Our system can identify best-fit candidates for job openings using heuristic approach incorporating machine leaning and predictive analysis, increasing recruiting productivity and efficiency.
ResumeRanking plugs into any resume system or software and continuously updates its understanding of applicants resumes and job requirements.
ResumeRanking's patent-pending machine learning engine accurately sense all information in applicants' resumes heuristically, not just keyword.
ResumeRanking looks at applicant resumes, forming patterns of features or concepts of resumes to match with job openings.
ResumeRanking deeply understands the patterns of applicant career path using all resume data and related HR information. Predicative model constantly learns and updates itself to generate real-time models.
Organize modules as fit for specific hiring needs for different stages of recruiting steps.
Any resume input or change or hiring event update can be scripted into the system.
Real-time updates show impact for interviews and hiring efficiency improvement.
Ranking results can be exported to spreadsheet for further analysis.
More clients now believe in a future where machine learning and automation provides immediate value to their recruiting effort. ResumeRanking system can integrate with any ATS platform or HR software that leverages big data to gain deeper business insight or to automate hiring operations.
ResumeRanking provides a intelligence layer over across different recruiting stages. The machine learning engine autonomously memorizes, analyzes, predicts and organizes.
ResumeRanking can integrate with any resume platform you use, enabling a wide variety of use cases, including resume ranking, recruiting efficiency analysis, and more.