Abstract: A method to be implemented via execution of computing instructions configured to run at one or more processors and stored at one or more non-transitory computer-readable media. The method can include determining, via a source-departure-prediction machine learning model, a source departure time for a delivery route to one or more stops based at least in part on a load ready time. The source-departure-prediction machine learning model can include a first model and a second model. Determining the source departure time further can include using the first model to determine the source departure time, while not using the second model, when a commodity type of the delivery route is of a first type; and using the second model to determine the source departure time, while not using the first model, when the commodity type of the delivery route is not of the first type. The method additionally can include determining a respective transit time for each of one or more legs for the delivery route.