The adoption of IoT technologies is currently rapidly changing the course of Human Resource Management (HRM), with regards to recruitment and engagement. This empirical research aims to discuss how IoT-based technologies in analyzing real-time and Big Data and developing predictive models contribute to recruitment process improvement, employee performance optimization, and operational costs reduction. Through the identification of IoT use cases in Microsoft, Cisco, and IBM, this study shows how smart workplaces, artificial intelligence in recruitment, and IoT sensors enhance decision making and compliance in the HR domain. The study presents various positive effects on recruitment accuracy, employees’ interaction, and work safety. This paper highlights IoT’s significance in the contemporary HRM, with new avenues for more extensive research to be provided in the reliable predictive workforce management and compliance. The study adds to knowledge about how organizations can leverage IoT to build better and more effective HR systems that adapt to the needs of the workforce..