Artificial Intelligence in E-commerce: Applications, Challenges and Future Trends

Abstract

The rapid development of digital technologies has made e-commerce one of the most dynamic sectors in the global economy. With the explosive growth of online shopping, massive amounts of transaction data, and increasingly diverse consumer demands, traditional e-commerce models face significant challenges in terms of efficiency, personalization, and security. Against this backdrop, Artificial Intelligence (AI) has become a core driver of innovation, providing new approaches to enhance user experience, optimize resource allocation, and mitigate risk. This article discusses the application status, impact and future development trend of artificial intelligence technology in the field of e-commerce. The research systematically analyzes the specific practices of AI in personalized recommendation, supply chain optimization and fraud detection, and shows that AI technology significantly improves the operational efficiency, user experience and transaction security of e-commerce platforms. At the same time, this article also points out the problems of data security risk and algorithm bias in AI application, and puts forward corresponding countermeasures. In the future, with the integration of large models, edge computation and other technologies, AI will further promote the development of e-commerce towards full-link intellectualization and virtual-real integration experience, reshape the industry ecology and value logic, and achieve sustainable innovation and high-quality development.