Abstract
In the big data era, more and more people elect to conduct their business online, and logistics firms are expanding in tandem with the quick growth of e-commerce platforms. However, since the outbreak of the epidemic in 2020, it has dealt a heavy blow to the whole world. Despite the economic downturn and difficult development in this particular period, it has also brought challenges and opportunities for logistics companies. The study finds that the effectiveness of logistics companies in managing their warehouses can be improved through the use of AI-driven data analytics and machine learning solutions; the impact of big data on the business performance of the express logistics industry; AI helps optimize the entire supply chain by providing insights on supplier performance, locating bottlenecks and suggesting process improvements; Big Data enables precise demand projections and coordinates supply chain operations with these estimates by using data analytics algorithms; and Big Data analytics and algorithms can help logistics companies improve cost control and resource utilization efficiency from transportation, warehouse management, distribution and other aspects. In addition, the study found that the application of big data can bring about ethical problems in logistics information, which negatively affects the property security and personal safety of both consumers and logistics companies.
Publisher
Darcy & Roy Press Co. Ltd.
Reference17 articles.
1. Jin, D. H., & Kim, H. J. Integrated understanding of big data, big data analysis, and business intelligence: A case study of logistics. Sustainability, 2018, 10(10), 3778.
2. Yan, Z., Ismail, H., Chen, L., Zhao, X., & Wang, L. The application of big data analytics in optimizing logistics: a developmental perspective review. Journal of Data, Information and Management, 2019, 1, 33-43
3. Dash, R., McMurtrey, M., Rebman, C., & Kar, U. K. Application of artificial intelligence in automation of supply chain management. Journal of Strategic Innovation and Sustainability,2019, 14(3), 43-53.
4. Mahroof, K. A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse. International Journal of Information Management, 2019 45, 176-190.
5. Digital Retail Technologies. (n.d.). Retrieved on April 15, 2023. Retrieved from https://www.juniperresearch.com/researchstore/fintech-payments/ai-in-retail.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Directions for using big data analytics in logistics management;Development management;2024-01-08
2. AI-Driven Optimization of Supply Chain and Logistics in Mechanical Engineering;2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2023-12-01