Impact of Data Technology on Logistics Industry Business Performance
Zixuan Chen, Zishan Liao
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摘要与影响
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.
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经济 / 管理Big Data and Business Intelligence
Economic and Technological Systems Analysis
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