Research On Value Chain Cost Management Of S E-commerce Enterprises Under The Background Of Big Data

The emergence of e-commerce has changed people’s past consumption habits and improved consumers’ shopping experience.In the highly competitive e-commerce industry,enterprises should pay attention to the core element of cost management if they want to improve their competitive advantages and occupy market shares.Value chain cost management helps enterprises to find valueadded links and gain cost advantages by analyzing the costs of various flow links in production and operation.Under the background of big data,electricity industry has unique advantages in data acquisition,enterprise if reasonable application of big data in the value chain cost management technology,can help enterprises to make more reasonable and effective decisions,reduce costs,promote enterprise under the impetus of the technology of data in the right direction,to improve enterprise core competitiveness.In this thesis,literature research method,case analysis method,comparative analysis method and quantitative analysis method are used to study the value chain cost management of S e-commerce enterprise by using big data technology.Value chain theory,value chain cost management theory and big data and other related concepts are used.Analyze the status quo and application of big data in key links of value chain cost management of S e-commerce enterprises in the context of big data.Through the analysis of the relevant financial indicators,found that enterprises exist prepayments high proportion,unsalable goods leading to the increased cost of procurement,procurement staff responsibility is not clear,high cost of shipping transportation,return logistics cost is higher rents and high labor costs,inventory management,warehousing technology advanced enough,the advertising fee on the high side and store lease the problem of high cost,And analyze the causes of related problems.Based on the problems found,this paper puts forward the use big data technology to enhance the visibility of purchasing link,perfect supplier information exchange system,forecast procurement process,perfect performance appraisal and supervision of logistics,integration of logistics resources,reasonable layout of warehouse location,increased investment in technology research and development of advertisement,accurate and reasonable planning store location optimization Suggestions,It aims to help enterprises use big data technology to further optimize value chain cost management,so as to gain competitive advantage in the industry.