Optimization of mass recruitment with Proceset
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Mass Recruitment Optimization

Discover how Proceset reduced labor costs for candidate application
work by 16,000 hours per year.
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In search for hidden potential

Proceset's Task Mining technology has enabled the digitization of the candidate CV handling process on job search websites – a part of the mass recruitment process, that was unexplored. By enriching event logs with data from Proceset's Task Mining Client, the company gained deeper insights into the process.


  • Identify the most frequent and labor-intensive operations of the process
  • Gain a comprehensive perspective of the candidate selection process, from initial search to employment
  • Determine the actual number of candidate views on job search websites
  • Find the ways to optimize the process


Data collection

  • Installing Proceset Task Mining Clients to track employee activity
  • Gathering data from HR underlying systems


  • Digitized candidate search performed by HR specialists
  • Analyzed the candidate search in detail
  • Detected operations with a considerable potential for automation and RPA
  • Discovered the ways for process optimization
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Customer stories

Analysis of Personal Loan Origination Process

Analysis of Personal Loan Origination Process

Acceleration of Customer Onboarding

Acceleration of Customer Onboarding

Optimization of Operations with Individuals

Optimization of Operations with Individuals

Overall optimization potential

12,673 hours
Automation of job applications transfer from job search websites to HR systems
1,859 hours
Elimination of manual job application transfer
1,741 hours
Cutting down on repetitive tasks on job search websites
16,273 hours per year
Full Economic Impact of Optimization
All objectives were successfully met. Enriching the Process Mining logs with data from Proceset Task Mining Clients offered priceless insights into the mass recruitment process.
Stepan Sharipov
Head of the Process Discovery department at MTS

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