Our goal is to help recruiters browse through hundreds of resumes with minimal effort, standardize & automate candidate data collection, and help select the candidates who best fit any job at hand. This is being done using state of the art data science technologies such as natural language processing for chatbots, self learning algorithms for candidate evaluation and intelligent text parsing modules for data extraction from unstructured information.
There is an existing challenge in accurately judging whether a particular candidate is the best fit for the job and the company culture. Using iPredictt's data science stack for Natural language processing and self learning algorithms, we generate an Employability score that assists recruiters to separate quality hires from the rest.
Offer decline is a problem faced by every recruiting team. As high as 35% drop rate is experienced by some corporates. Using shortlisting criteria and a specialised predictive algorithm, we enable a recruiter to forecast the chance of candidates declining or withdrawing from the given offer. This helps recruiters cut down on time and effort
Brief explanation about Cognitive Recruiter simplifying recruitment process.