Case Study: a large multi-brand retailer boosts product discoverability with Lily AI

A Lily AI Case Study

Preview of the Large Multi-Brand Retailer Case Study

Large Multi-Brand Retailer boosts discoverability 8.5% with Lily AI

A large multi-brand specialty retailer faced challenges ensuring its extensive clothing catalog was discoverable through on-site search. To address this, the retailer turned to vendor Lily AI and its product data enrichment platform to improve product attribution and unlock value.

Lily AI implemented its solution, which included enriching product attributes, leading to a 33% increase in assigned attributes. This resulted in an 8.5% lift in on-site discoverability and a 3.3% increase in search-driven demand. For the retailer, Lily AI's solution projected a $22 million revenue increase across all brands.


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