Lily AI is a pioneering, AI-powered platform purpose-built for fashion, retail, and ecommerce businesses. Unlike traditional catalog tools that rely on basic descriptors like size or color, Lily AI uses machine learning, natural language processing, and a proprietary taxonomy to convert products into richly attributed, customer-facing language. This allows retailers to align product discovery with how shoppers naturally search, think, and feel—boosting conversion, impressions, and personalization across every digital touchpoint.
What Is Lily AI Used For?
Top fashion retailers use Lily AI to:
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Enrich Product Content: Lily AI assigns over 25,000 emotionally intelligent and visually rich attributes to products—translating technical catalog data into shopper-consumable language that reflects how people actually describe what they’re looking for (source).
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Improve Product Discovery: With better, more human descriptors powering site search and recommendations, retailers see significant gains in product visibility and search-to-cart conversions (source).
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Boost Marketing Performance: By feeding enriched product data into paid media and SEO efforts, Lily AI helps retailers capture high-intent, long-tail, and non-branded traffic that most of their competitors miss (source).
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Streamline Catalog Syndication: Lily AI creates a unified, attribute-rich product language for all selling channels—from websites and mobile to marketplaces and email marketing (source).
Who Is Lily AI For?
Lily AI is designed for:
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Fashion and Apparel Retailers: Brands like Bloomingdale’s, Tapestry (Coach), and ThredUP use Lily AI to increase online conversions and personalize shopping at scale (source).
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Ecommerce and DTC Merchants: For digitally-native or omnichannel retailers, Lily AI optimizes onsite discovery, recommendation systems, and paid acquisition strategies (source).
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Beauty, Home, and Lifestyle Retailers: The platform also supports non-apparel verticals by tailoring its AI models for products in home decor, skincare, and accessories (source).
Case Study Highlights: Real-World Results
Retailers have reported transformational results from adopting Lily AI:
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Coach (Tapestry): After Lily AI enriched the Tabby Shoulder Bag with attributes like “versatile day-to-night” and “statement clasp,” the product saw dramatic increases in search visibility, discoverability, and conversions (source).
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Luxury Brand A.L.C.: With Lily AI enhancements, A.L.C. experienced a 129% increase in net sales. Non-branded impressions grew by 88%, illustrating how attribute enrichment helps expand reach beyond brand-aware users (source).
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ThredUP: By integrating Lily AI, ThredUP saw a 25% increase in click-through rates and a 5% boost in order conversions—adding real business value within weeks (source).
Across its clients, Lily AI has delivered:
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5–9% uplift in conversion rates
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Double-digit increases in impressions
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6–10% boosts in ad efficiency
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Tens of millions in projected revenue uplift (source)
The Origin Story: Founders & Company Vision
Lily AI was founded in 2015 in Mountain View, California, by Purva Gupta and Sowmiya Chocka Narayanan, two women with complementary strengths in human behavior and technology. The idea was born when Gupta moved to the U.S. and struggled to shop online—noting that ecommerce sites failed to account for how people emotionally connect with products or describe themselves.
After interviewing hundreds of women about how emotion, body image, and occasion influence their shopping behavior, Gupta and Narayanan realized that ecommerce was missing a critical layer of human context. They launched Lily AI with the mission of converting the “language of the customer” into structured data that could drive better personalization and revenue performance.
Since launch, Lily AI has grown to over 100 employees, raised more than $70 million in venture capital, and is recognized as a leader in retail AI innovation. Gupta has been named an Inc. Female Founder 100 and was recently a finalist for Ernst & Young’s Entrepreneur of the Year award.
Why Lily AI Matters in Fashion Tech
Lily AI brings context, emotion, and psychological nuance to retail product data—solving a problem at the heart of the modern ecommerce experience:
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It bridges “brand speak” and “shopper speak” through a proprietary attribute taxonomy built for retail.
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It enables retailers to own the full funnel—from intent-rich discovery and SEO to personalization and retention.
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It delivers massive business impact—with consistent performance gains across verticals.
Final Thoughts for Fashion Tech Leaders
If search relevance, product discovery, and personalization are central to your ecommerce strategy, Lily AI provides the tech foundation to compete and win in an intent-driven market. With a proven track record of driving both customer satisfaction and revenue growth, Lily AI is not just a nice-to-have—it’s a vital layer of intelligence for the future of retail.
Explore more at lily.ai.
