Think Like Your Customer.

Lily AI enhances shopping experiences by injecting consumer-centric language throughout the retail ecosystem, maximizing technology investments to deliver upwards of 9-figure revenue lift.

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Trusted by global brands and industry leaders

ALC logo
Bloomingdales logo.Macy's Logo in gray.
J.Crew logo.Madewell logo
Joor logo.
Photo of a smiling woman sitting on her couch and watching a video on her tablet.

Lily AI connects your customers with the relevant products they’re looking for.

Boost product discovery and conversion with the first vertical AI platform purpose-built for retail.

Lily AI turns qualitative product attributes into a universal, customer-centered mathematical language with unprecedented accuracy, resulting in a depth and scale of attribution that no other solution can match.

Learn more about Product Intelligence
Mid-century modern accent chair attributed in a neutral colored home.
Product type
Accent Chair
Detail
Upholstered
Color
Gray
Wood Tone
Dark wood
Arm style
Flared arm
Color family
Neutrals light
Home style
Mid-century modern

Increase traffic, conversion, revenue, and brand loyalty by using the same words your customers use.

Fuel your Google Search and existing e-commerce platform, search engine, PIM, and recommendation tools with the deepest and most accurate product attribution data in retail – over 20,000 attributes and counting.

Read Customer Stories
Woman in a Lily AI attributed sweater sitting on a couch in her home.
Neck style
Jewel neck, high-neck
Details
Pointelle embellishment
Fabric
Ribbed
Style
Sweater
Colors
Light pink, solid
Dressing style
Minimalist

What Lily AI customers say.

“As a multi-category, multi-branded department store, and with on-site search driving a large percentage of our total demand, ensuring that Bloomingdale’s provides the most relevant results to our customers is extremely important to us. How we return results to customers really resonates with them. Thankfully Lily AI’s platform solves for something extremely difficult to solve for, driving pinpoint results for the many long-tail queries that comprise more than 50% of our e-commerce searches. Lily’s rich and detailed product attribution helps ensure that Bloomingdale’s customers find what they’re looking for, every time.”

James Kim
VP of E-commerce
Bloomingdales Logo.
Image of James Kim from Bloomingdale's.

“It all needs to start with the customer. The context of what they are trying to accomplish — their progress in refreshing their closet or finding a specific piece for an event — does not come from segmentation alone. Lily AI’s platform understands what our customer is trying to do and offers the right recommendations to them.”

Chris Homer
Co-Founder and COO
ThredUp Logo.
Read Customer Story
Image of Chris Homer from ThredUp.

“As the world’s leading wholesale management platform, we are constantly looking to enhance the value we provide to our brands and retailers from end-to-end. With Lily AI’s extensive image attribution and mapping capabilities, retailers can avoid tedious manual inputs and seamlessly upload more optimized product descriptions to their site.”

Kristin Savilia
CEO
Joor logo.
Image of Kristin Savilia, CEO at JOOR.
20k+
Product Attributes
1M+
Training Products Manually Labeled
3B+
Training Data Points Collected

No need to rip & replace anything. Lily AI sends robust product and consumer data to all destination systems in the commerce ecosystem.

Lily AI’s secure, cloud-agnostic solution is deployed on all leading cloud platforms.

Azure logo.
Amazon Web Services logo.
Google Cloud partner logo.

Security embedded at every level of our organization and product development.

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Resources

AI enhances omnichannel shopping experiences

3 Research-Backed Ways AI Enhances Omnichannel Shopping

For retailers to win over savvy consumers in 2024, shopping must be personalized and seamless, harmonizing online and offline experiences. Here are 3 research-baked ways AI delivers on those rising expectations.
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How Vertical AI Transforms the Retail Value Chain

Vertical AI purpose-built for retail is revolutionizing every aspect of the retail value chain. Learn how this technology is delivering immediate and practical, not theoretical, impact.
Read
Capitalizing on M-Commerce with AI

Capitalizing on the Mobile Shopping Experience with AI

The world of retail has undergone a dramatic transformation over the past decade, with mobile devices playing an increasingly significant role in shaping consumers’ shopping habits. 
Read