Dynamic Response Prediction for Improved Bot Task Processing

摘要

Systems and methods may be provided to predict a response during a communication session with a network device. In some implementations, the systems and methods can facilitate predicting responses using machine learning techniques. Messages received via the platform can be stored in the repository. Machine learning models can be trained using the stored messages. When the terminal equipment is communicating with a network device in a communication session, messages exchanged in the communication session and machine learning models can be used to predict future responses in real time. The predicted future response can be presented at the terminal device. The predicted response can be selected at the terminal equipment. Once selected, the selected predicted response is sent to the network device during the communication session.