Abstract
This study examines the implementation of the vertical lift module spare parts shuttle within Global Automotive Company in the maintenance warehouse operations, concentrating on the optimization of storage utilization through Artificial Intelligence driven analytics. The study aimed to explore how Artificial Intelligence can enhance inventory management by altering inventory levels in response to changes in storage capacity and developing affordable solutions to overcome storage limitations. Using qualitative data collected from semi-structured interviews with key stakeholders at Global Automotive Company, the findings reveal that vertical storage systems significantly improve operational efficiency, space utilization, and inventory accuracy. Although challenges such as technical issues and the need for ongoing training were also identified. The study concludes that to enhance training initiatives, funding automation, and encouraging continuous improvement methodologies. Global Automotive Company Maintenance Warehouse can improve its supply chain performance and keep a competitive edge in the automotive sector by tackling these issues and utilizing cutting-edge technologies.