The Application of Artificial Intelligence in E-Commerce Media Operations
- DOI
- 10.2991/978-94-6463-676-5_53How to use a DOI?
- Keywords
- E-commerce transformation; artificial intelligence; operational efficiency; personalized customer experience; technological innovation
- Abstract
This paper provides an in-depth exploration of the significance and application of artificial intelligence (AI) technology in the e-commerce sector. It examines key areas where AI is being utilized, including intelligent recommendation systems, automated customer service, and supply chain optimization. The study also addresses the challenges associated with implementing AI technologies, such as data privacy and security, technical integration, and ethical considerations. Furthermore, it forecasts the future impact of AI on e-commerce, highlighting innovative business models, intelligent operational processes, and changes in the competitive landscape. Through case studies and empirical evidence, this research offers valuable insights for practitioners and researchers, providing a roadmap for leveraging AI to enhance efficiency, effectiveness, and competitiveness in the e-commerce industry.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yuanyuan Wang PY - 2025 DA - 2025/04/15 TI - The Application of Artificial Intelligence in E-Commerce Media Operations BT - Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024) PB - Atlantis Press SP - 537 EP - 547 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-676-5_53 DO - 10.2991/978-94-6463-676-5_53 ID - Wang2025 ER -