The idea behind fleet route scheduling is to choose the best order for a delivery vehicle to complete its deliveries as well as which delivery vehicle an order should be conveyed on. While route optimisation uses advanced map data on average road speeds, commercial risks, and restrictions to calculate and optimise the route in order to ensure that the vehicles travel the most efficient route and save the company time and money.
To develop the optimum delivery route plans quickly, artificial intelligence and machine learning software use sophisticated mathematical algorithms.
Descartes' software will continuously analyse orders as they come in and compare them to the delivery resources and capacity available, as opposed to merely taking a batch of orders that are hoped to be delivered the following day.
This ensures that resources like cars and drivers are fully utilised, taking precise routes, and not being over-committed outside of their normal working hours. As a result, we are able to confidently guarantee to clients their delivery eta using automated notifications, knowing that vehicles and delivery routes are as ideal as feasible with the highest possible delivery density.