In recent years, the rapid development of China’s international trade in services has brought new impetus to China’s economic growth. However, due to the late development, compared with foreign countries, there is still a lack of core competitiveness. big data(BD) can bring great commercial value, and it is currently applied in various fields. In view of the current situation of China’s international trade in services, this paper puts forward the development strategy research of international service trade(IST) based on BD. This paper makes an in-depth study and analysis of BD technology and its application in China’s international trade in services. It is believed that the current situation in China’s international trade in services is too single, low-end industry, and low share of high-tech. through BD technology, we can further tap the potential value behind the data, so as to improve the 1ST the existing problems in the scientific analysis. This paper investigates the competitiveness of China’s IST. Through the survey, we can see that the T Index of China is - 0.021, and the overall economic competitiveness of enterprises in service export trade is relatively weak. In the current modern service export trade, the overall competitiveness and advantage index of patent, insurance and other fields are relatively low, reaching -0.91, - 0.97, - 0.86. The analysis shows that the reasons behind this situation are complex, but it also indirectly shows that there is still a lot of work to be done to make China’s 1ST bigger and stronger. First of all, we should pay attention to the analysis and application of data, and formulate scientific and effective development strategies through BD analysis and other means.

<p class="15" align="justify">The sudden arrival of the epidemic has brought a heavy blow to every one of us. All walks of life in China have been greatly affected. In order to help the country tide over the difficulties, all the Chinese are united in the fight against the epidemic. The results of the anti-epidemic are very effective. During the anti-epidemic period, many industries in China have changed their traditional business mode to adapt to the development under the epidemic environment. This shows strong development force and strong innovation ability of China. Under the epidemic situation, the design and research on the teaching reform of logistics management specialty in colleges and universities in China is an urgent problem for colleges and universities to think about. Therefore, in order to better help colleges and universities to carry out the teaching reform of logistics management specialty during the epidemic period, this article puts forward the teaching reform direction of logistics management specialty in colleges and universities as the practice teaching method. Through the accurate analysis of the current practice and characteristics of logistics management major in colleges and universities, a set of suitable teaching methods for logistics management major in colleges and universities during the epidemic period is formulated the new plan of learning reform. Through the analysis, it is found that the method proposed in this paper has important practical significance for the design and research of the teaching reform of logistics management specialty in colleges and universities under the epidemic situation.</p>

During the spike in the activity of the cross-border e-commerce company, due to the limitation of time and data, the historical activity performance data and some data of this activity are used. Due to the limitation of data and the specificity of the prediction task, the original data are modeled and predicted by using a BP neural network model after a series of processing. This paper proposes a prediction model based on a decision tree and BP neural network model, through this real-time prediction model to predict the performance of the company’s spike activity every minute but also can play an early warning role, which is more helpful to the company’s decision-making. In fact, the company also used this model to detect a trend of lower performance during the May spike and then improved the performance and sell-out rate through email marketing and increased discounts to avoid inventory backlog.

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With the mature application of Internet of Things, big data and cloud computing technologies in various industries, smart ports based on new technologies have emerged. This article aims to build a port logistics service platform based on big data, with a view to using the big data platform to increase the development speed of the port logistics industry and realize the informatization and modernization of the development of logistics information. This article takes a typical B logistics company in Port A as an example. Through a survey and analysis of B logistics companies, it is concluded that the operating income of B logistics companies has always shown an upward trend. In 2019, the operating income reached 2.01 billion yuan. By analyzing the company’s methods to enhance market competitiveness, combined with the actual situation of Port A, build a port logistics service platform based on big data. The research in this paper helps to improve the development speed of the port logistics industry, comprehensively improve the competitiveness of the port and the service level of the port, and realize the informatization and modernization of the development of logistics information.