I would like to distribute tasks (going to companies and signing a deal) to sales representatives based on some condition like company location (is it near the representative's place) or profit of the deal. In such a way that every sales reps are assigned equal tasks and profit gains. What algorithm can I use in Py? Any reference examples would help.
$\begingroup$
$\endgroup$
2
-
$\begingroup$ Are you trying to improve a series of tasks or just tasks independently? $\endgroup$– Nicolas MartinAug 30, 2022 at 17:55
-
$\begingroup$ This is certainly an optimization problem, genetic learning is usually a good direction. You will need to specify the problem and define an evaluation method, it's not going to work out of the box. $\endgroup$– ErwanAug 31, 2022 at 9:46
Add a comment
|