Case Study - Recruitment platform with profile-to-JD intelligence
Built an AI hiring platform that matches candidate skills against job descriptions and continuously improves with internal profile data.
- Year
- Service
- Recruitment intelligence platform
Overview
A talent operations team needed a smarter intake and matching layer for high-volume hiring across changing role definitions.
We built an AI-driven matching engine that interprets skills, experience signals, and role context to rank candidate fit. The system supports both external applicants and internal talent profiles for current and future openings.
Recruiters get transparent match reasoning and can provide feedback to improve relevance over time.
What we did
- Semantic JD matching
- Profile normalization
- Explainable ranking
- Recruiter feedback loops
Recruiters gained a faster shortlist process while still having full control over final selection decisions.
- Matching strategy
- JD-aware
- Scoring output
- Explainable
- Quality improvement
- Feedback-driven
- Profile sources
- Internal + external