It's time to make site searches
convert.

Add exceptional depth and the language consumers use to your product catalog, and make it easier for your shoppers to find what they’re looking for.

How it works

Lily AI is the only platform that combines deep product attribute data & customer intent in the ecommerce stack at scale. By matching deep tagging of products (with 15,000+ attributes) with deep profiling of consumer motivations, Lily AI can help present every unique consumer with exactly what they’re looking for in real time.

On-site searches now show customers the results they’re truly expecting, along with targeted recommendations to help boost order sizes.

Stop the endless site-search scroll.

It’s no longer acceptable to return 10-plus pages of results that drop off dramatically in relevance after the first click. Customers are looking for focused, relevant suggestions that evolve their previous search history and resonate with their current context. By using granular product data and enabling long-tail semantic searches and predictive autocomplete, retailers can guide users directly to the items they really want.

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

Learn more about Product Intelligence

Resources

How Bloomingdale’s Makes Site Search Convert With Enriched Product Data

Learn how Bloomingdale’s leverages enriched product data from Lily AI to drive an enhanced search experience.
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How to Capitalize on Shoppers’ Search Diversity

Different shoppers search uniquely, making it essential for retail ecommerce brands to build the right product taxonomy to capture both common and long-tail searches.
Read

High-Intent Shoppers Deserve Intent-Enabled Search

How can retailers ensure a consistent, seamless, and intent-enabled search experience? By addressing thin and inconsistent product details – and ensuring that high-intent shoppers find what they’re looking for.
Read
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