Improvement of Logistics Operation Efficiency Based on Network Freight Transportation and Analysis of Its Economic Benefits

Abstract

In this paper, firstly, we construct the road cargo transportation monitoring system of network platform, in which we design the functional modules, construct the feature set of vehicle-cargo matching as well as feature screening, and complete the feature extraction of vehicle-cargo matching. And the logistics prediction model is constructed through Stacking integrated learning, and the meta-learner is used to train and test the training set and test set to obtain the prediction results of vehicle-cargo matching on network freight transportation platform. The results show that, in terms of operational efficiency, the time used for order taking in traditional logistics is 11.94 times that of network freight, the time used for picking up goods in traditional logistics is 2.38 times that of network freight, the time used for order taking to delivery of goods in network freight mode saves 21%, and the average score of customer satisfaction in network freight mode is 29.55% higher than that in traditional logistics mode. In terms of economic benefits, the average monthly net profit of traditional logistics is 1,057,800 yuan, and the average monthly net profit of network freight transportation is 3,101,800 yuan. It is verified that there are obvious advantages of network freight transportation both in terms of operational effectiveness and economic benefits.