Deliver personalized shopping experiences in less than 5 clicks.

Lily AI helps retailers personalize the shopping experience in fewer clicks, and deliver robust product recommendations that convert.


How it works

Lily AI uses its extensive product data to train its AI models, which means we know more about what shoppers are actually browsing and buying – and why. We generate unique shopper profiles that show each shopper’s affinity toward different styles, colors, fits and fabrics.  Now you can deliver better product recommendations with visually-similar matching and algorithms based on Lily AI’s 15,000+ product attribution taxonomy.

The Lily AI Shopper Affinity Profile

Real-time predictive analytics that allow retailers to start personalizing within seconds.

Allison searches
Leather handbags
Search Terms
Less affinity for cloth handbags
View PDP
Affinity for the color green
Filter out Clutches
Less affinity for clutches
Add to Cart
Affinity for cross-body styles
Allison's Recommendations

80% of consumers are more likely to make a purchase when brands offer personalized experiences (Epsilon Research)

Start matching shoppers to the products they actually want.

Lily AI doesn’t need extensive personalized data to start matching. Our AI models can be customized to optimize for revenue, conversion or any other metric that fits a retailer’s business needs.


How to Connect Shoppers to What They Want and Need with Intent-Driven Personalization

Personalization is more than just the “flavor of the month,” but it’s not always easy to get right. Learn how to connect consumers to what they want and need with a more personalized shopping experience.

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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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 for in real time.
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