In 2021, a large, multi-brand speciality retailer had been encountering multiple challenges in ensuring that their extensive catalog of clothing and apparel was being discovered by shoppers on their online properties – most specifically via on-site search.
The retailer turned to Lily AI and its product data enrichment platform for help.
Given its challenges, the retailer saw a need for better product data as a huge value unlock for on-site search, one that might lead to an increase in the number of relevant products shown to a customer, thereby improving discoverability and ultimately demand for that product.
A subset of CC’s were provided to Lily AI to add product attribute tagging to, with a control vs. product that was not tagged using Lily AI. The primary KPI this retailer sought to measure was demand and how it was impacted based on product views, product discoverability and search intent.
The retailer was looking to improve their core customer journey with deep and consistent product attribution, from Lily AI, and to show an 8-digit lift in topline revenue. The approach needed to be a low lift integration and implementation on the brands side as well, which Lily AI was able to provide.
Lily AI’s output for this search test was then deployed into Bloomreach for full implementation.