Lily AI’s extensive product data enrichment and AI-powered product taxonomy helps bring online shoppers product recommendations that meet the moment. We ensure your customers are being presented with items that truly match the attributes that make up 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 attribute taxonomy.
Start matching shoppers to the products they actually want.
Increase your recommendation relevance by presenting a 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.
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Supercharge social UGC with AI-powered recommendations
Now your users can upload a picture, and see all of the products in the catalog that closely match what’s in the photo. This drives highly-relevant recommendations for users, and makes user-generated images instantly shoppable, moving beyond text-based keyword searches and connecting with a customer’s eyes, not their fingers.
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The Practical Guide to E-Commerce Product Recommendations
Lily AI Recommendations Increase RPV for Large Multi-Brand Retailer by +0.65%, Leading to Additional $20-30M in Incremental Demand
