Leverages on NLP and AI/ML to score and rank candidates based on the candidate-job fit.
Benchmark scoring on the stability index is built on a supervised ML model to predict the likelihood of the candidate staying on the new job for more than 12 months.
Benchmark scoring on performance predictor is built on a supervised ML model to predict the likelihood of the candidate having faster progression (promoted faster) compared to similar peers.