Comment by artee_49
I think you'll have to pay a team millions to figure that out, it is unlikely to be a static rate but rather decided based on multiple traits like time of year, time of flight, distance of flight, cost of ticket, etc.
I think you'll have to pay a team millions to figure that out, it is unlikely to be a static rate but rather decided based on multiple traits like time of year, time of flight, distance of flight, cost of ticket, etc.
They probably do pay millions of dollars in wages for business analysts to figure out what this rate is on their flights.
They probably just have an SSRS report that prints out in a few dozen offices automatically on some schedule.
I'm not trying to be pedantic but this is table stakes stuff. I know we're supposed to shy away from saying things like this but compared to the other engineering that airlines have to do, this is easy. It costs - at most, including wages - a few tens of thousands of dollars yearly to come up with these figures. It's a fraction of the salary of one United Airlines BA.[0] This cost might go up if one of the senior developers convinces their boss that this needs to be a machine learning model but unless they're resume pumping it's going to be at most PCA and a regression.
This is not a team of people working for months on this one thing.
[0] https://www.glassdoor.com/job-listing/analyst-revenue-manage...
The airline has literally all of the data on this, they definitely do not have to pay a team millions.