Provides tools and online operation interfaces to accelerate knowledge base building, knowledge mining, and model training.
Uses industry-leading AI algorithms and Natural Language Processing (NLP) algorithms and deep learning utilities to build the core engine.
Enables bots to learn and train themselves based on user feedback. The more the bots are used, the more accurate they become.
Provides a full-lifecycle management interface for the knowledge base. You can add, delete, modify, and query knowledge bases, and manually debug the bot algorithm model.
Automated, highly accurate handling of customer questions across a wide range of scenarios, such as after-sales support, questions on use, and troubleshooting. Bots can handle anywhere from 30-80% of the questions depending on the situation, saving you big on labor costs.
Improves productivity and customer satisfaction with real-time analysis and helps on improving the interaction between agents in the call center and customers. During a call, the bot automatically extracts keywords, coils problems, searches for and displays the best answers to matching semantics, and provides real-time support for agents.
Builds product knowledge bases in robots to automatically answer questions from potential customers about products and services and can even be built to explain product features and provide comparisons on related products.
Provides capabilities such as question answering, similar question mining, search tips, and seamless switchover to manual service with leading AI algorithms.
Provides domain knowledge mining and knowledge base building experiment platforms to add intelligence and convenience.
Collects and analyzes operation data, collects statistics on hot issues, and explores trends with the data collected and analyzed by the bots.