Challenges with Manual Pre-employment screening
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Creates opportunities for human failure, such as biases, carelessness, etc.
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Screening high volume of resumes becomes lengthy and tiresome, overlook key qualifications when scanning resumes due to a high volume and a deadline to hire
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Recruiter spend time in screening resumes which turn out to be uniquified profiles
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Extracting critical information such as experience, skills, education, contact details, location is time consuming
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Deciding if the profile matches with JD is always tricky and challenging
Feature
AI
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Build with more than 5 NLP models to achieve the best result
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Model trained with huge datasets.
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Screen resume like a domain expert
Large Volume
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Capable to screen huge volume within short time
Report
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Robust program to extract relevant information from unstructured data
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Generate automated report with important such as Name, email ID, Phone number, Skills, Experience, location, Score, etc. of the candidate
Decision Making
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Accuracy in decision making, rank candidates based on your hiring pattern and provide shortlisted results
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Reduce Unconscious Bias
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Only the best-suited candidates reach recruiters
Web Access/ API
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Mazo Beam AI resume screening is available to access with web and API
