Research On The Bedding Design Based On The Sales Model Of B2C Network

The rapid development of information technology and the improvement of the construction of the Internet platform have promoted tremendous changes in all aspects of social life,especially the development of the B2 C network sales model,which has led the lifestyle,consumption patterns and marketing channels of goods change.Many home textile companies have entered the B2 C network sales platform,because of its high degree of standardization,bedding products are currently becoming the largest online sales category.At the same time,relying on the traditional design process and design thinking can not meet the rapid response to market demand,bedding design is also facing more severe challenges on this digital platform.The intervention of data processing technology can guide the design of data thinking and assist bedding products,it also helps home textile enterprises to effectively avoid product blind development and optimize the design process in the era of e-commerce.This topic combines the multidisciplinary principles and methods of textile design,computer science,statistics,information technology,etc.,and proposes the bed product information design model theory based on B2 C network sales model based on data processing technology application.Preliminary experimental verification has been carried out in the project practice.(1)Firstly,the definition and classification of China’s bedding industry are expounded,and the evolutionary development process and development status of China’s bedding design have been systematically studied.At the same time,combined with the characteristics of B2 C network sales model,this paper analyzes the mainstream bedding brands and consumer groups under the sales model,and discusses the impact of the sales model on bedding design,and then proposes the theory of the construction of bedding information design pattern from the development trend.(2)Secondly,starting from the multi-channel design data information,combined with the actual brand bedding case under the B2 C network sales,detailed classification and feature extraction of the design attributes of the bedding style theme,pattern theme,pattern form features,color and material are carried out,to lay the foundation for data mining and analysis.(3)Thirdly,through the pre-processing of data,the data set of bedding design attribute and sales attribute data is compiled,and the predictive regression data model of bedding design attribute and sales volume is obtained by selecting KNN data mining algorithm.On this basis,the existing data is divided into test set and training set,and the degree of fitting between the test value and the real value is obtained through KNN model training to prove that the data model is established.(4)Finally,based on the above,a bedding sales forecasting system based on B2 C network sales model is constructed,and preliminary practical application is carried out in the research room cooperation project.This topic applies data processing technology to bedding design based on B2 C network sales model,and puts forward the theory of constructing bedding information design pattern.This theory enables home textile enterprises to use data mining and data thinking to guide design in the process of product development.It can not only improve development efficiency,optimize product design process,but also be an innovative exploration and practice under the concept of textile “intelligence”.