Resume Shortlisting With
SyncMaster

About the Client

📍Gurgaon, India

The client is a renowned talent acquisition partner, celebrated across India for its expertise in delivering exceptional talent solutions. 

Catering to businesses ranging from startups to large enterprises, the firm is recognized for its unwavering commitment to quality and integrity. 

Over the years, it has built a strong reputation in the industry, successfully establishing a diverse client base across Dubai, the USA, and India.

*To respect NDA, the name has not been disclosed.

Overview

The said recruitment firm was struggling to streamline its hiring process due to the overwhelming volume of resumes from multiple sources like LinkedIn, Naukri, and their internal mailbox. 

With an average of 300 resumes per week, they sought an intelligent and integrated solution to manage resume shortlisting and scheduling interviews efficiently.

SyncMaster—an AI-powered agent—was implemented to automate their end-to-end hiring workflow, from resume shortlisting to feedback collection, saving time and reducing manual errors.

*SyncMaster AI is a flagship product of Jina Code Systems

Business
Requirements

  • Centralized Resume Management

    The client needed integration of LinkedIn, Naukri, and their internal mailbox into a unified system to handle all incoming resumes.

  • AI-Driven Resume Screening

    An AI agent was required to parse resumes, analyze their compatibility with job descriptions (JDs), and shortlist the most relevant candidates.

  • Automated Interview Scheduling

    The AI agent had to arrange Level 1 phone interviews with shortlisted candidates and manage scheduling conflicts.

  • Feedback Collection for Decision-Making

    The AI agent would document feedback from phone calls and share actionable insights with decision-makers for faster hiring decisions.

Our
Approach

Integration of Platforms

Built APIs to seamlessly integrate LinkedIn, Naukri, and the internal email system into SyncMaster for centralized resume collection.

AI-Powered Resume Screening

Developed a machine learning model to assess resumes against job descriptions, ensuring high-quality shortlisting.

Automated Interview Scheduler

Configured the AI agent to schedule phone calls based on interviewer and candidate availability, sending reminders and updates.

Feedback Analysis & Reporting

Enabled the AI agent to analyze interview feedback and generate concise reports for decision-makers in real time.

Tech
Integrations

Project
Results

  • 75% Reduction in Manual Screening Time

    The integration and AI-driven filtering saved recruiters hours previously spent on manual shortlisting.

  • 60% Improvement in Candidate Fit

    The AI agent ensured higher relevance of shortlisted candidates by aligning resumes with JDs.

  • 50% Faster Interview Scheduling

    Automated scheduling minimized delays and streamlined the recruitment process.

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  • Improved Client Relationships

    The faster and more efficient hiring process enhanced client satisfaction, strengthening trust and long-term partnerships.

  • Cost-Effective Hiring Process

    Automating resume shortlisting and interview scheduling reduced operational costs and improved resource utilization.

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