The logistics industry, with its inherent complexities and dynamic challenges, relies heavily on strategic human resources management (HRM) practices to optimize workforce potential and navigate the multifaceted demands of the global market. Utilizing the fuzzy analytic hierarchy process (Fuzzy AHP) as a decision-making tool, the research aims to unravel the intricate relationship between these strategies and the dynamic logistics sector. Employing a hybrid methodology that integrates an extensive literature review, insights from expert interviews with HR specialists in the Turkish logistics sector, the study examines how logistics companies optimize efficiency and competitiveness while navigating uncertainties. The findings highlight the foundational importance of talent acquisition, emphasizing innovative recruitment, targeted training, and empowerment. performance management takes center stage, emphasizing the critical role of aligning key performance indicators, maintaining a continuous feedback loop, and implementing recognition and rewards programs.