Bring AI-powered science to the art of merchandising.

Thin and inconsistent product details start during item set-up, and have cascading effects down the line. Lily AI’s universal language of customer-centered attributes removes extensive manual work and lets AI do the heavy lifting.

How it works

The root cause of product data problems usually starts here, and we’ve got the solution to fix it. Lily AI helps retailers visualize tags with product images. When product attribution is done correctly, it instantly unlocks better site search, filters and facets, product recommendations and demand forecasting.

A universal mathematical language for item set-up.

We enable merchandising teams to work smarter, so they can spend their time on other things. Lily AI powers rapid product onboarding and eliminates days of manual work, while setting merchandisers up with a customer-centered product taxonomy that will drive better decision-making for years.


The Cascading Challenge of Merchant-Driven 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.

Infographic: What is a Customer Intent Platform?

The marriage of product intelligence and customer intelligence is what enables retailers to measure and act upon unique customer intent, and to provide each customer with exactly what they’re looking (...)

The Step-By-Step Guide to Using Enhanced Product Attribution Data

Is your product taxonomy truly helping shoppers to find what they’re looking for? This is the guide to help you find out.
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