If you have a fleet where every vehicle is pretty much the same with the same capacities, features and fuel economy, choosing the ones to use every day is a simple matter. But if you have different types of vehicles available, the question is how to choose the best set of vehicles to minimize the number of vehicles used and simultaneously minimize the total miles driven.
As we move into a new decade, there is a lot of talk about process automation and what it can do. Let’s look at process automation in last mile logistics solutions that use some type of an AI driven assignment process.
Artificial intelligence is a very powerful thing. Using machine learning, an application that finds optimal solutions for last mile supply chain problems can produce a very cost effective set of routes in a very short time. The problem with many applications is that only the one “best” solution is offered to the user.
I always find it interesting to see what others are saying about the benefits of Artificial Intelligence in providing last mile delivery solutions. The two that are always mentioned are that it takes a lot less time to build the routes and that the routes that are produced are much more efficient. But one thing I have not seen mentioned is that AI can be used to increase driver satisfaction as well.
As we move further into the 21st century, we see more and more AI around us. My car tells me when I am leaving my lane and will brake if the car in front of me stops. So, why does finding a cost effective solution for routing pickups and deliveries take so long? To start, we need to look at what AI does.
Today I saw that McDonald’s purchased an AI startup with the intention of using their voice recognition technology to improve their ordering process. With Artifical Intellegence everywhere, it may time for smaller distibution and delivery businesses to consider solutions that could improve their last mile processes.