Use Cases

Customer Service Assistant

A third-party model is used to intelligently upgrade traditional customer service systems, enhancing the effectiveness of intelligent customer service.

Original intelligent customer service system:

• Only basic FAQs can be answered, with no capability for semantic generalization.
• The intent understanding capability is weak, resulting in a high transfer rate to manual service.
• The system cannot provide up-to-date responses in timeliness-sensitive scenarios, such as activities.

Customer service assistant:

• Improved service efficiency: The LLM-powered intelligent customer service system offers 24/7 services. This new system can manage a larger volume of customer inquiries and deliver quicker responses compared to the traditional manual customer service.
• Reduced OPEX: The LLM-powered intelligent customer service system can handle most common issues, freeing up manual customer service agents to tackle more complex and personalized customer needs.
• Personalized services: The LLM-powered customer service system can learn and adapt to users' behavior patterns and preferences to provide more personalized services.