Case Study: Ashley HomeStore achieves 28% revenue increase with Unbxd Site Search

Ashley HomeStore Experiences a 28% Revenue Increase with Unbxd Site Search

Ashley HomeStore, America’s largest furniture retailer, was seeing strong in-store sales but declining online performance: high site search usage paired with long load times, irrelevant or empty results, and high search exit and bounce rates. To address this, Ashley HomeStore partnered with Unbxd and implemented Unbxd’s self-learning site search solution.

Unbxd used machine learning and NLP to structure Ashley’s free-text product catalog, surface intent-driven, typo- and synonym-tolerant results, and add features like Visual Autosuggest and geographic segmentation. The Unbxd site search improved relevance and conversion, driving a 28% increase in site search revenue and shortening shoppers’ path to purchase.

Ashley HomeStore

Jeff Melton

Director of eCommerce