Search

Research on the Integration Innovation of AI and E-commerce and Its Impact on Future Business Models

Author(s)

Jiayi He1, Lie Luo2, Zhongyan Lin3,*

Affiliation(s)

1Electronic Information Engineering, Minjiang University, Fuzhou, Fujian, China 2International Digital Economy College, Minjiang University, Fuzhou, Fujian, China 3Internet Innovation Research Center, The College’s Research Base of Humanities and Social Science in Fujian Province (Minjiang University), Fuzhou, Fujian, China *Corresponding Author.

Abstract

This paper aims to explore the specific application of Artificial Intelligence (AI) technology in the e-commerce industry and the changes it brings, given the industry's rapid development, intensifying market competition, and evolving user needs. By reviewing the history of e-commerce development, we gain an in-depth understanding of the status of AI application in meeting market demands. The study focuses on the specific application of AI technology in e-commerce operations and its effectiveness, deeply analyzing key areas such as intelligent recommendation systems and data analysis. It reveals how AI can reshape the operational mode and business model of the e-commerce industry by enhancing user experience, optimizing operational efficiency, and deeply exploring data value. Furthermore, the paper explores the potential impact of this integration on the future development of the e-commerce industry and makes predictions on the prospects of AI technology application, providing valuable references for relevant enterprises and researchers. Ultimately, this research concludes that AI technology holds great promise in driving the sustainable and healthy development of the e-commerce industry by enabling more effective market competition response and precise user need satisfaction.

Keywords

Artificial Intelligence; E-Commerce; Business Trade; Intelligent Recommendation Systems; Omnichannel Marketing

References

[1] Sun Ke, LU Zelin. Research on the application development trend of Artificial Intelligence in e-commerce. Guizhou Social Science, 2019(9):136-143. [2] N. J. NILSSON. Artificial Intelligence. San Francisco: Elsevier Science, 1998:1-2 [3] N. CHRIS. Expert systems: introduction to first and second generation and bybrid knowledge based systems. New York: MARCEL, DEKKER, INC, 1997:2-3 [4] Zhang Shun, Gong Yihong, Wang Jinjun. The Development of Deep Convolution Neural Network and Its Applications on Computer Vision. Chinese Journal of Computers, 2019, 042(003):453-482. [5] Tang Yijie. Overview of the application of Artificial Intelligence technology in e-commerce. Hefei, Anhui: Anhui College of Commerce and Industry, School of Accounting, 2023(10):35-38. [6] Li Guanqiang, Chen Ya, Li Qiang. Behavioral Analysis of Internet Users in China. Chinese Library Journal, 2004, 30(5):4 [7] Guo Shixuan. Research on Internet Attitude and Social Trust of Chinese Residents—An Empirical Analysis Based on CGSS2017 Data. Advances in Applied Mathematics, 2022, 11(3):6. [8] L. J. Wang. Imports and exports for the year 2023.State Council Information Office press conference, Beijing, China, 2024. [9] Yu Lu. Cross-border e-commerce innovation breakthrough revitalizes new vitality. Economic Reference News (New Economic Weekly). 2024(02) [10] Gu Pan. AIGC’s New Opportunities in Revitalizing Rural Farmers’ Markets. E-Comme rce Letters. 2024, 13(2):7:3854-3861 [11] S. KUATRA. Generative Al with Amazon Bedrock. Birmingham: Packt Publishing, 2024:9 [12] Zhang Wenqing. Study on Alibaba’s “Double Eleven” Marketing Strategy from the Perspective of 4R Theory. E-Commerce Letters, 2024, 13(2):5 [13] Mao Xiufeng. “This Life” and “Afterlife” of “Virtual Digital People”. E-Commerce Letters. 2024(8):4884-4889.