This research focuses on highlighting the critical value that Artificial intelligence and robotic innovations contribute to the Logistics industry across various operational levels. In response to the pressures of an increasingly interconnected and competitive global market, the study seeks to uncover how these advancements can generate efficiency and cost reduction in logistics processes by offering forward-looking insights. Additionally, it addresses the evolving nature of Supply Chain Management (SCM) strategies, especially in light of the disruptions caused by the COVID-19 pandemic, which has reshaped global logistics demands. A Multi-Criteria Decision Making Method forms the basis of the analytical framework. The evaluation begins with a historical perspective on industrial progress—from the origins of mechanized production to the emergence of Industry 4.0—emphasizing the pressing need to move toward Industry 5.0. Ultimately, a detailed SWOT analysis is conducted to assess Turkey’s SCM strategy, identifying the internal capabilities and external conditions shaping its performance.
