Despite the fact that ten years have passed since the logistics industry met with digitalization -as of 2021- it started more talked with the Covid epidemic. Medium-sized (25-249 person) logistics companies that shredded the local market in the pre-Covid period did not see much risk of their dominances being harmed, and the freight that increased exponentially with the Covid had already reinforced this situation. These days, when the logistics consumer who is afraid of not being able to find a place, feels unclaimed, large and multinational companies have already targeted medium-sized companies with artificial intelligence-supported algorithms.

In 2018, IBM and Maersk started a new organization called Trade Lens, which would gather all the stakeholders in the transportation ecosystem around a blockchain, prevent losses in processes and ultimately reduce carbon emissions- of course, they did not declare such a lofty purpose-. So what was meant by reducing losses in processes then? We will give the cargo delivery document directly to the customer. If there is no NVOCC in the meantime, the profit will disappear, and the consumer will have the product with a more affordable cost? Or do we take his profit? You don't even need a customs broker; Could we submit the documents requested by the states directly from the platform? They began to gather supporters and data to strengthen their arguments and the platform, and as this data accumulated, the path to the final goal became clear. When there was enough data for algorithmic measurement; the door opened by itself. They knew that Facebook, Tik Tok, and Google had accomplished this.

So what if the primary goal was not to reduce carbon emissions? What could be achieved by creating a dependent supply chain? For example, the West's desire to slow down China is not a secret phenomenon; Would increasing container freights by 10 times slow China down? Maybe. When it comes to the question of whether artificial intelligence-supported data algorithms could affect freight rates to this extent, I say yes. Artificial intelligence-supported algorithms are learning more and more, and as they learn, they develop their domains.

The most effective weapon they use to continue this is; Another algorithm that makes us think they are unbeatable.

I am not against organizations like Trade Lens but once these boxes are opened, they will never be closed. What we need to do is simple; develop our own algorithms. We use measurement with algorithms in Frigian, to give an example, we create an index for each platform user NVOCC, we include approximately 130 thousand data cells in our calculation creating this index. This gives us the opportunity to chart “How are things?” and easily see if the changes we planned to meet our expectations.

Early starters will always be small businesses, medium businesses will join when they realize the risk is absent or the benefit is great. Gathering small businesses around platforms where they can collaborate, recording, counting, and making sense of every drop of data is the only way to combat the algorithm. Isn't flying in packs the starling's algorithm for survival? And they also give us a great air show.