| dc.description.abstract | With the vigorous development of global e-commerce, cross-border logistics is facing multiple challenges such as efficiency improvement, cost control, and risk management. This article systematically studies K Company′s innovative strategies and implementation results in the field of cross-border logistics management through literature review, case analysis and other methods.
The study found that through the introduction of advanced automated warehousing systems, warehousing efficiency and accuracy have been significantly improved. Using intelligent inventory management technology, combined with big data analysis and artificial intelligence algorithms, precise control and dynamic optimization of inventory levels are achieved. In terms of global supply chain management, it also integrates other logistics resources to build a flexible and efficient cross-border logistics network.
The extensive application of IoT technology enables Company K to realize real-time monitoring of the entire cargo process, greatly improving the visibility and transparency of the supply chain. At the same time, the company innovatively introduced the cross-docking operation model, which effectively shortened order processing time and improved logistics efficiency. Data analysis plays a key role in Company K′s warehousing and logistics management. By mining and analyzing large amounts of data, the company can make more accurate decisions, predict market demand fluctuations, and optimize resource allocation.
Research results show that under the dual drive of globalization and digitalization, cross-border e-commerce companies must continuously innovate logistics management models, integrate global resources, and optimize supply chain efficiency in order to maintain their advantages in fierce market competition. At the same time, with the continuous emergence of new technologies, the application prospects of blockchain, artificial intelligence, etc. in cross-border logistics are also worthy of in-depth study.
Keywords: cross-border logistics, automated warehousing, supply chain management, data analysis, Internet of Things, cross-docking operations. | en_US |