Route planning effectively requires a tremendous amount of data consideration, including real-time information, to provide the best possible output. Traditionally, planners will creat lanes or segments based on regular delivery points, but these routes are often less efficient due to the number of variables that need to be considered and may change frequently such as product types, stacking rules, customer delivery hours, how many hours a driver can operate without rest. Surgeship accounts for all of these variables and more when performing route optimization. To learn more about this topic, Martin Murray has an interesting post here.
AI modeling to create optimized routes
