Automated Asset Tracking and Management using Microservices

Abstract: Good Automated Asset Tracking & Management is crucial for companies to ensure optimal stock levels, reduce losses, and enhance operational efficiency. Manual record-keeping and spreadsheet-based traditional methods of tracking inventories usually lead to inaccuracies, inefficiencies, and stock discrepancies. This study investigates the role of automated Automated Asset Tracking & Management Systems (AATMS) in optimizing inventory processes by leveraging new-age technologies such as barcode scanning, cloud computing, and real-time data synchronization. The research brings to light critical challenges companies encounter in Automated Asset Tracking & Management, for example, overstocking, stockouts, and poor demand forecasting. In addition, the research assesses the advantages of applying an automated IMS, for instance, enhanced accuracy, cost savings, and better decision-making. The results indicate that companies implementing digital Automated Asset Tracking & Management software enjoy enhanced efficiency and competitiveness. This study adds to the knowledge of Automated Asset Tracking & Management practices and offers suggestions for the streamlining of inventory control using technology-based solutions. Keywords: Automated Asset Tracking & Management System, stock control, automation, real-time tracking, business efficiency