Route optimisation is the process of finding the best route for delivery drivers to take a package from A to Z (including complicated multi-stops, factoring in a multitude of variables and constraints) as quickly and cost-effectively as possible. This doesn’t necessarily mean finding the shortest route. It’s more so focused on minimizing the total driving time when making any number of stops, factoring in a bunch of variables including:
- Delivery time windows
- Vehicle load capacity (weight and/or volume)
- Driver schedule
- Driver proximity and/or hub location
- Traffic congestion
- Accidents on the roads
- How far the different stops are from one another
When done manually, finding the best routes is a tedious (and near impossible) process. If you have just a few vehicles with 10 stops each, there can literally be millions of different route possibilities.
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