Get your shoppers from search to sold.

Add exceptional depth, accuracy, and the words consumers actually use to your product catalog, making it easier to connect your customers with what they’re looking for.

Woman on laptop using site search to shop for retail products.

How it works

Brands and retailers who merely take in the generic product attributes provided to them by manufacturers and distributors – and stop there – aren’t able to push the language that customers actually use in their searches to their on-site search engine, then wonder why conversion is still stuck at an anemic 2% or worse.

Lily AI works with some of the world’s biggest brands and retailers to provide search engine-agnostic, plug-and-play product attribution data that feeds every step in the retail value chain. We help them return the sort of accurate and relevant results expected by their shoppers – even on some of the longest of long-tail searches. This dramatically increases engagement, conversion, and ARPV.

Read Customer Stories

Woman searching for products on a retailer's website on her laptop.

Stop the endless site-search scroll.

It’s not acceptable to return 10-plus pages of results that drop off dramatically in relevance after the first click. Shoppers want focused, relevant results that match their shopping intent – and they’ll leave your site if they don’t get it.

By using granular, customer-centered product attribution data and enabling long-tail semantic searches, retailers can easily guide users directly to the items they really want.

It’s not just about finding the product. Sites that support semantic searches (which require enhanced product data) see their cart abandonment rates drop down to as low as 2%.

Learn more about Product Attribution

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 J.Crew Uses AI To Delight Customers and Power Sales Growth

In this discussion recorded at CommerceNext 2023, J.Crew’s Chief Technology Officer, Danielle Schmelkin, spoke with Lily AI Co-Founder and CEO, Purva Gupta, about the practical applications of AI that the J.Crew team uses to transform e-commerce, merchandising, and marketing.
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product attributes: the ultimate guide

The Ultimate Guide to Integrating Product Attributes, From Google Search to PIM

Explore various ways customer-centric product attributes can be applied across the retail value chain to drive immediate and long-term impact. From takeoff to landing, this is your guide on the full process, no matter how you choose to implement. 
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