A New Logistic Management Quality Evaluation Method based on Support Vector Machine

In order to achieve more effective logistics management, make full use of data resources, and build in line with the development of a healthy enterprise logistics management mode. A new analysis model for evaluating the quality level of logistics management based on support vector machine theory is put forward. Through analyzing the influence factors in the logistics business process, the proposed model forecasts management efficiency of logistics operations implementation, and provide theoretical support for logistics management system optimization. Compared with the BP neural network model, the support vector machine has a more accuracy and efficiency, which is feasible for the quality evaluation of logistics management.