Artificial Intelligence based Ecommerce Platform based on SaaS and Neural Networks









Abstract

Artificial intelligence-based E-commerce platform based on SaaS and neural networks is designed in this paper. With the rapid development of the internet and the rapid development of e-commerce, corporate information systems have become more and more complex, and new requirements have been imposed on corporate management and business models. Inspired by this, the paper proposes the novel perspectives. We have the following novelties. (1) Characteristics of multi-tenancy in SaaS software making it difficult to describe SaaS software, we define the optimal solution. (2) The maximum entropy model does not rely on independence assumption, and can perform parameter smoothing, we find the optimal using methodology. (3) BI's core technology is the basic data warehouse, database construction period and it should be analyzed, we test on the different databases.


Modules


Algorithms


Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL