电商AI客服的应用价值、现存问题与优化路径研究

Research on the Application Value, Existing Issues, and Optimization Pathways of E-Commerce AI Customer Service

摘要: 随着人工智能技术在电商领域的广泛使用，AI客服已从辅助工具升级为服务体系的核心载体。本文聚焦电商AI客服的实际应用场景，系统分析其在提升服务效率、拓展服务边界、优化消费体验等方面的应用价值；同时从技术局限性、用户体验障碍、服务逻辑冲突等维度，剖析其在实践中存在的服务僵化、情感交互缺失、算法透明度不足等问题。研究结合电商行业特征，提出从技术迭代、流程优化、制度规范三个层面的优化路径，旨在为推动电商AI客服的可持续发展、实现技术赋能与用户体验的平衡提供实践参考。

Abstract: With the widespread adoption of artificial intelligence technology in the e-commerce sector, AI customer service has evolved from a supplementary tool to the core component of service systems. This paper focuses on the practical application scenarios of e-commerce AI customer service, systematically analyzing its application value in enhancing service efficiency, expanding service boundaries, and optimizing consumer experiences. It also examines the challenges faced in practice, such as service rigidity, lack of emotional interaction, and insufficient algorithm transparency, from dimensions including technical limitations, user experience barriers, and service logic conflicts. The study combines the characteristics of the e-commerce industry to propose optimization pathways from three levels: technological iteration, process optimization, and institutional standardization. The aim is to provide practical references for promoting the sustainable development of e-commerce AI customer service and achieving a balance between technological empowerment and user experience.