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Lily AI

Product attribution and discovery AI for retailers and brands

ecommerce#product-attribution#ecommerce-search#product-discovery#demand-prediction
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Toolglade’s take

Lily AI addresses a real and often overlooked problem: the mismatch between how merchants tag products and how shoppers actually search for them. Its attribute-enrichment and demand-prediction approach can meaningfully improve search relevance and conversion for retailers with large, nuanced catalogs, especially in fashion and apparel. It is an enterprise platform with custom pricing and integration requirements, so it is not a fit for small merchants. Validate impact on your own catalog and search stack before committing.

About Lily AI

Lily AI is an enterprise ecommerce platform that generates rich, customer-centric product attributes from images and data, then injects that attribute and intent data across search, recommendations, discovery, and demand prediction. By aligning merchant taxonomies with how shoppers search, it aims to improve relevance and conversion for retailers and brands, particularly in apparel and fashion. Pricing is custom and enterprise-oriented.

Lily AI is an enterprise ecommerce AI platform that focuses on product attribution: it analyzes product images and data to generate rich, customer-centric attributes and maps them to how shoppers actually search. This attribute and intent data is then injected across the ecommerce stack to improve on-site search, personalized discovery, recommendations, and demand prediction. By bridging the gap between merchant product taxonomies and consumer language, Lily AI aims to help retailers surface the right products for a given query, improve relevance, and lift conversion. It also offers solutions to improve performance on external channels like Google Search through better product data. Lily AI is an enterprise-focused platform serving brands and retailers, particularly in categories like apparel and fashion where nuanced attributes drive discovery. Pricing is custom and enterprise-oriented rather than published, and value tends to concentrate in mid-to-large catalogs where attribute enrichment and demand prediction have meaningful impact.

TL;DR

Lily AI is an enterprise ecommerce platform that generates rich, customer-centric product attributes and intent data, then injects it across search, recommendations, discovery, and demand prediction. It aligns merchant taxonomies with shopper language to lift relevance and conversion, especially in apparel and fashion. Pricing is custom and enterprise-oriented with integration work required. It fits mid-to-large retailers, not small merchants.

Company overview

Lily AI is a US-based ecommerce AI company specializing in product attribution and discovery. It serves brands and retailers seeking to improve search, personalization, and demand prediction through richer, shopper-centric product data.

The company has grown through multiple funding rounds and enterprise customer adoption, with particular strength in attribute-rich categories like fashion and apparel.

Product features

Lily AI's core capability is AI-driven product attribution from images and data, producing customer-centric attributes and intent mappings. This data powers on-site search relevance, personalized recommendations and discovery, external-channel performance (such as Google), and demand prediction.

The platform integrates with retailers' existing search, recommendation, and catalog systems via APIs and data pipelines.

Target market

Mid-to-large retailers and brands, especially in apparel and fashion, that want to improve search relevance, discovery, personalization, and demand forecasting through enriched product data.

Buyer personas

End users

Merchandisers, search/discovery teams, and data teams using enriched attributes.

Buyers

Heads of ecommerce, digital, and merchandising at retailers and brands.

Key influencers

Search platform owners, data science teams, and analysts.

Ideal customer profile

A mid-to-large retailer or brand with a nuanced catalog (e.g., apparel) that wants to close the taxonomy-shopper gap and improve search, discovery, and demand prediction.

Funding & performance

Lily AI has raised multiple rounds, including a reported ~$20M Series B-1/B-Prime in March 2024 led by Conductive Ventures, with total funding reported in the range of roughly $52M-$64M depending on source. Verify current totals with the company.

Pros & cons

Pros

  • Addresses the taxonomy-versus-shopper-language gap directly
  • Attribute enrichment can lift search relevance and conversion
  • Combines image and text analysis for rich attributes
  • Feeds multiple systems: search, recommendations, demand prediction
  • Strong fit for apparel and fashion catalogs
  • Improves external channel performance like Google
  • Backed by multiple funding rounds and enterprise adoption

Cons

  • Enterprise-only with custom, unpublished pricing
  • No free plan or self-serve entry
  • Integration effort required across search and data systems
  • Value concentrated in larger, nuanced catalogs
  • Impact depends on existing search/discovery stack quality
  • Not suited to small merchants or simple catalogs

Pricing plans

Enterprise (custom)
Custom
  • Product attribution
  • Search and discovery enrichment
  • Demand prediction
  • Custom integration

Key features

API
Team collaboration
Integrations
Ecommerce search platforms, Google Search / Shopping, Product catalogs, Recommendation engines
Input types
text, image
Output types
text
Best For
Product attribute enrichment, On-site search relevance, Demand prediction and planning, Retail personalization

Compare key features

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Feature
Lily AI
10Web
Copy.ai
Pricing
Paid
Paid
Paid
Free plan
No
No
No
Free trial
No
No
No
API
Yes
Yes
No
Team support
Yes
Yes
Yes

Frequently asked questions

What problem does Lily AI solve?+

It bridges the gap between how merchants tag products and how shoppers actually search, generating customer-centric attributes and intent data to improve search relevance, discovery, and conversion.

How does Lily AI generate attributes?+

It analyzes product images and data with AI to produce rich, shopper-oriented attributes, then maps them to consumer search language and injects the data across the ecommerce stack.

Is Lily AI enterprise-only?+

Effectively yes. Lily AI is an enterprise platform with custom pricing and integration requirements, best suited to mid-to-large retailers and brands rather than small merchants.

Which categories benefit most?+

Categories with nuanced, attribute-rich products, such as apparel and fashion, tend to benefit most because detailed attribute enrichment strongly influences discovery and conversion.

Does Lily AI help with external channels?+

Yes. Lily AI offers solutions to improve product performance on external channels like Google Search and Shopping through better, richer product data.

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