Would love to pick your brain because I can relate to what youre saying.
Manage the entire fleet. All tails, flight legs, and crew.
It was for a much smaller US airline but still a household name.
The crew aren't union so that helped. But it was tricky to manage the crew part.
Sadly, it was a people problem, not a tech or algo problem.
Last I heard, the airline scrapped the entire project to continue doing things the old way because they felt it was too much work on their end. ¯\_(ツ)_/¯
If we assume the algo rocks (because you have operations research veterans), what stage of planning does your system address? What is the experience required and cost of manual intervention?
Fun problem. Human factors and edge cases abound. So much is at stake for a system that already works (to any predictable degree).
I'd love to hear more though.
The startup focusses on assigning goods to transport. (As in its not part of the commercial sales process.. only execution of the required capacity planning that comes after it) .Something that has been tried 20 times and failed. It currently is done manually.
So yeah, its going to be a challenge.