Research On The Factors Affecting The Sales Of Shopping Goods Based On Grey Correlation Degree Network

With the development of the Internet,big data era,the Internet platform is growing exponentially the amount of information has become the focus of attention of scholars at home and abroad,which contains important value,through the large amount of information can be related to the analysis and decision making.The qualitative analysis from mere analysts experience,intuition,analysis of past and present a continuation of the status quo and latest information of the old customers to speculate the preference of modern qualitative analysis to quantitative analysis,and then through the statistical data,establish the mathematical model to reflect the scientific and accurate people's ideas in order to make more targeted decision.The research purpose of this paper is based on the Tmall mobile phone products monthly sales data to carry on the analysis,the factors associated with the degree of the size of its sales and influence factors,so as to businesses in the fierce competition to seize the opportunity to attract more customers,improve shop sales to give some ideas.In addition,it also provides a new way of thinking,tools and methods for the similar factors and degree of relevance,that is Grey Relational Analysis.The article is on the basis of reading many related literatures,from the qualitative analysis and quantitative analysis of two aspects,and solve the sales price,the cumulative number of commodity evaluation,through empirical analysis method(popularity),whether there exists relationship between praise rate and their sales and relevance ranking.First of all,questionnaires are used to collect relevant information,and the results are analyzed.On the basis of listening to the opinions of experts,a conclusion of qualitative analysis has been formed,which is to find some influential factors from the information of goods or shops that are well known in online shopping.Then,on this basis,through the Web Crawler "for data capture in souke software through SPSS Modeler software tools to preprocess the data,using the gray system theory with the grey relational analysis model for quantitative analysis of related factors.The grey correlation analysis on the selected model,summarize the commonmodel of the advantages and disadvantages,and to improve and use the improved model for quantitative analysis,finally calculate whether there is correlation between the size and degree of correlation factors of sales and influence,preliminary quantitative analysis conclusion.Finally,through the comprehensive consideration of all the qualitative and quantitative analysis results,the final draw conclusions,and give some suggestions to improve the shop sales,and provides a new idea and method for similar analysis.