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Product attribution and discovery AI for retailers and brands
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.
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.
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.
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.
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.
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.
Merchandisers, search/discovery teams, and data teams using enriched attributes.
Heads of ecommerce, digital, and merchandising at retailers and brands.
Search platform owners, data science teams, and analysts.
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.
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.
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.
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.
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.
Categories with nuanced, attribute-rich products, such as apparel and fashion, tend to benefit most because detailed attribute enrichment strongly influences discovery and conversion.
Yes. Lily AI offers solutions to improve product performance on external channels like Google Search and Shopping through better, richer product data.
Side-by-side pages for pricing, features, and best-fit use cases.
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