Intelligent cross-border logistics transportation information obtaining and matching method based on big data analysis

Abstract

The invention discloses an intelligent cross-border logistics transportation information obtaining and matching method based on big data analysis. The intelligent cross-border logistics transportation information obtaining and matching method based on big data analysis comprises the steps of obtaining an order query instruction corresponding to a user and basic information corresponding to a user order; calling a delivery state corresponding to an order merchant of the user; acquiring basic information corresponding to a cooperative logistics company of the user order merchant who issues; obtaining basic information corresponding to an order issuing port of the user; matching and comparing the first-journey logistics information corresponding to the user order; obtaining basic information corresponding to a receiving port of the order receiving country of the user and basic information corresponding to a cooperative logistics company of the receiving country; matching and comparing the tail logistics information corresponding to the user order. The problems that existing cross-border transportation information is not comprehensive and logistics tracking cannot be carried out on abnormal orders are solved, and the cross-border purchase experience of users is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of logistics information matching, and relates to a method for intelligent acquisition and matching of cross-border logistics transportation information based on big data analysis. Background technique [0002] With the rapid development of the Internet of Things technology and the increasingly frequent trade between countries, the cross-border logistics industry has also developed rapidly. However, due to the complicated intermediate links of cross-border logistics and the long transportation cycle, in order to improve the purchase Experience, it is necessary to obtain the logistics and transportation information of the goods purchased by the user. [0003] The existing cross-border logistics transportation information acquisition methods mainly focus on the acquisition of domestic logistics information, and cannot obtain detailed overseas logistics transportation information. Therefore, the existing cross-...

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Problems solved by technology

[0002] With the rapid development of the Internet of Things technology and the increasingly frequent trade between countries, the cross-border logistics industry has also developed rapidly. However, due to the complicated intermediate links of cross-border logistics and the long transportation cycle, in order to improve the purchase Experience, it is necessary to obtain the logistics and transportation information of the goods purchased by the user

[0003] The existing cross-border logistics transportation information acquisition methods mainly focus on the acquisition of domestic logistics information, and cannot obtain detailed overseas logistics transportation information. Therefore, the existing cross-border logistics transportation information acquisition methods still have certain drawbacks. On the one hand The logistics information obtained by the existing cross-border logistics transportation information acquisition method is one-sided, and it is impossible to track the logistics of abnormal orders in the transportation cycle. On the one hand, the existing cross-border logistics transportation information acquisition method cannot obtain cross-border logistics transportation information. Therefore, it is impossible to effectively improve the corresponding cross-border purchase experience of users. On the other hand, the existing methods for obtaining cross-border logistics and transportation information cannot provide users with accurate logistics and transportation information, and thus cannot effectively improve user satisfaction.

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