CVViZ mimics a domain expert to screen a resume. It goes beyond traditional approach of keyword or binary search and understands a resume contextually. It helps recruiters in identifying most suitable candidates for the job.
Keywords could be misleading. When you depend heavily on keyword searches you may end up finding resumes that are completely irrelevant for the job.
For Example, you are looking for a company secretary and you end up getting a resume of a personal secretary. You could be looking for Oracle developer but may end up finding a Java developer. This happens because of common keywords among roles. Such examples are very common. AI helps you in addressing such challenges effectively.
You may have an ATS with great search capabilities.However, search is never enough. Resume screening is the key.
What if you are searching for Data scientist or Financial Analyst or UI Developer and end up finding 500 resumes. How would you know which are the RIGHT candidates. Would you actually go about screening 500 resumes? Applicant tracking system may only help you in storing and in searching resumes.You need better solution that helps you in screening resumes in matter of few seconds.
CVViZ after screening, it ranks candidates in real time. This ranking is relative . Meaning, matching and resume ranking is based on the kind of requirement organisation has, the kind of candidates organisation engages, kind of work candidates has done, etc.
When same candidate applies for a different job in a different company for the same profile, he or she may be rated differently.