Development of a CRM System for Automating and Improving the Efficiency of Recruitment

This study presents the concept and on-going development of a tailor-made Customer Relationship Management (CRM) system for automating and optimizing recruitment processes in HR offices. Traditional recruitment processes often involve manual candidate tracing, intermittent communication, and disconnected workflows. This study proposes a web-based CRM application developed using Django (backend), PostgreSQL (database), and React.js (frontend), tailored to streamline job posting, candidate tracing, and intra-employee HR coordination. The system is being developed under Agile methodology with iterative HR professional input. Preliminary testing scenarios within the HR team environment show a probable 30% reduction in administrative time and significant improvement in task tracking and transparency. Since the system is being developed, full-scale deployment and evaluation will be done in future project phases. This approach vindicates the proposition that a CRM system developed locally has the ability to significantly optimize recruitment efficiency, particularly for businesses that have unique compliance requirements and data localization policies. Future extensions may include candidate matching using artificial intelligence and predictive analysis for recruitment.