Research On Supply Chain Cost Cntrol Of L Company Under The Background Of Big Data

With the development of Internet of things,big data,cloud computing and other technologies,the era of intelligence has come.More and more intelligent hardware products have entered the daily life of consumers and changed their consumption habits.Today,with the accelerated penetration of the Internet into traditional fields,more and more Internet enterprises have joined the competition in the intelligent hardware industry.As a new commodity model,"hardware+Internet" has also attracted many Internet enterprises and entrepreneurs to follow and emulate.Many well-known Internet companies,such as Alibaba,Baidu,Xiaomi,Huawei,jd.com and Netease,have made layout in the intelligent hardware industry.When facing the new market cake,all Internet giants hope to quickly occupy the market to build an ecological chain and form a large-scale user group.With the increasing number of entrants,the emerging smart speaker industry has inevitably entered the stage of a big price war.Under the background of fierce price war of intelligent speaker products,the traditional cost control method can not meet the competitive strategy of enterprises.In the era of continuous development of big data technology,enterprises need refined and systematic cost control of the whole process of the supply chain in order to form a strategic cost advantage,continuously improve the core competitiveness of enterprises in the competition and provide a strong guarantee for the rapid expansion of enterprises.This paper adopts the methods of literature analysis,interview,qualitative research and quantitative research.Through the research on the current situation of L company’s supply chain management and combined with the data of financial statements,this paper finds out two weak parts of the company’s supply chain management process:human cost control and inventory cost control.Through the methods of interview and quantitative research,this paper makes an in-depth research and Analysis on the high human cost and inventory cost in the process of L company’s supply chain management,and finally finds out the root cause of the rapid rise of human cost and inventory cost.In view of the causes of the problems,the author puts forward the optimization scheme of applying big data technology and optimizing information system.The scheme improves the workflow and work efficiency by establishing the database,building the system function module,optimizing the workflow and other measures,and finally achieves the effect of reducing the cost of the supply chain.Finally,by using the CVP model,this paper analyzes the feasibility of applying big data technology and optimizing information system scheme in L company,and puts forward some suggestions on management according to the analysis results.This paper holds that based on the cost volume profit analysis method,the model between the investment of R&D cost and sales and sales volume of L company can be constructed.The model helps managers make correct decisions on the cost investment of big data technology application.Under the condition that the investment of big data application R&D cost does not affect the normal operation of enterprises,big data technology can help enterprises reduce supply chain costs and make enterprises more competitive in the market.