The Research Of Key Accounts Management Based On Big Data Of The Container Terminal Company

Free competition stimulated the prosperity of the market economy, with the further development of reforming and opening up,port resources,as an important support for regional economic development, has quickly become the hottest investment projects.With the world economy continuing to decline, the global logistics increment is very limited, major container terminal companies Port Group has been encroached on by the surrounding newly developing container terminal. We have make full use of data resources to regain the control of the market initiative as well as solving the market problems by improving the quality of customer management In this environment.Key Accounts are the most important profitable source for modern companies. It is the key to enhance the level of management and service of container terminals by effectively managing and maintaining key accounts and using big data to further explore more key accounts. With the development of computer technology, data has become one of the core resources of enterprises. Handle the scientific method of using big data and build the data analysis model to enhance the quality and level of key accounts management to increase in the container terminal company's throughput and profit.This paper focuses on the importance of big data in the management of key accounts in container terminals, In the specific application, take an example, through creatively using big data methods in the company's local areas and key aspects,they have effectively improved the customer experience by increasing the logistics convenience, cost control as well as win-win cooperation on related projects. While enhancing the competitiveness of enterprises and improving the service of the existing key accounts, they have also explored new key accounts from surrounding ports.With the economic downturn and the increase in the number of terminals, the buyers and sellers market positions in container handling services .industry have undergone a fundamental change. The method of finding the best combination of both resources will be more and more widely used in the daily management. To achieve the throughput of the fundamental task based on big data, the core competitiveness of container logistics enterprises can be further enhanced through data analysis method.