Research On Cost Prediction Of Shared Terminal

With the development of sharing economy and computer network technology,a new development model of "Internet+" came into being,which has changed the production form of society and affected people's consumption habits.At the same time,relying on low cost,high efficiency and no time and space Limitations and other advantages have brought a huge impact on traditional offline retail.The shared terminal is a type of unmanned cold storage container,which is an offline supplementary fresh food format.In the context of the rapid development of the Internet of Things technology,unmanned automation is bound to be a new trend in the future development of the retail industry.At present,all unmanned retail enterprises have put forward development goals to reduce costs and achieve economies of scale.However,behind this high-speed development,many real problems have been exposed.After rapid growth,the company quickly failed.This is because a large amount of fragmented social resources covering many links requires high costs,and it also has social and government system restrictions.And impact,so it is very important for the control of operating costs during the development of the enterprise.The research of this article aims to control the number and scale of the points laid in the early stage of the project to meet the needs of the strategic development of the enterprise and maintain the competition of the enterprise in the market.Advantage.The shared terminal involved in this article mainly deals with fresh fruits and vegetables,meat,and other materials that meet the needs of daily family life.Therefore,it is very important to study the location of the delivery location.Generally,it is selected in the community,and it is aimed at people who have a rigid demand for cold products.In the development process of shared projects,the operating cost structure is complicated,especially in the expansion process,the cost of site laying needs to be considered.This article relies on the shared terminal launching project of Tianjin X Technology Co.,Ltd.to sort out and analyze the classic achievements made by scholars from various countries in the study of site selection factors,and to study the factors influencing the site selection related to this project.It is considered that location characteristics variables and environment characteristics variables such as transportation convenience,education quality,medical resources,business development level and living environment quality have an important impact on the price of point laying costs.Based on this,the KNN model and The multiple linear regression model performs cost prediction,and carries out various hypothesis verification and model diagnosis.Experiments show that both the KNN model and the multiple linear regression model can achieve better results in cost prediction,but the multiple linear regression model has a lower mean square error(MSE),a higher judgment coefficient(R2),and a better prediction effect..At the same time,it is verified that the factors influencing the site selection proposed in this paper are effective.Previously,more data mining techniques were used in the financial field,and relatively less research on combining with cost management.This paper applies data mining methods to the field of cost research,and is expected to realize intelligent application of cost management.The research field of this article is a relatively new subject,which enriches the existing research results,provides a calculation basis for the later shared terminal project to truly enter the market,and has a certain reference value in the location selection of points.Therefore,the research in this article is scientific and practical,and has a guiding role for the further development of the shared terminal project.