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To this end, this article attempts to start from the innovation of e\u2010commerce platform, uses today\u2019s Internet of Things, collects relevant information, and collects relevant data through smart sensors, to establish a mobile e\u2010commerce platform and analyze and explore the impact of e\u2010commerce logistics customer satisfaction of factors revolve around e\u2010commerce logistics. This article uses smart sensor technology to mine and analyze e\u2010commerce information data and then design and build a new mobile e\u2010commerce platform. Taking the two major e\u2010commerce platforms of Jingdong and Taobao as examples, through online evaluation surveys, the importance of factors affecting logistics service quality and customer satisfaction under different logistics distribution models was explored and analyzed. Under JD\u2019s selfoperated logistics distribution model, users pay the most attention to the integrity of the delivered goods, the accuracy of the delivery time, and the service attitude of the delivery personnel. The importance is ranked second, first, and third, reaching 48.36%, 50.36%, and 61.64%, respectively. Under the third\u2010party logistics distribution model of Taobao, the main influencing factors are the integrity of the delivered goods, the accuracy of the delivery time, the importance of outer packaging, and the importance of product integrity, reaching 37.52%, 41.1%, and 24.29 %, respectively.<\/jats:p>","DOI":"10.1155\/2021\/6636415","type":"journal-article","created":{"date-parts":[[2021,2,11]],"date-time":"2021-02-11T10:43:49Z","timestamp":1613040229000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["[Retracted] Construction of Mobile E\u2010Commerce Platform and Analysis of Its Impact on E\u2010Commerce Logistics Customer 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