01 The challenge
Store managers were spending hours per vacancy reading CVs in a legacy applicant-tracking system. Time-to-hire stretched to weeks, and during peak trading the backlog of open roles ran into the hundreds, directly costing sales. Candidate quality was inconsistent and good applicants dropped out while waiting.
02 What we did
- Structured job profiles per role with the criteria that actually predict success in store
- AI screening and ranking of applications against those criteria, with explanations a manager can check and override
- Automated candidate communication and interview scheduling integrated with managers' calendars
- Bias monitoring and audit trail on every recommendation
- Integration with the existing ATS and HR system so offers and onboarding continue unchanged
03 The results
- Time-to-hire cut from weeks to under a fortnight
- Hours per vacancy spent on CV review reduced to a fraction
- Higher-quality shortlists as rated by hiring managers
- Peak-season vacancy backlog eliminated; cost per hire down