Rich emotion in human-like voice

The AI robot adopts a real human voice recording mode to reduce the stiffness and emotionlessness of traditional robots, increase the trust between people, and add relevant colloquialisms and warm-up phrases during conversations to ensure the quality of the dialogue and make it more acceptable to customers.

ASR voice-to-text conversion

Customers can directly send the information they want to consult through voice, and the system can accurately recognize and understand the content of the conversation through ASR, accurately answer customer questions, and convert it to text format through TTS in the details of the conversation, making the browsing clearer and the customer's intention clear at a glance.

Support for seamless multi-turn dialogue

The knowledge base contains questions, and the system can automatically expand similar questions based on deep learning technology and language libraries, and intelligently perform semantic analysis and matching based on the semantic analysis engine. The accuracy of intelligent robot answers exceeds 90%.

Accurate customer intention analysis

Helping users deal with a massive customer base, batch outbound calls are made to screen out the strength of customer intentions through conversation time, conversation rounds, and keywords triggered during conversation, helping salespeople quickly grasp customer intentions for secondary sales.

Support for interrupting the Q&A process

During the robot's speaking process, customers can interrupt the conversation at any time. When the customer has a question or wants to ask for information while interrupting the robot's speech, the robot can respond quickly and give feedback, bringing closer to real conversations between humans, further increasing customer trust and making subsequent dialogues more fluid.