电商场景中AI客服的体验困境与人机协同

Experience Dilemmas and Human-AI Collaboration of AI Customer Service in E-Commerce Scenarios

摘要: 人工智能技术已深度渗透电商客服领域，成为企业降本增效的关键手段，智能聊天机器人、语音客服系统及智能知识库等多种应用形态的广泛部署，使企业得以实现7 × 24小时不间断服务响应。然而，AI客服在实践中仍面临多重体验困境，语义理解层面对复杂口语与方言表达的解析能力不足，情感交互层面缺乏对用户情绪的识别与共情回应，用户信任层面消费者对决策准确性存疑且担忧数据安全。这些困境不仅制约服务质量提升，也直接影响消费者忠诚度。本文在梳理AI客服主要应用形态的基础上，系统分析了电商场景中用户面临的体验痛点及其成因，并基于人机协同视角，从技术优化、情感赋能、信任构建及协同机制四个维度提出系统性提升策略，旨在为推动电商AI客服高质量发展提供理论参考与实践启示。

Abstract: Artificial intelligence technology has become deeply embedded in the field of e-commerce customer service, serving as a critical enabler for enterprises to reduce operational costs and enhance efficiency. The extensive deployment of diverse application forms—such as intelligent chatbots, voice-based customer service systems, and intelligent knowledge bases—empowers businesses to deliver round-the-clock service responses without interruption. Nevertheless, AI customer service continues to face multiple experiential challenges in practice. At the level of semantic understanding, it struggles to accurately interpret complex colloquial expressions and regional dialects. In terms of affective interaction, it lacks the capacity to recognize user emotions and respond with empathy. Regarding user trust, consumers remain skeptical about the accuracy of AI-driven decisions and express concerns over data security. These constraints not only impede the improvement of service quality but also exert a direct negative impact on consumer loyalty. On the basis of reviewing the primary application forms of AI customer service, this paper systematically analyzes the experiential pain points encountered by users in e-commerce scenarios, along with their underlying causes. From the perspective of human-AI collaboration, it proposes a set of systematic enhancement strategies across four dimensions: technological optimization, emotional empowerment, trust cultivation, and collaborative mechanisms. The aim is to provide both theoretical reference and practical guidance for advancing the high-quality development of AI customer service in the e-commerce sector.