Smart Logistics: The Data Science and Big Data Analytics Revolution for Sustainable Supply Chains

Optimizing supply chain logistics has become crucial in an era where sustainability is of paramount importance. The confluence of environmental consciousness, economic viability, and technological advancements has paved the way for innovative solutions. At the forefront of this revolution is the integration of Data Science and Big Data Analytics (BDA), offering unprecedented opportunities to enhance efficiency, reduce environmental impact, and forge a more sustainable future for Supply Chain Management (SCM). This chapter delves into the intricate intersection of supply chain logistics, data science, and big data analytics, exploring the transformative potential of these technologies in optimizing sustainable practices. This study aimed to shed light on how businesses can utilize data-driven insights to transform their supply chain operations and strike a sustainable balance between economic growth and environmental responsibility by thoroughly examining key concepts, approaches, and practical applications. Furthermore, attempts are made to examine the barriers and challenges, highlighting its future potential, and inspire more research and pedagogical advancements in this domain.