Sales and Marketing
Addressing customers and communicating with them can be optimized with various predictive methods (predictive AI). For example, customers willing to migrate can be identified based on patterns and the right offer can be made at the right time in order to reduce churn rates using AI. On the basis of these patterns, the customer approach can be optimized and automatically individualized across channels in sales and marketing by machine learning from behavioural patterns.
Speech and text recognition facilitate and accelerate communication. In addition to dispatching requests by recognizing the request (intent recognition), intelligent agents handle the processing of entire requests. One of the most common application scenarios for artificial intelligence in service is chatbots.