Keywords
Artificial intelligence
One-click generation
Potential
Challenge
Submitted : 2024-09-30
Accepted : 2024-10-15
Published : 2024-10-30
Abstract
This paper explores the development potential and challenges of one-click generative artificial intelligence (AI) in cross-border e-commerce. With the rapid growth of the Internet, cross-border e-commerce has seen significant market expansion, and the integration of AI technology presents new opportunities for the industry. This study analyzes the potential of one-click generative AI in cross-border e-commerce and its challenges. Reviewing relevant academic literature, the paper outlines key application scenarios of one-click generative AI, such as automatic product description generation and intelligent customer service assistants. Additionally, the study highlights the challenges associated with the technology, including issues related to semantic understanding and technological immaturity. The findings indicate that while one-click generative AI holds great potential for cross-border e-commerce, both technical and legal challenges must be addressed for its successful implementation.
References
Li L, Wang Y, Zhang Y, 2021, Analysis on the Application of Artificial Intelligence in Cross-Border E-commerce. Proceedings of Annual International Conference on Social Science & Contemporary Humanity Development (SSCHD 2021).
Lu S, 2021, Research on the impact of Artificial Intelligence on the Development of Cross-border E-commerce, thesis, South China University of Technology.
Wu S, Sun Q, 2024, Research on Creative Generation and Practice of AI Painting in Brand Visual Image Design. Popular Arts and Arts, 2024(08): 31–33.
Cui H, 2023, The Application of Generative Artificial Intelligence in Landscape Architecture. Modern Horticulture, 46(16): 126–128.
Wang Y, 2023, Research on the Construction of Cross-Border E-Commerce Alliance in Chengdu-Chongqing Area. Management and Technology of Small and Medium-sized Enterprises, 2023(12): 55–57.
Ma C, 2019, Research on Cross-Border E-Commerce Trade Facilitation. Financial News, 2019(8): 195.
Sufyan M, Shokat Z, Ashfaq UA, 2023, Artificial Intelligence in Cancer Diagnosis and Therapy: Current Status and Future Perspective. Computers in Biology and Medicine, 165: 107356. https://doi.org/10.1016/j.compbiomed.2023.107356
Xu H, 2019, Research on the Development Status, Influencing Factors, and Support Policies of Cross border E-commerce Industry in Hangzhou, thesis, Central China Normal University.
Zhang G, 2019, Exploring the Opportunities and Challenges of the Belt and Road Initiative for the Development of Cross-Border E-Commerce. Modern Marketing (Chuangfu Information Edition).
Lu X, 2023, Reflections on the Challenges of Integrating Sports and Tourism and Research on Development Paths. Stationery and Technology, 2023(08): 141–143.
Luo Y, 2021, Study on the Impact of User Generated Content on Consumer Purchase Intention in Social Cross border E-commerce Platforms, thesis, Jiangxi Normal University.
Wang C, Zhao M, 2023, Development Strategy of Cross-Border E-Commerce under the “Double Cycle” Pattern: A Case Study of Longshan Cross-Border E-Commerce Industrial Base in Shandong Province. East China Science and Technology, 2023(12): 103–105.
Yang W, 2019, Analysis of the Advantages, Disadvantages, and Strategies of Cross border E-commerce in Guizhou Province, thesis, Beijing University of Posts and Telecommunications.
Tsutsumi F, 2020, Potential and Challenges of using AI in the Energy Field. IEEJ Transactions on Electronics, Information and Systems, 140: 125–128.
Lin X, 2021, Analysis of Economic and Trade Situation under Digital Development. Business Management, 2021(11): 11–12.