Data: a common denominator
In logistics, there are currently a lot of hot topics which seem to be completely different from one another. For example: AI, automation, blockchain, and green logistics. But they do have a common denominator: data. All improvements mentioned above rely heavily on data. No matter if you’re automating processes, using blockchain for supply chain transparency, or deploying AI-driven solutions, the quality of your data will determine the success of these initiatives.
How do you know if upgrading your entire transportation fleet for greener logistics actually pays off, both environmentally and financially, if you don’t have quality data about current, estimated and future fleet operations?
Before implementing an initiative, you need to know what the estimated benefits will be. This needs to be measurable, transparent, and put in ink, e.g. to convince stakeholders. After implementation, it’s even more important to follow up with measured data and compare expected and actual outcomes.