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Development of an Advanced Recruitment Matchmaking and Referral Platform
  1. case
  2. Development of an Advanced Recruitment Matchmaking and Referral Platform

Development of an Advanced Recruitment Matchmaking and Referral Platform

mainsoft.org
Human Resources

Client Needs for an Enhanced Recruitment and Referral System

The client requires a powerful recruitment application that connects jobseekers with an extensive database of vacancies, improves matching precision, and facilitates third-party referrals through multiple communication channels, thereby increasing hiring efficiency and expanding service offerings.

About the Client

A large HR solutions provider seeking an integrated platform to streamline job matching, referrals, and recruitment analytics.

Goals for Implementing an Advanced Recruitment Platform

  • Create a robust aggregator that consolidates vacancy data from various sources to broaden the client’s recruitment offerings.
  • Implement an intelligent matching system that presents relevant job opportunities based on candidate skills, experience, and interests.
  • Enable third-party referral mechanisms via messaging, email, and other channels, including secure reward payment processing.
  • Provide advanced search and filtering capabilities for precise vacancy listing.
  • Incorporate data analytics, segmentation, and reporting features for improved decision-making and prediction of hiring trends.

Core Functionalities for the Recruitment and Referral Platform

  • Aggregation of data from multiple job portals and applications.
  • Vacancy recommendation engine driven by user profiles and preferences.
  • Multi-channel referral submission via messaging, email, and alternative communication tools.
  • Fine-grained vacancy search with advanced filters based on skills, experience, and interests.
  • Lists of matching job opportunities tailored to individual candidate profiles.
  • Data analytics dashboard providing segmentation, predictive insights, and reporting.
  • Secure payment system for rewarding successful third-party referrals.

Technology Stack and Architectural Preferences

Modern mobile development frameworks (e.g., Android Support Library, RxJava, Retrofit).
Data persistence solutions (e.g., greenDAO).
Image loading libraries (e.g., Glide).
Crash reporting tools (e.g., Crashlytics).

External System and Service Integrations

  • Multiple job portals and external job listing APIs for data aggregation.
  • Messaging and email channels for referral submissions.
  • Secure payment gateways for reward transactions.
  • Analytics and reporting tools for data segmentation and insights.

Non-Functional Requirements for Robustness and Performance

  • High scalability to handle increasing data sources and user volume.
  • Responsive performance with quick search and load times.
  • Secure handling of personal data and reward transactions.
  • Reliable and stable operation with crash monitoring and reporting.

Anticipated Business Benefits of the Recruitment Platform

The platform is expected to expand the client’s service portfolio, increase recruitment efficiency, and broaden customer engagement. Similar initiatives demonstrated improvements in offering range, leading to business growth and market position strengthening, by extending services for online vacancy aggregation, quality candidate-job matching, and referral rewards management.

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