Now it’s time to connect your customers with what they’re really looking for.

From search to recommendations to demand forecasting, Lily AI injects the language of the customer across your existing retail stack.

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Trusted by global retailers, brands and industry leaders

Lily AI accurately connects your shoppers with the relevant products they’re looking to buy.

Boost product discovery and conversion at scale with the deepest image recognition platform for retail.

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

Learn more about Product Intelligence
Product type
Accent Chair
Wood Tone
Dark wood
Arm style
Flared arm
Color family
Neutrals light
Home style
Mid-century modern

Increase revenue and on-site conversion by using the same product attributes your shoppers use.

Fuel your existing search engine, your PIM and your demand forecasting tools with the deepest and most accurate product attribution data in retail – over 15,000 attributes and counting.

Read Customer Stories
Neck style
Jewel neck, high-neck
Pointelle embellishment
Light pink, solid
Dressing style

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

“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
Read Customer Story

“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
Product Attributes
Training Products Manually Labeled
Training Data Points Collected

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

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

Amazon Web Services
Google Cloud partner

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


Major Global Luxury Retailer Increases Relevant Results for Descriptive Searches by up to 30x, Driving $20M in Incremental Revenue

A major global luxury retailer had been struggling with its conversion from online search, and turned to Lily AI and its rich product data enrichment for help.

The Power of Actionable Search Insights at Your Fingertips

Having truly actionable retail search analytics is a secret weapon that allows for rapid decision-making and action based on relevant search data. Learn how Lily AI’s Search Analytics Dashboard empowers retailers to fill the gaps in their existing search engine.

The Cascading Challenge of Legacy, Out-of-the-Box Product Attributes

Without a product taxonomy that describes products in the language that shoppers actually use, retailers start a cascading series of problems right at item set-up.

It’s Not Product Attribution Data OR Search – It’s Both

Even the most powerful retail e-commerce site search provider is only as powerful as the data that is fed into it. Here’s the case for “both” as opposed to “either/or”.