Macros are the actions that modify the value of the raised tickets and it is performed by the agents. TextSpace can automatically understand the incoming tickets and can suggest the most relevant macros to the agents that can be applied to the tickets. For all the tickets for which TextSpace model is not confident, it learns from the agents actions as the missed macros examples can be added to the training data and TextSpace would be confident next time when it sees similar tickets.
TextSpace has the option of adding plug and play extraction components. It is shipped with prebuilt entity extractors. These extractors can be used to extract date, time, address, etc. along with custom entities like product code, account number, house number, etc. The options are endless.
These are just a few hand-picked use cases, there are many more. If TextSpace is used with speech to text or text to speech, then you can use it in a much wired range of application.