Predictive (algorithm) report based on historical corrective maintenance data

I have a .NET web system (maintenance management system), I currently have the corrective maintenance module (incidents), and 6 months data of the system implemented in airports. What I need is a predictive report based on that data. For example: Columns of the data: (1000 records) Date of incidence, airport, number of flights, type of equipment, family of equipment, type of observation, cost, status, duration, date of resolution ... Prediction / projection: How many incidents of each item or equipment will I have next month / quarter / year per airport? I require this report to be web: web service to which I send the information and return the prediction, and client side (.Net + JS) build the report and filters. You can use algorithms or a service (AWS) in the cloud or what you propose.