With the rapid development of e-commerce and the change of consumption patterns, more and more consumers are beginning to choose online shopping. Logistics service has become one of the important factors that affects consumer satisfaction of online shopping and restricts the development of e-commerce enterprises. Therefore, it explores the factors influencing the online shopping logistics service and the corresponding relationship between them, and designs corresponding optimization solutions to provide better services to customers, further improve customer satisfaction, establish a good image for the enterprise and improve the efficiency of enterprises. In order to explore the types and the mechanism of consumer online shopping logistics services, from the perspective of online shopping consumers, the evaluation information of online shoppers on the platform is taken as the object of study, using the octopus data collection tool from Tmall to grab a large number of comments, conducting the in-depth analysis and mining using grounded theory research method, and further extracting the main categories and types of logistics service factors through open coding, spindle coding and selective coding. The composition of online shopping logistics service factors is divided into 7 main categories, the main category relationship structure is further mined, and the factors influencing the quality of online shopping logistics service are summarized as four main types of distribution quality, perception experience, after-sales service quality and reliability. Based on the typical relational structure of the main category, the core category of "key influencing factors of online shopping logistics service satisfaction" is finally determined, and the role model of logistics service quality is analyzed. Using the semantic network analysis and theoretical saturation test to verify the types of logistics service quality factors and their mechanism of action, the semantic network analysis using the ROST Content Mining knowledge processing and content mining software to conduct the whole network analysis, and using word frequency analysis and keyword co-occurrence analysis, the results are verified; and the research results are further verified by theoretical saturation test using the original data method and reliability assessment method. The results show that: perceived experience is the direct driving factor of online shopping logistics services, which determines whether the customer conducts online shopping. The quality of after-sales service and reliability indirectly drives consumers' online shopping behavior by influencing perception experience, which is the indirect factor of online shopping logistics service. Delivery quality can not only directly affect the quality of online shopping logistics service but also indirectly affect the online shopping logistics service quality through the perception experience. Obviously, it is necessary to explore the influencing factors of online shopping logistics service. By improving the logistics service in the above aspects, it not only can improve customer satisfaction, acquire and maintain a stable customer base in order to maintain the competitive advantage of enterprises, but also can be used as an important basis for e-commerce enterprise to improve its logistics system, and explore the weak link of the logistics to enable enterprises to get better development. The results of this study are of great significance for B2C e-commerce enterprises to improve the quality of logistics service and improve the competitiveness of enterprises.