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Retail
Retail Seasonal Hiring Reinvented
Explore how LeoBrain’s AI ATS automated 50% of seasonal hiring, saving 80% of hiring time.
UrbanMart, a leading retail chain, automated 80% of its seasonal hiring, reducing recruitment time by 65% and improving staff retention with LeoBrain’s AI tools.
Industry Type
Recruitment
Location
United State
Number of employee
25-100
Introduction
UrbanMart, a leading retail chain with 200+ stores, struggled with annual holiday hiring chaos. Manual processes failed to handle 5,000+ seasonal applications, causing stockroom delays and lost sales. After a disastrous 2022 season left stores understaffed during peak sales, they turned to LeoHire’s AI recruitment suite to overhaul their hiring, just in time for Black Friday.
Challenges Faced
Holiday Hiring Bottlenecks
HR teams spent 80+ hours weekly manually reviewing 10,000+ applications, causing them to miss qualified night-shift warehouse workers, resulting in 15% unfilled roles during peak December sales.
Sky-High Turnover
60% of seasonal staff quit by New Year’s, often because full-time students were scheduled for morning shifts or warehouse workers were placed as cashiers, costing $500K in rehiring and lost productivity.
Inconsistent Screening
Some store managers prioritized past retail experience while others valued 'friendliness,' creating wild service quality swings, causing a lot of back-and-forth and conflicted feedback.
Approval Delays
Slow approvals delayed offer rollouts, leaving stores understaffed during peak season and losing sales due to long checkout queues.
Assessment Inefficiencies
Delayed role-fit assessments led to mismatched hires, increasing shadowing time and distracting managers from sales and inventory during peak retail periods.
Solutions
AI High-Volume Sorting
Automatically filtered 10,000+ applications in 48 hours, flagging top candidates for night shifts/bilingual roles using keywords and availability matching.
Retention-First Scheduling
AI aligned candidates’ preferred hours/locations with store needs, reducing mismatches and cutting turnover from 60% to 25% post-holidays.
Automated Assessments
With quiz responses automatically assessed by AI, the recruiting team slashed the screening time by 50% and contacted the scoring candidates directly.
Pre-Boarding Automation
Automated preboarding with instant offer letters, real-time acceptance tracking, and digital document uploads, clearing 95% of candidates for approval within hours, not days.
Role-Specific Assessments
LeoHire’s role-specific assessments and AI-generated screening filtered the right candidates, minimizing mismatch, reducing onboarding prep, and saving managers valuable time.
Conclusion
UrbanMart's AI-driven hiring revolution delivered $8.2M in holiday sales uplift by ensuring fully staffed stores during peak demand. With 65% faster recruitment and 45% better retention, they’ve reallocated 500+ HR hours to employee experience initiatives. As retail battles for hourly talent, LeoHire proves that AI isn’t just for tech giants.
LeoHire saved our holiday season. Their AI handled 80% of hiring, we brought on 4,200 seasonal staff in 3 weeks, all pre-matched to store needs. Even better? Stores with AI-hired staff saw 30% fewer customer complaints. Now we’re using this for permanent roles. Our ‘hire-to-productivity’ time dropped from 3 weeks to 4 days.
Lisa Chen
UrbanMart
Retail
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