Simulation of Online Marketing Supply Chain Decision Model Based on Decision Tree Algorithm

From the marketing point of view, the supply chain is a whole network structure composed of suppliers, manufacturers, wholesale retailers and customers with common customers, based on the principles of win-win cooperation, equality and mutual benefit. This paper constructs a decision-making model of online marketing supply chain based on DT (Decision tree) algorithm, in order to provide reference or guidance for online marketing supply chain decision-making design and support for scientific decision-making of enterprises. According to the rough set theory, the decision table is constructed, and after the decision table is discretized, the DT algorithm based on the attribute dependence of rough set is used to evaluate and classify suppliers. The simulation results show that the optimal order quantity of risk-averse retailers increases with the decrease of deposit; With the increase of risk aversion of retailers, their optimal order quantity will gradually decrease; Suppliers can have a stable expected profit by using e-commerce, which can reduce the influence of traditional market risks on suppliers' expected profit. In the application process of real information system, the DT classification algorithm in this paper is adopted, and the supplier evaluation method is more robust, easy to understand, efficient and extensible.