iarjbmIARJBMIARJBM2708-5147https://doi.org/10.47310/iarjbm.2026.v07i02.001Digital Transformation and AI-Driven Supply Chain Management in the Pharmaceutical Sector: Opportunities and ChallengesThe pharmaceutical supply chain is a critical component of the global healthcare system, ensuring the efficient delivery of life-saving drugs to patients. However, challenges such as inventory management, counterfeit drugs, demand forecasting, and regulatory compliance necessitate innovative solutions. Artificial Intelligence (AI) has emerged as a transformative tool in optimizing pharmaceutical supply chain operations. This review systematically examines the applications, benefits, challenges, and future prospects of AI in pharmaceutical supply chain management. By analyzing current literature, this article highlights AI-driven solutions such as predictive analytics, blockchain integration, and machine learning algorithms, offering a comprehensive understanding of their impact on efficiency, accuracy, and transparency in the pharmaceutical supply chain. Furthermore, the study explores the strategic implications of AI adoption in emerging markets, with a specific focus on the Turkish pharmaceutical sector, addressing unique regional barriers and opportunities for digital transformation.