Local Retailer Scales Branch Hiring with AI Recruiting Tools

Manual resume screening caused mismatches, resulting in hires that didn’t meet performance expectations or cultural alignment across retail roles.

A lean HR team couldn’t handle application volumes efficiently, especially across multiple retail branches with unique staffing needs.

Each store managed hiring in isolation, leading to duplicated efforts, slower decisions, and fragmented recruitment visibility for corporate teams.

All candidates were assessed uniformly, without customizing questions or scoring for roles like cashiers, floor staff, or stock handlers.

During holiday peaks, high attrition demanded faster shortlisting without compromising candidate quality, straining internal recruitment processes.

AI-personalized assessment models based on job relevance, aligning candidates with roles such as cashier, floor staff, and inventory handlers.

HR teams managed hiring across all branches from one centralized dashboard, improving speed and reducing store-level silos.

LeoHire’s AI instantly filtered applicants based on qualifications, availability, and store requirements—freeing HR to focus on final interviews.

Managers across branches scheduled interviews in one click with automatic time slot suggestions—eliminating email coordination delays.

LeoBrain's recruiting software provided real-time dashboards showing store-wise hiring progress, source efficiency, and stage-wise drop-offs for strategic recruitment decisions.