Lily AI B2B Case Studies & Customer Successes

Lily AI is the product attributes platform that injects the language of the customer across your existing retail stack, accurately connecting your shoppers with the relevant products they’re looking to buy. They drive 8-9 figure revenue uplift for retailers and brands by dramatically improving their on-site search conversion, personalized product discovery and demand forecasting.

Case Studies

Showing 5 Lily AI Customer Success Stories

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Major Global Luxury Retailer Increases Relevant Results for Descriptive Searches by up to 30x, Driving $20M in Incremental Revenue

Lily AI Demand Intelligence Provides Accuracy at Scale, Driving 7-8 digit Revenue Lift for Multi-Brand Apparel and Accessories Retailer

Lily AI Recommendations Increase RPV for Large Multi-Brand Retailer by +0.65%, Leading to Additional $20-30M in Incremental Demand

Large Multi-Brand Retailer Boosts Product Discovery from On-site Search by 8.5%, Projecting to $22M Increase in Revenue Across Brands

Increases Sell-Through by 15% with Enriched Product Data from Lily AI

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