Big Data Management: Empowering Sustainable Logistics with Data-Driven Operation Optimization

Abstract

Numerous disciplines, including logistics, have experienced a paradigm shift since the advent of big data. As the backbone of many industries, logistics has been significantly impacted by the expansion of big data. The purpose of this paper is to investigate the far-reaching effects of big data technology on the development of sustainable logistics, with a particular emphasis on the role of big data in various parts of the logistics process. Through a literature review and case analysis, this paper focuses on summarizing the application of big data in all aspects of logistics, and selecting and analyzing the experiences and lessons of businesses that have successfully implemented big data logistics practices. It finds that by optimizing the operation model and other means, big data effectively improved logistics efficiency. Simultaneously, intelligent solutions supported by big data can also aid in reducing the impact on the environment, for instance by encouraging the use of alternative energy vehicles. In addition, big data can encourage various entities to engage in collaborative innovation and promote the continuous generation of logistics-related solutions.