Novel e-commerce platform based on artificial intelligence with data structure optimization

Novel e-commerce platform based on artificial intelligence with data structure optimization is designed in this study. To achieve the goal set, the analysis of the core systematic enhancement has been considered. Further, the proposed model separates and extracts the setting value of each parameter variable according to the application specification stored in the model description file. The functional layer is located in the middle of the platform architecture. It needs to use the access interface to complete the data exchange with the database, and use the message to exchange information with the user. The functional layer can use basic operation functions to complete data processing, and realize data storage, update and format conversion. Furthermore, the data structure optimization model is combined for the further implementation. The proposed model is validated through the test.