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Analysis of the Applications and Impacts of Artificial Intelligence in E-Commerce-A Deep Exploration of Business Transformations, Opportunities, Risks, and Governance Paths under Technological Innovation

Author(s)

Yu Jian

Affiliation(s)

College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China

Abstract

AI technology is profoundly redefining e-commerce models and user experiences. This paper offers a thorough analysis of AI's role in key e-commerce areas. It explores how deep-learning-based recommendation systems personalize suggestions, how NLP enhances customer service, how reinforcement learning enables dynamic pricing, and how computer vision aids product management. These technologies boost efficiency through data-driven decisions, activate niche markets, and refine consumer experiences. However, AI's advantages are accompanied by challenges like data privacy risks, algorithmic pricing discrimination, and potential tech monopolies, which may increase market inequity. To address these, the paper proposes a co-governance framework of "technical optimization, policy regulation, and user education". It supports combining XAI, federated learning with algorithmic transparency laws to balance innovation and ethics. This study gives e-commerce firms practical tech-implementation guidance and backs inclusive digital-market rules, aiming to unify commercial value and social responsibility.

Keywords

Component; Deep Learning; Computer Vision; Dynamic Pricing; Natural Language Processing; XAI

References

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