Inventory management is vital in the pharmaceutical industry, especially for perishable goods. These products have a limited shelf life and require careful handling to maintain quality, prevent losses, and maximize profits. Managing perishable inventory, particularly in the pharmaceutical sector, involves making informed decisions considering multiple factors. Poor decision-making can result in expired medications, leading to financial setbacks and potential harm to patients. Additionally, challenges arise when uncertainties and other factors like transportation and cost come into play. To address these challenges, this study proposes the use of a multi-criteria decision support model to enhance inventory efficiency. The proposed model takes into account various criteria, including shelf life, storage conditions, and economic efficiency. It evaluates the impact of different inventory management strategies on optimizing perishable pharmaceutical products. By providing a prioritized ranking of strategic actions, the model helps optimize inventory management efforts, guiding the implementation of suitable strategies for improved performance.