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.
Leather handbags
Less affinity for cloth handbags 
Affinity for the color green 
Less affinity for clutches 
Affinity for cross-body styles 
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.
Resources
The Step-By-Step Guide to Using Enhanced Product Attribution Data
Infographic: What is a Customer Intent Platform?
