I have temporal data regarding the number of customers who requested a specific service in a given period (month and year). Below is a small excerpt from the dataset:
- Month-year: month and year when the service has been requested/offered
- Service Description: the tipology of the service request by the customer
- occurences: how many times the customers in that period requested that service
I have monthly data from 2003 to 2020 and I would like to carry out a predictive analysis to predict the number of events from 2021 to 2023 and also predict the type of services. For the first I know that I have to face the problem using the analysis of the time series, I have doubts about the second part ... how to predict the type of service in addition to the number of requests? Can you give me some suggestions?