Tencent Cloud Contact Center’s AI Agent enables businesses to use AI for handling calls on telephone lines. It quickly converts text-based models into speech, allowing the AI to speak directly with customer, making it easier for businesses to manage incoming and outgoing calls efficiently.
Core Features
Architecture
1. Automatic Speech Recognition (ASR): Advanced speech recognition converts customer voice inputs into text with high accuracy.
2. Large Language Model (LLM): Integration with large models like Deepseek V3 helps process inputs and generate accurate responses.
3. Text To Speech (TTS): Converts text responses into natural, human-like speech, providing a smooth and engaging customer experience. It also supports integration with leading TTS providers.
Advanced Feature
Self-developed background noise reduction engine: Reduces background noise to improve the accuracy of automatic speech recognition.
Semantic intelligent sentence segmentation algorithm: Detects when a user has finished speaking, minimizing interruptions during conversations.
Phone-related features:
Transfer to human agent: Support proactive transfer to human agent during a call based on preset conditions.
Post-call analysis: Extracts key information from calls, which can be integrated and transmitted to enterprise business systems.
Use Cases
Voice surveys: Automates survey data collection, extracting and summarizing results into business systems, improving response rates and data quality while saving resources.
Sales lead follow-up: Engages customers with human-like responses, integrates high-quality voice output, and reduces latency to 1500ms, boosting lead conversion rates.
Highlights
Advanced technology: Leverages Tencent Cloud’s expertise in communications, ensuring stable systems and high performance.
Easy integration: Provides a flexible API interface for seamless integration with existing systems, minimizing technical challenges.
Cost-effective: Reduce labor cost and improve service efficiency and quality through automated service.
