Highlights
Improved role-fit across multiple store locations
Hired 30+ retail staff within seasonal deadlines
Streamlined branch-level hiring through one AI dashboard
Quick Overview
Client
UrbanStyle
Industry
Retail
Country
United States
Project Size
Multi-branch hiring automation project
Duration
3 months
Team Size
6-member HR team
Hiring Challenges
Client’s manual hiring practices made branch-level recruitment inefficient & slow:
- Talent quality impacted with manual resume reviews
- Limited HR bandwidth caused seasonal backlog
- No centralized dashboard for branch-level coordination
- Lack of standardized scoring led to poor role alignment
The Solutions We Provided
LeoBrain’s AI recruiting tools revamped client’s hiring process by:
- Introducing AI-based scoring models for role relevance
- Integrating all branches under one hiring dashboard
- Automating resume parsing & shortlisting for faster decisions
- Enabling one-click interview scheduling with synced calendars
The Impact
The smart hiring assistant redefined UrbanStyle’s recruitment efficiency, driving faster scaling:
- Accelerated hiring across multiple locations
- Enhanced job-role accuracy, reducing early attrition
- Empowered a small HR team to manage large-scale recruitment
- Improved branch performance during peak seasons
| 30+ | hires completed within 4 weeks |
| 70% | faster shortlisting time across stores |
| 40% | lower attrition during post-hiring phase |
| 100% | centralized visibility across all branches |
Conclusion
UrbanStyle’s success showcases how AI recruiting tools can redefine hiring agility for retail businesses. By integrating LeoBrain’s AI-powered platform, they achieved faster, smarter, and role-accurate hiring—setting a new standard for workforce scalability in retail.
The Real Hiring Impact
For UrbanStyle, AI recruiting tools brought clarity, speed & structure across multiple branches.
- Morgan Blake, UrbanStyle
