Boosting efficiency of
recruitment processes
by using LLM and GenAI
2024-ongoing
3 experts
Enterprise Automation
USA
Summary
Business challenge:
Increase efficiency of candidate selection, internal interviewer discovery, and knowledge management by introducing a skills catalog and automatically extracting texts from unstructured resumes.
Zoolatech approach:
  • Multimodal LLMs: Leveraging multimodal language models (LLMs) for automatic text extraction from resumes using Google Gemini Pro on Vertex AI.
  • GCP implementation: Deployed on Google Cloud Platform (GCP) using Node.js and Google Cloud Functions
  • Integration options: REST protocol for real-time parsing and BigQuery for offline indexing.
  • Knowledge management reports: Utilized Looker Studio for reporting needs.
Value delivered:
  • Cost-efficiency: Running the proposed solution costs less than $0.1 per CV, resulting in significant investment savings.
  • Intelligent candidate selection: Beyond the initial tasks, the solution enhances candidate selection intelligently.
  • Knowledge management: Enables strategic planning and development of the Company's expertise.
  • Document understanding: Enables conversion of resumes into selected templates.
Technologies:
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Business Challenge

Our goal was to improve the efficiency of candidate selection, internal interviewer discovery, and knowledge management. Our team was to build a solution that helps to automate and optimize the following tasks:

  • Selecting candidates according to job requirements
  • Finding internal interviewers to assist with hiring
  • Centralizing knowledge management and planning for the development of company expertise

To achieve these goals, we decided to create a catalog of employees’ and candidates’ skills based on CV information and to integrate it into the company’s ERP system. The challenge was the lack of a standard structure in CVs, making automatic information extraction difficult.

Zoolatech Approach
Multimodal LLMs

We leveraged multimodal language models (LLMs) for automatic text extraction from resumes using Google Gemini Pro on Vertex AI. This approach was found to be cost-effective in terms of development time and maintenance costs. LLMs can “understand” the entire document, structuring not only specified knowledge and skills but also other relevant information.

GCP implementation

The solution was deployed on Google Cloud Platform (GCP) using a serverless approach with Node.js and Google Cloud Functions. This simplified deployment and maintenance. Integration with the ERP system was implemented in two ways:

  • REST Protocol: For real-time parsing (e.g., when a recruiter uploads a new resume or converts a resume into a corporate template).
  • BigQuery: For offline parsing when indexing an existing CV database.
Knowledge management reports

Reports were built using Looker Studio to address knowledge management needs.

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Value Delivered

By implementing this solution, we successfully increased the efficiency of our recruitment processes, saving time and costs while enhancing its ability to find and manage talent.

Boosting cost-efficiency

Running the proposed solution costs less than $0.1 per CV, resulting in significant investment savings compared to other approaches.

Intelligent candidate selection

Beyond the initial tasks, the solution enhances candidate selection intelligently by considering all aspects of the resume and vacancy, not just the specified knowledge. For example, it can account for how recently and for how long a candidate has worked with a required technology, what technology they consider their main expertise, and their current role.

Knowledge management

The solution enables strategic planning and the development of the company’s expertise by effectively organizing search and knowledge management processes.

Automation and time savings

The solution allows for the conversion of resumes into selected templates, significantly saving the hiring manager’s time.

Streamlined processes

This approach helps streamline processes, improve decision-making, and empower the team to focus on finding the right talent and fostering expertise within the organization.

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