SERVICE MANAGEMENT SYSTEM: LOGISTIC 2 (ASSET MANAGEMENT, PROCUREMENT, WAREHOUSING, PROJECT MANAGEMENT, DOCUMENT TRACKING) A FRAMEWORK FOR REAL TIME DATA DRIVEN DECISION MAKING

Abstract

Efficient service management is essential for ensuring smooth organizational operations, particularly in key areas such as asset management, procurement, warehousing, project oversight, and document tracking. This study presents Logistic 2, a Service Management System developed to centralize and streamline a wide range of service-related processes within an organization. Designed specifically for the R-911 Security Force, the system aims to reduce manual workloads, enhance response times, and enable real-time, data-driven decision-making. By providing a comprehensive and automated platform, Logistic 2 improves the management of service requests and supports operational efficiency across departments. The development of the Service Management System adhered to the Agile Scrum methodology, which emphasizes iterative progress, stakeholder collaboration, and adaptability to change. By organizing the project into focused sprints, the development team was able to gather regular feedback and implement continuous improvements throughout the development cycle. This approach ensured that the system evolved in direct response to user needs, resulting in a more refined, functional solution that effectively addressed operational inefficiencies in managing service-related workflows. The system significantly improved the management of service requests by automating key processes, providing real-time notifications, and enhancing data integrity and security. As a result, reliance on manual procedures was greatly reduced, and task response times improved notably. Stakeholders and end-users reported increased efficiency and ease of use, highlighting the system’s intuitive interface and reliable performance. The ability to track service data in real time enabled faster, more informed decision-making, supporting the organization's objective of achieving operational excellence. The successful implementation of the Service Management System highlights the effectiveness of integrating Agile development practices with real-time data analytics to optimize service operations. Its modular architecture supports scalability and future enhancements, while the centralized platform promotes improved coordination across departments. With advanced automation and reporting capabilities, the system enables proactive management and timely responses to service requests. Overall, the project demonstrates that digital transformation in service management results in measurable gains in efficiency, accountability, and informed decision-making.