Due to the blowout of COVID-19, a great variety of businesses suffered from a decrease in revenue, among which is one of the most popular industries today—online shopping. People's purchasing and consumption habits have shifted as the corona virus epidemic has progressed. As a result of the epidemic, not only have purchasing habits changed but so have sales-force operations. Recently, a lot of articles have been published about virus infection prediction and consumer behavior research in different countries. These articles analyze using mathematical modeling and a diverse set of data. In this paper, we will review these mathematics models and analyze the trend and the degree to which the online shopping market was affected by COVID-19 according to a different region in China, different kinds of products. The main criteria we are going to look at is how did the sales decreased or increase by percentage compared with the sales in the last few years.