Optimizing Warehouse Operations through an Automated Inventory Management System Utilizing Dijkstra's Algorithm and Remote Control Interaction

Warehouse management is vital for optimizing supply chain operations, influencing efficiency, accuracy, and cost-effectiveness. This paper presents an automated Warehouse Inventory Management System (WIMS) that enhances efficiency through real-time shelf monitoring, remote user interaction, and optimized pathfinding using Dijkstra’s algorithm. Built with an Arduino Uno, LEDs, shift registers, and infrared receivers, the system simulates an 8-shelf warehouse, providing instant inventory updates. Results show improved retrieval times and resource allocation, making WIMS a scalable and adaptable solution for modern warehouses. Future enhancements include advanced algorithms, IoT integration, and a graphical user interface for improved functionality.