The term big data, as the most well-known expression of large-scale data, has started to be mentioned more and more every day. One of the biggest reasons for this is the growth of IT infrastructure and the development of connected technologies.

As an example, cloud structures, i.e., new generation online storage technology, can be given. Along with cloud systems, the increase in both storage and information dissemination speed has triggered the widespread adoption of big data.

(Global IP data traffic – 2016 to 2011 projection)

Today, with the increase in stored data, making sense of this data has become a branch of science, and already master's and doctoral departments have been opened in many universities under the title of "Big Data Science and Analysis".

Big companies have already started to make sense of every piece of data produced and plan their roadmaps and plans accordingly. In this way, they shape their future by making production planning, supplier processes, and many managerial decisions.

Let's look at how big data is transforming the logistics industry; actually, the data generated in the supply chain is much more than the data generated in other sectors. Although the percentage share of the logistics sector in GDP is on average 12%, as data, 25% of the data generated per second worldwide is directly or indirectly generated from the logistics sector. At this point, it is possible for a sector that is intertwined with data to make a lot of sense out of this.

To give concrete examples of these:

• Tracking the material inside the container with IOT technology and sharing the data generated there with the buyer and seller: making sense of situations like potential damage, fatigue, deterioration, etc.

• Analyzing historical traffic data to carry out route and distribution optimization.

• Taking precautions for the peak season problem: protecting against extreme and seasonal price increases by supplying necessary equipment and booking in advance.

• Scheduling the periodic maintenance of vehicles.

Many fundamental issues like these can be addressed. In fact, if we go into more detail, even data that will directly affect other sectors, such as annual tire changes and tire requirements for heavy vehicles, can be interpreted within the logistics sector.

In summary, processing and polishing this ore in the hands of the logistics sector should be one of its biggest goals. As Navlungo, we store every piece of data we obtain and try to make sense of it.

As Navlungo.com, we understand customer demands and expectations by iterating with this data and we try to improve our service quality day by day.

With my respects and love.