[Retracted] Construction of Mobile E‐Commerce Platform and Analysis of Its Impact on E‐Commerce Logistics Customer Satisfaction

Abstract

With the development of mobile network communication technology, online shopping has further become the mainstream way of mass consumption. To this end, this article attempts to start from the innovation of e-commerce platform, uses today’s Internet of Things, collects relevant information, and collects relevant data through smart sensors, to establish a mobile e-commerce platform and analyze and explore the impact of e-commerce logistics customer satisfaction of factors revolve around e-commerce logistics. This article uses smart sensor technology to mine and analyze e-commerce information data and then design and build a new mobile e-commerce platform. Taking the two major e-commerce 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’s 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-party 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.

Construction of Rural E-Commerce Logistics Service Quality Evaluation System and IoT Applications under the Background of New Retail

“…Based on the findings of research on domestic and international logistics service quality assessment indicators, they constructed logistics satisfaction evaluation indicators using relevant e-commerce enterprises as samples. After the Internet, the Internet of Things (IoT) is another emerging field of science and technology [4].…”

User Experience Evaluation of B2C E-Commerce Websites Based on Fuzzy Information

“…Using the basic principles of the fuzzy possible mean method, the fuzzy random expected value method, and the fuzzy random simulation method, the clarification transformation method of the fuzzy random CLRIP model is constructed, and the improved genetic algorithm based on the adaptive selection mechanism and the TS-and SA-based methods are designed. Methods such as the two-stage hybrid heuristic algorithm to solve the clarification model effectively solve the problem of solving the complex fuzzy random CLRIP model [24].…”

Precise Marketing of E-Commerce Products Based on KNN Algorithm

“…A simple model of time series data can be represented in two ways, namely, additive model (additive) and multiplicative model (multiplicative). Daily observations of agricultural price data can be labeled as discrete time series sampled at fixed time intervals [ 21 ]. The recorded values x 1 , x 2 , x 3 ,… x n obtained in the discrete time X series of agricultural product price at time t 1 , t 2 , t 3 ,… t n are written as …”

“…additive model (additive) and multiplicative model (multiplicative). Daily observations of agricultural price data can be labeled as discrete time series sampled at fixed time intervals[21]. e recorded values x 1 , x 2 , x 3 , .…”