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Development of Agile Recruitment Platform with AI-Driven Matching and Referral Incentives
  1. case
  2. Development of Agile Recruitment Platform with AI-Driven Matching and Referral Incentives

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Development of Agile Recruitment Platform with AI-Driven Matching and Referral Incentives

neoteric.eu
Human Resources
Information technology

Challenges in IT Talent Acquisition and Platform Development

Existing recruitment tools are inefficient at reaching passive IT candidates who avoid traditional recruiters. Companies struggle with limited budgets/time to develop scalable solutions, while also needing to incentivize user referrals and maintain robust candidate qualification workflows.

About the Client

A recruitment technology startup focused on providing end-to-end solutions for IT talent acquisition through innovative matching algorithms and social vetting mechanisms.

Project Goals for Recruitment Platform Development

  • Develop a minimum viable product (MVP) within 10 weeks for market validation
  • Create a scalable recruitment solution with automated candidate matching
  • Implement a referral incentive system to drive user engagement
  • Secure initial venture capital funding through demonstrable results

Core System Functionalities and Features

  • AI-powered candidate-job matching algorithms
  • Social vetting through professional network integration
  • Automated referral bonus tracking system
  • Real-time candidate qualification dashboard
  • User feedback integration for continuous improvement

Technology Stack Requirements

Angular
Java
JavaScript
MongoDB
HTML5

External System Integrations

  • Social media APIs (LinkedIn, GitHub)
  • Payment gateways for referral bonuses
  • Analytics platforms (Google Analytics)
  • HRIS systems integration (Workday, BambooHR)

System Quality Attributes

  • Horizontal scalability for 10,000+ concurrent users
  • Sub-200ms response time for matching algorithms
  • GDPR-compliant data handling
  • 99.9% system availability SLA
  • Cross-browser compatibility (Chrome, Safari, Firefox)

Expected Business Impact and Market Potential

Reduce time-to-hire by 40% through automated matching while decreasing recruitment costs by 30% via referral incentives. Position the platform as a top 100 European startup with potential to disrupt the $400B global recruitment industry, enabling rapid VC funding acquisition and enterprise client adoption (e.g., Amazon, LunchBadger).

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