Optimizing Logistic Supply Chain Networks: A Data Driven Approach To Efficiency And Sustainability.

Abstract

The article explores how data driven technologies—such as Big Data analytics, Artificial Intelligence (AI), and the Internet of Things (IoT)—can optimize logistics supply chain networks to enhance efficiency and sustainability. The research identifies key technologies, examines their impact on operational efficiency, and assesses their role in reducing environmental impact. Despite significant advancements, gaps in understanding holistic integration and balancing efficiency with sustainability persist. Utilizing a mixed methods approach, including quantitative and qualitative analyses, the study develops a framework for implementing these technologies. Results demonstrate notable improvements in route optimization, inventory management, and waste reduction, while addressing challenges like data integration, security, and skill gaps. This comprehensive approach offers actionable insights for improving logistics operations and achieving sustainable outcomes.