Research On Consumer Sense Of Acquisition Based On Community Group Buying

In the context of the digital economy,community group buying has been widely welcomed by consumers as a new form of retailing.Coupled with the outbreak of the new crown epidemic,community group buying has been further developed.The traditional consumption pattern has changed due to the emergence of community group buying.Under the stimulation of consumer demand and investment between different capitals,the competition in the group buying market has become increasingly fierce,and the development of community group buying is very unstable.How community group buying will develop in the future is still a problem.In the face of a market environment with many risks and competitive pressures,it is very important for consumers to be satisfied with the community group buying platform.This thesis refers to domestic research on community group buying to investigate consumers' satisfaction with community group buying platforms.After comparing the linear regression,ridge regression,decision tree regression,random forest regression,support vector machine regression,and k-nearest neighbor regression models in machine learning,it is found that the random forest regression model has the highest R square and the smallest mean square error and absolute difference on the validation set,has a good estimate of the variable satisfaction.From the perspective of after-sales,the after-sales service of the platform has a significant impact on the satisfaction of consumers.If the platform can make timely and satisfactory compensation,it will greatly promote the desire of consumers to repurchase.From the point of view of commodities,the commodities on the platform are relatively high-quality and cheap,and can save a certain amount of time to go to the supermarket to buy commodities,so it is an important factor affecting consumer satisfaction.From the perspective of the infrastructure of the platform,factors such as the distance from the delivery point,the experience of the mini program,and the service attitude of the head of the group rarely have a great impact on consumer satisfaction.Finally,this research uses the gray system to predict the scale of community group buying,the amount of financing and the scale of fresh food e-commerce,and summarizes the problems faced by community group buying,so as to provide a reference for the future development of community group buying.