Does the algo work? Is it better than the status quo and under what circumstances is it susceptible to failure? Does it know when the whole system is over-constrained?
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).
The algo works. We have two algorithmic experts onboard, of which one is a professor and one is already working with algos each day (e.g. worked on patients/beds capacity challenge when covid began).
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.
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.