The distributed workforce model, accelerated by globalization and the COVID-19 pandemic, offers reduced costs and higher employee satisfaction but poses complex management challenges. This paper proposes a novel, data-driven Decision Support System (DSS) for mobile workforce management in industrial IoT environments. Integrating mobile technology, cloud computing, and real-time sensor data, our solution ensures secure data transmission, efficient processing, and an intuitive mobile interface. Experimental results show a 35% reduction in response time to operational changes, a 40% boost in resource allocation efficiency, and a 90% user satisfaction rating. These findings underscore the system’s capacity to address distributed workforce complexities while providing a scalable, secure, and user-friendly platform for rapid decision-making. Our research establishes a framework for adaptable workforce management systems suited to diverse industrial requirements.