Research on the Digital Marketing Strategies in the E-commerce Logistics Service Mode under the Influence of Big Data

In order to improve the risk prediction and management effect of ecommerce supply chain, this paper combines big data technology to carry out quantitative risk prediction and management of e-commerce supply chain, and proposes a bitemporal database middleware indexing algorithm.Moreover, this paper deals with e-commerce risk data, draws lessons from the 4R tree index method, and eliminates bitemporal variables through effective data transformation and query transformation.In addition, this paper analyzes and optimizes the two sub-processes of the original node insertion algorithm of the QR tree, and proposes the corresponding query transformation method after data transformation.Through simulation experiments, it can be seen that the risk management system of ecommerce supply chain based on big data technology proposed in this paper has good risk prediction and risk management effects.