Application Scenarios of Large Models

Customer service assistant

The NLP model is used to intelligently upgrade traditional customer service systems, enhancing the effectiveness of intelligent customer service.

Original intelligent customer service system:

• It is limited to fundamental FAQ functions without the capacity for semantic generalization. Its understanding of user intents is weak, frequently resulting in the need to transfer calls to human agents.
• The system cannot provide up-to-date responses in timeliness-sensitive scenarios, such as activities.

Customer service system upgraded using the NLP model:

• 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.