Automated Resume Parsing and AI Skills Matching Workflow

Automated Resume Parsing and Skills Matching

1. Resume Submission

1.1 Candidate Upload

Candidates submit their resumes through the company’s career portal or email.

1.2 Initial Acknowledgment

Automated email response confirming receipt of the application.

2. Resume Parsing

2.1 AI-Driven Parsing Tool

Utilize AI-powered tools such as HireAbility or Textkernel to extract relevant data from resumes.

2.2 Data Extraction

Extract key information including candidate name, contact details, work experience, education, and skills.

2.3 Data Structuring

Convert extracted data into a structured format compatible with the HR database.

3. Skills Matching

3.1 Job Description Analysis

AI tools like Jobscan or SkillSurvey analyze job descriptions to identify required skills and qualifications.

3.2 Skills Comparison

Match parsed resume data against the job description to identify alignment in skills and experience.

3.3 Scoring Mechanism

Implement a scoring system to rank candidates based on skills match percentage.

4. Candidate Shortlisting

4.1 Automated Shortlisting

Use AI algorithms to automatically shortlist candidates who meet or exceed the predefined threshold.

4.2 Review by HR Team

HR team reviews the shortlisted candidates for further evaluation.

5. Interview Scheduling

5.1 Automated Scheduling Tools

Utilize tools like Calendly or Interview Schedule to automate interview scheduling with candidates.

5.2 Confirmation Notifications

Send automated confirmation emails to candidates regarding their interview schedules.

6. Feedback and Continuous Improvement

6.1 Candidate Feedback Collection

Gather feedback from candidates regarding the application process using tools like SurveyMonkey.

6.2 Process Optimization

Analyze feedback and performance metrics to continuously improve the resume parsing and skills matching workflow.