Research On The Supply Chain Cost Control Of Enterprises Based On Big Data Technology

With the rise of the information age,e-commerce has gradually become an important business model.With its high degree of digitisation and easy access to information,e-commerce businesses are rapidly emerging as a major driver of economic development in China.However,with the development of living standards,socio-economic and consumer demand diversity,e-commerce enterprises must increase their capital investment to improve customer consumption experience,which puts a lot of pressure on enterprise cost management.Supply chain cost control is an integral part of cost management in e-commerce enterprises and is critical to their sustainable development.E-commerce enterprises need to continuously optimise and adjust their supply chain structure in order to improve profitability and competitiveness.With the intensification of market competition,traditional cost control methods can no longer meet the needs in terms of enterprise accounting objects,management scope and business division.More importantly,the method also faces certain limitations in terms of increasing profits and reducing costs.In the network information era,the goal of cost management cannot be limited to the internal costs of the enterprise,but should be dedicated to reducing the costs of the entire supply chain.By optimising the allocation of resources within and outside the enterprise,non-essential cost expenditures can be reduced,thereby improving operational management efficiency and expanding profitability.The development of big data technology has provided new ideas for supply chain cost management.E-commerce enterprises use big data technology to specialise in processing massive amounts of data and extract information that is useful to the enterprise.With this information,companies can better understand consumer needs and preferences,innovate and optimise supply chain management,thereby improving operational efficiency and refinement.As a leading company in China’s e-commerce industry,JD Mall has adopted the self-operated model as its main business model,which has led to the extensive use of big data technology in its supply chain management and operations,and has achieved significant results.Therefore,this thesis selects JD Mall to study the effect of the application of big data technology in its supply chain cost control.This thesis takes JD Mall as the research object and adopts the literature analysis method,case study method and comparative analysis method to explore in depth the application of big data technology in the supply chain cost control of e-commerce enterprises.Firstly,the theory related to supply chain management,the theory related to big data technology and the application of big data technology in supply chain cost control are studied in depth through the literature analysis method to deepen the theoretical understanding.Secondly,the comparative analysis method was used to analyse the procurement cost,operation cost,inventory cost and logistics cost of JD Mall based on its financial data from 2015 to 2021,based on the annual reports to obtain various financial data.At the same time,the effectiveness of big data technology for supply chain cost control of JD Mall is verified through a cross-sectional comparison analysis with Suning.com Tesco,a company in the same industry.Finally,the results of the study are combined with an evaluation of the effectiveness achieved by JD Mall,and a comprehensive summary of the findings of JD Mall’s use of big data to control supply chain costs,with a view to furthering the effectiveness of other e-commerce companies in supply chain cost control.