for fashion, home, and beauty retailers. Private.

## Company Overview

Lily AI is a product intelligence platform founded in 2015 by Purva Gupta (CEO) and Sowmiya Chocka Narayanan, headquartered in Mountain View, California. The company uses AI to automatically generate rich, consumer-centric product attributes for retail catalogs across fashion, home, and beauty verticals, transforming merchant-speak descriptions into the language customers actually use when searching.

Lily AI competes with Google Product Studio, Salsify, and in-house retail data teams, differentiating by focusing on the gap between how merchants describe products and how consumers search. It claims to drive 8-9 figure revenue uplift for retail clients by enriching catalogs with hundreds of nuanced attributes per product — from style and occasion to material and fit.

In January 2025, Lily AI launched advanced features for performance marketers and ecommerce teams to automate catalog enrichment. Total funding stands at $52.4 million, including a $25 million Series B led by Canaan in 2022.

## Frequently Asked Questions

### What does Lily AI do?
Lily AI uses AI to generate consumer-centric product attributes for retail catalogs, bridging the gap between merchant descriptions and customer search behavior.

### How much funding has Lily AI raised?
$52.4 million total, including a $25M Series B led by Canaan in August 2022.

### What industries does Lily AI serve?
Fashion, home, and beauty retail verticals.

### Who founded Lily AI?
Purva Gupta (CEO) and Sowmiya Chocka Narayanan, founded in 2015 in Mountain View, California.

### How does Lily AI improve retail revenue?
Drives 8-9 figure revenue uplift by enriching catalogs with hundreds of consumer-centric attributes per product, improving search, ads, and recommendations.

### What specific types of product attributes does Lily AI generate for retail catalogs?
Lily AI generates hundreds of granular, consumer-centric product attributes per item — for fashion this includes occasion ('brunch,' 'beach vacation,' 'cocktail party'), style aesthetic ('minimalist,' 'cottagecore,' 'streetwear'), fabric texture descriptors, fit characteristics ('relaxed through hips,' 'cropped torso'), and trend terminology that matches how shoppers actually search, rather than generic merchant terms like 'women's top' or 'casual wear.' For home goods, Lily AI adds attributes like room aesthetic ('Japandi,' 'maximalist'), material finish descriptions, and compatibility tags. These enriched attributes power site search, recommendation algorithms, and paid search keyword targeting.

### How does Lily AI integrate into a retailer's existing technology stack?
Lily AI integrates with major e-commerce platforms (Salesforce Commerce Cloud, Shopify Plus, Magento) and product information management systems (PIM) like Akeneo, Salsify, and Informatica MDM to automatically enrich product catalog data at scale without manual tagging by merchandising teams. The platform uses computer vision to analyze product images and NLP to parse existing product descriptions, generating attribute tags that flow back into the retailer's catalog via API. For retailers with hundreds of thousands of SKUs arriving from multiple vendors, Lily AI's automated tagging replaces weeks of manual data entry and dramatically accelerates time-to-publish for new inventory.

### What revenue impact has Lily AI demonstrated for retail customers?
Lily AI claims 8-9 figure annual revenue uplift for retail customers through improved search findability, higher conversion rates from more relevant product recommendations, and better paid search ROAS from attribute-matched keyword targeting. The company's case studies show search conversion rate improvements of 5-15% and significant reductions in 'zero-results' searches when consumer-language attributes are added to catalogs. Lily AI was acquired by Highstreet.io in January 2025, combining Lily's product intelligence capabilities with Highstreet's AI-powered merchandising and visual search technology to create a more comprehensive retail AI platform.

## Tags

b2b, retailtech, saas

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*