Research On Risk Management And Control Of BBG Inventory Management With Solutions Based On Big Data

The changes in the era of big data and the unexpected COVID-19 epidemic have brought unprecedented uncertainty and complexity to the economic environment of enterprises.The 14 th Five-Year Plan clearly states that attention should be paid to preventing and resolving major risks and challenges.How to make good use of big data to improve the internal control and risk management mechanism and strengthen their own risk management capabilities is a major practical issue for the development of Chinese enterprises.Inventory management is the focus of retail enterprise management.How to use big data to empower inventory management and improve the level of inventory management risk control is an urgent problem to be solved in the traditional retail industry.This paper takes the retail enterprise BBG as the research object.First,it builds an analysis framework for inventory management risk management and control based on asset management guidelines,risk management and control theory and related theories of big data.Secondly,it analyzes the company’s basic profile and inventory management through methods including field research and interviewing,checking the status quo of the four business links of storage,warehousing,sales disposal and inventory disposal.Thirdly,use the expert investigation method and business process analysis method to identify a total of nine risks in each business link from the status quo.Then use the expert scoring method to conduct risk evaluation for each risk with the risk matrix model and illustrate the level of each risk with a risk heat map and then and formulate risk response strategies for each level of risk.Finally,proposes an innovative risk classification response plan for inventory management based on big data technology.In the verification and storage process,the quality and safety risks are transferred through the dynamic rating of suppliers and the construction of an Io T full-process traceability platform,and RFID is used to realize accurate and automatic verification and storage to reduce the risk of inventory data deviation.In the process of warehousing and storage,BP neural network intelligent prediction is used to reduce the risk of inventory backlog,and the smart warehouse is used for refined classification and storage to reduce the risk of commodity damage.In the sales and delivery link,build an intelligent order replenishment system to reduce the risk of delayed replenishment,build an electronic shelf label system for real-time management to reduce the risk of out-of-stock batch confusion,and build an intelligent logistics system to reduce the risk of inefficient distribution.In the process of inventory and disposal,the establishment of an inventory management system reduces the risk of inventory errors and omissions,and maintains and accepts a low risk of improper disposal.And put forward safeguards in the end.The contribution of this paper lies in: selecting typical enterprises in the traditional retail industry as the research object,researching the inventory management of large retail enterprises from the perspective of risk management and control,closely combining the characteristics of the era of big data,and creatively putting forward a risk response plan based on big data to serve BBG Risk management and control in inventory management.This paper demonstrates the utility and value of big data technology applied to enterprise internal control and risk management,and summarizes the general methods for retail enterprises to adapt to the trend of science and technology and transform enterprise inventory management,in order to provide some reference for other enterprises in the retail industry.