Optimizing spare parts management in motorcycle stores is paramount for maintaining operational fluidity and guaranteeing customer satisfaction. This research delves into the application of Dijkstra’s algorithm for route planning, complemented by the container packing distribution model and the order picking concept within parts warehousing. This synergistic integration not only ensures a comprehensive optimization but also holds the transformative potential to revolutionize both delivery and warehousing operations within the motorcycle industry. By leveraging Dijkstra’s algorithm, we aim to enhance the efficiency of route planning, facilitating streamlined transportation processes. Simultaneously, the container packing distribution model contributes to spatial efficiency, minimizing wastage and maximizing storage capacity. Furthermore, the incorporation of the order picking concept refines the retrieval process, reducing lead times and increasing overall operational agility. This holistic approach, combining route planning, container packing, and order picking, presents a paradigm shift in spare parts management, promising unparalleled efficiency gains. As industries evolve, embracing such optimization strategies becomes imperative for staying competitive and meeting the growing demands of a dynamic market.