| The pharmaceutical industry is one of the important pillar industries of the country.The repeated wave of digital intelligence,the rise of labor value and the environment with frequent natural disasters provide new opportunities for the reform,innovation,win-win and value-added of pharmaceutical enterprises.Inventory management using digital and intelligent technology is an important topic for the financial transformation of pharmaceutical enterprises under the background of the era.Based on this,this thesis first deeply analyzes the development background of inventory management of pharmaceutical retail enterprises in the digital intelligence era,introduces in detail the technical methods of big data,artificial intelligence,mobile Internet and cloud computing applied in inventory management in the digital intelligence era,and analyzes the characteristics of inventory management of pharmaceutical retail chain companies.Then,on this basis,using the case analysis method,this thesis introduces the basic information and inventory management status of CST pharmaceutical retail chain company,and discusses the problems existing in its inventory management in supply chain,sales chain and internal control management through on-site investigation and statistical analysis of relevant data,Aiming at the existing problems,this thesis puts forward the inventory management optimization scheme enabled by digital technology,and discusses the necessity and feasibility of the implementation of the scheme.Finally,on the basis of the feasibility of the scheme,the expected effect and follow-up guarantee measures are summarized.The theoretical significance of this thesis is that this thesis uses RFID,sensors,cloud computing,machine learning and other technologies to empower the theories and methods of inventory management of pharmaceutical retail chain companies,and makes a systematic research from the perspective of supply chain,sales chain and internal control,which enriches the research scope in the field of inventory management.The practical significance of this thesis is that the optimization strategies and measures of technology enabled inventory management proposed in this thesis can effectively improve the inventory management level of CST company in the digital intelligence era and reduce the inventory cost.At the same time,the research conclusion of this thesis also has a certain reference value for the inventory management of other related enterprises. |