1. Understanding and supporting interruption based on natural language: through big data analysis, an intelligent decision-making feedback system is established and a language model adapted to business scenarios is trained.
2. Manual transfer: through semantic recognition and processing functions, real-time tracking of customer intentions, automatic transfer and manual follow-up can reduce the probability of customer churn.
3. Customization: The product adopts modular software architecture, which can quickly build customized modules to meet the needs of different business scenarios.