Distribution logistics efficiency is crucial in the fast-moving consumer goods (FMCG) industry, in which high production volumes, frequent shipments, and tight delivery schedules demand optimal container utilization. PT XYZ, a leading FMCG company, faces significant challenges in maximizing the loading efficiency of C4 container trucks during their outbound operations. The objectives of this study are to analyze the causes of the decline in Vehicle Space Optimization (VSO) and evaluate the impact of implementing a product placement strategy on cost ratio and shipment value. A review of logistics and container loading literature pointed out the importance of strategic arrangement in improving space efficiency and reducing transportation costs. This study used historical shipment data from December 2024 and product dimension data from PT XYZ to develop a linear programming model for achieving the most efficient loading configuration. The proposed layout was performed using EasyCargo simulation software to visualize its spatial performance. The results demonstrated that the optimized strategy increases VSO by 5.39%, reduces the cost ratio by 0.09%, and improves the value of goods in a single shipment. These findings revealed the effectiveness of mathematical modeling and simulation in improving outbound distribution performance. In addition, this study highlights the importance of data-driven in decision-making for warehouse and distribution planning. For FMCG companies, this strategy provides a practical technique to minimize operational costs, maximize truck capacity, and improve overall distribution efficiency. The implementation of this method may provide a competitive advantage and long-term cost savings for the company.