Terminal transportation can be optimised with great gains to be had

There are plenty of challenges to take on when it comes to the optimisation of logistics. To name a few, there’s the climate crisis, the global supply chain crisis, increased flow of goods, record-setting fuel prices, labour shortage, and so on. Some of these challenges can be met by optimising your cargo capacity even further, so you carry more goods in every truck and ultimately need fewer drivers. And every penny saved is a penny earned.

There are many areas you can focus on: transportation of goods between the point of manufacture and distribution terminals (hub-hub), including transport of semi- or finished goods from point of manufacture to intermediate storage points or all the way to the distribution terminal. 

Many carriers might be of the opinion, that their transportation of goods and cargo is already fully optimized using every known technique and tool. We think there’s always room to improve. The goal is to get the wasted space found in every truck’s cargo area, so we can avoid empty runs and carrying surplus pallets between locations. If you can also reduce your need for storage space and time used to arrange, load and unload, that’s an added benefit. With SpaceInvader’s pallet racks, you can prepare all of your cargo directly on the dock and are thereby able to handle and move the fully optimized cargo throughout your value chain – all the way to the end destination, in fact. You can also stack fragile, dangerous, or particularly valuable cargo. That way you use more of the space in your cargo area. Same goes for cargo, that you normally wouldn’t stack. You’ll find that only a few double-stacks are needed before you see real tangible results on your bottom line and a reduction in your emissions. 

We’ve written a casestudy which provides some insight into hub-hub optimisation with SpaceInvader’s transport system, and explains how you can optimise your capacity through SpaceInvader double-stacking. We hope you’ll have a read. 

Download casestudy: