Bloovo.com, an online social recruitment platform in the Middle East, is using its proprietary algorithm to match employees with jobs to generate scientific fit for rapid shortlisting.

Bloovo.com’s research shows that employment mismatch occurs when large volumes of candidates apply for jobs unsuitable for them – resulting in higher overheads and selection frustrations for recruiters and applicants alike.

“Employment mismatch is one of the biggest frustrations for any company trying to hire employees or for any job applicant looking for a job. Employers are frustrated about getting massive irrelevant lists of applicants while job seekers are just applying to any job offering whether relevant or not to their profiles,” said Bloovo.com’s co-founder and CEO, Ahmad Khamis.

Determined to find a solution to a concern that reduces recruitment efficiency and creates chronic unemployment, Bloovo.com turned to ICT and scientific analysis. The platform’s Scientific Matching Percentage feature is the result of innovation combined with rigorous testing and iteration.

Bloovo.com’s proprietary algorithm mines data points from candidate profiles, and matches those with specific data points in job descriptions posted by companies. Every job seeker is then assigned a unique matching percentage for each job posted on the platform. The Scientific Matching Percentage is easily visible to employers for each and every candidate applying for their job post, helping them to shortlist incredibly fast and only focus on high fit candidates.

“The Scientific Matching Percentage not only gives applicants clear feedback as to their suitability for a job but also enables recruiters to get away from the menial and labour-intensive task of sifting through thousands of CVs. Instead, they can focus on what’s really important in effective recruitment – building relationships with the right candidates and focusing on hiring highly suitable talent,” Khamis noted.  – TradeArabia News Service