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AI use case
Fleet Feet used Humanly AI screening to reduce response time to 6 hours and achieve 98% candidate approval across 280+ retail locations, eliminating manual hiring bottlenecks wi…
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Title
AI Recruitment Automation - Fleet Feet Retail Case Study
Content
Fleet Feet, a specialty running retailer with more than 280 locations across the United States and 1,000-5,000 employees, implemented Humanly AI screening to address slow candidate response times, distributed hiring complexity across hundreds of store locations, and inconsistent candidate experience that impacted their employer brand in a competitive retail labor market. Manual screening and delayed follow-up made it difficult to engage candidates quickly, increasing the risk of losing hourly talent to faster-moving employers. With hiring spread across hundreds of store locations, recruiters and hiring managers struggled to maintain consistency and speed at scale. Humanly provided a conversation-first screening experience designed to help Fleet Feet move faster, engage candidates earlier, and deliver a consistently positive experience across every store. Key features included automated conversational screening where candidates engage through short, guided conversations instead of traditional forms; rapid candidate response with automated outreach and screening reducing average response time to just six hours; consistent experience across locations through standardized workflows ensuring every candidate received the same high-quality, brand-aligned experience; and ATS-integrated automation with seamless iCIMS integration triggering screening and routing candidates automatically. The results were compelling: Fleet Feet achieved an average response time of just 6 hours, 98.35% positive candidate feedback, and 24/7 candidate interviewing capability — all while reducing manual effort for recruiters and store teams. According to Leigh Warren, Sr. Talent Acquisition Manager at Fleet Feet: Humanly has sped up the process and saved time with all of the pieces we were looking for.
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City
Seattle
Company/Organization
Humanly
Continent
North America
Country
United States
Category
Internet Software & Services
Type
Deployment
Id
71a91335-595f-47e5-ab96-3af91ee27c83
Created At
2026-04-03T20:30:46.518516+00:00