What is the application prospect of domestic large models in customer service?

When domestic large model technology is deeply integrated with customer service scenarios and continuously optimized, its application prospects are broad, and it is expected to significantly improve service efficiency and user experience. Common application scenarios include: Intelligent Q&A: 24/7 response to high-frequency and repetitive inquiries (such as business processing procedures, account inquiries), reducing the pressure on human customer service; Work order processing: automatically classify user problems and generate preliminary solutions, shortening the processing cycle; Personalized service: generate customized responses based on users' historical interaction data to enhance service relevance; Multimodal interaction: support communication in forms such as voice, graphics and text to adapt to different users' usage habits. Enterprises can prioritize starting from high-frequency consulting scenarios, train vertical domain models with business data, and gradually expand the scope of application to achieve dual improvements in customer service efficiency and satisfaction.