Talent Hiring Management Solution for a Leading Services Company
About the Customer
The customer is an up-and-coming IT services company, whose Talent Acquisition Team faced challenges in efficiently analyzing key information from resumes to streamline recruitment, reduce manual effort, and improve candidate matching accuracy from the vast volume and variety of resumes.
The Challenges
- High Volume & Complexity of Resumes: Much time goes into manual screening of resumes to meet the growing demand for candidates for multiple roles.
- Accurate Skill Matching: Manual prescreening lacks accuracy, as variety of skills need to be matched with a large volume of resumes
- Eliminating Human Bias & Errors: To reduce unconscious bias and human errors in resume screening, leading to fairer and more consistent hiring decisions
- Handling Diverse Resume Formats & Structures: Process resumes from various formats (PDF, Word, LinkedIn profiles, etc.), standardizing data for easy comparison.
- Faster & Data-Driven Shortlisting: Screening was delayed due to a lack of data that enabled quick and informed decision-making.
Our Solution
AInnov™ Talent Management acts as a Unified AI Platform for Talent Discovery and Evaluation solutions, handling large volumes of resumes for scalable recruitment. Below are some of the key highlights.
- Skills Extraction: Extraction of keywords (skills) from the JD and allowing the recruiter to select the required skills and assign a priority
- Skill Matching: Large Language Models (LLM) matched the skills with the provided resume and generated a match score for easy decision-making.
- Multiple File and Template Support: The solution supports all file formats and is not bound to any fixed CV or Job Description template.
- Minimal Human Intervention: The solution enabled automatic skill matching from the JD with the resume, with the Talent Acquisition team only needing to select the proper set of skills and define the correct priority for the skills.
- High Volume Support: The solution can process a large volume of CVs and help select candidates matching the required skills from a considerable pool of CVs.
The Outcomes
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Instant matching of multiple CVs to a JD - streamlining the candidate shortlisting process
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Reduction in manual effort required for candidate screening through AI-enabled automation
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