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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.