Artificial Intelligence and Its Role in Optimizing Inventory Management: A Simulation Study

This paper presents the development and evaluation of a simulated inventory management system using NetLogo, with a focus on demonstrating the potential of TurtleBot 4 robotics to optimize stock control in warehouse environments. Faced with technical challenges in using a physical TurtleBot 4, the project shifted to a simulation approach, which allowed for a detailed exploration of how agent-based models can improve inventory management processes. Drawing on research into SLAM algorithms, real-world business practices, and inventory management systems, the simulation replicates key warehouse functions, including the receiving, storing, and dispatching of goods. The project’s design includes a graphical user interface (GUI) that simulates wireless data transfer, enabling real-time interaction with the system. The artefact was tested successfully in various scenarios, highlighting the potential of robotics to enhance efficiency and streamline operations. The artefact overall performed as intended, providing valuable insights into the future of robotic integration in inventory management.