Lily AI’s extensive product data enrichment and AI-powered product taxonomy offers online shoppers the same benefits they get in-store with a sales associate. We ensure your customers are being presented with items that truly match their personal style and preferences, giving them all the right reasons to make that second click.
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. Now you can deliver better product recommendations with visually-similar matching and algorithms based on Lily AI’s 15,000+ product attribution taxonomy.
Start matching shoppers to the products they actually want.
Increase your recommendation relevance by presenting a hyper-personalized product set that’s been built by understanding how shoppers really describe the products they’re looking for – as well as the relationships between product attributes.
You can now increase the number of relevant products shown to each customer – and just as important, stop recommending items that don’t match what they truly want.
Read Customer StoryResources
Lily AI Recommendations Increase RPV for Large Multi-Brand Retailer by +0.65%, Leading to Additional $20-30M in Incremental Demand
What is Product Content Enrichment? 3 Things to Know
