Service Request classification, questionnaire filling and call logging
He reads this and in another application he logs a call. There he has to fill the request type and a number of questionnaires. 


This is a "multi class" classification problem. 

You can start with a library that makes it easy to mix text , categorical and numerical attributes. 

Text : "issue experienced" attribute   (Library should be able to apply NLP on text )
Categorical : "type of request" and similar attributes 
Numerical : "price" and similar attribute (if applicable) 

One such library is : Uber Lugwig 

If you have data in CSV, it should not take more than a few hours to train the model. 

Documentation : https://uber.github.io/ludwig/user_guide/ 

Introduction : https://hackaday.com/2019/02/25/ludwig-promises-easy-machine-learning-from-uber/