Let’s be honest. Supply chain optimisation isn’t the kind of thing that gets people excited at parties.
But here’s what it really comes down to.
You have stuff in one place. Your customers want that stuff in another place. Transport costs money, and service matters because if you’re late too often, they stop being your customers.
Optimisation just figures out the best way to do that without losing your shirt.
A Real Example
We’re working with Kubota right now on exactly this problem.
They manufacture equipment. Lots of it. That equipment sits in various locations around the country. Dealers, warehouses, distribution centres. Meanwhile, customers are waiting elsewhere for the right machine or part at the right time.
In between all of that? Freight bills, service windows, inventory trade-offs, and a whole lot of moving parts.
Our job is to lower those transport costs while keeping customer service high. Not one at the expense of the other. Both at the same time.
We’re plugging AI-driven optimisation into their supply chain to make that happen. And yes, making sure SAP plays along, because nothing in enterprise logistics works without SAP playing nice.
Nothing Fancy
There’s no magic here. Just good maths, clean data, and a solver that can handle real-world complexity without falling over.
We’re not writing a white paper about what’s theoretically possible. We’re helping a client move things smarter, right now, in their actual supply chain.
That’s supply chain optimisation. Not a buzzword. Just work that pays off.
