Express delivery has long been inseparable from the residents' lives. In densely populated areas, courier delivery has become a problem. This article starts at author's university, and investigates the specific difficulties encountered by university students, such as time and effort, uneven distribution of resources, and the remote location of express delivery and delivery centers. This thesis analyzes and explores, according to the current situation, proposes the program based on the WeChat Official Account Admin Platform and the micro site campus express delivery agency platform. Users can publish detailed information on behalf of express delivery through this platform, and can also receive other users' orders through this platform to help other users pick up express delivery, and receive the payment that needs to be paid on behalf of the user after delivery. The platform is divided into two parts: WeChat Official Account Admin Platform and micro site. The micro site partially implements the functions of standardized registration and login, delivery and receipt of express orders, and changes to order status. As part of the WeChat Official Account Admin Platform, it mainly achieves user's attention and then actively responds. The user responds to keywords and obtains corresponding information, guides the user to complete the express picking task more efficiently, and helps the platform's promotion and application. The WeChat Official Account Admin Platform uses the Sina Sae server, which is developed using the php scripting language. The micro site uses html and javascript languages, and the mysql database is developed to implement the corresponding functions of the campus express delivery agency. The test shows that the platform has a good user experience and can effectively and reasonably allocate limited resources on campus to improve the efficiency of college students in picking up express delivery.

Yunhao Yang. Design and Implementation of Campus Express Delivery on WeChat Public Platform. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 11: 57-67. https://doi.org/10.25236/AJCIS.2022.051109.

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