Sertrans Blog - Big Data in Logistics
The logistics sector, which is rapidly digitalizing, turns millions of
transactions into digital data every day. Companies that process digital data
in all areas from shipment operations to storage operations, from value-added service
types to end-point deliveries must have the capacity to process big data. The
use of big data is very important for analyzing all these operational data,
optimizing the benefits to be provided, improving the customer experience,
reducing operational risks and creating new business models.
Big Data and Its Role
With the development and advancement of technology, the power of
information has become clearer today. However, many information clusters in the
internet world have turned the internet into an information dump. Software
companies, on the other hand, envisioned extracting meaningful data from this
information dump, and directed their R&D studies to this area. And the
concept called "Big Data" has emerged.
Although Big Data is thought to be data that takes up too much space on
any disk, the situation is actually different. It is the processing and
conversion of data obtained from different sources such as all the shares of
any account on social media, photos and videos on their smart devices and data
files that are constantly recorded.
The examples of big data usage that find its place in many different
sectors are striking. For example, big data, which is actively used in the
retail sector, offers many advantages both in the field and on the digital
platform. Customer-oriented links added to digital visibility and e-commerce
sites are a factor that shorten the distance of consumers to the store. In
other words, analyzing big data ensures the sustainable success of brands in
both digital and field environments. As a matter of fact, the statistics show
that businesses that use big data effectively in the retail sector make a
profit of close to 60 percent.
The automotive sector is also among those who actively use big data.
Companies analyze large data sources that contain production, sales and other
incentive initiative information at all sales levels in the last 25-30 years.
Thus, accurate and healthy information can be obtained on future sales, price
policy estimation and all kinds of parts supply. In addition, making all these
studies focused on digitalization and innovation provides companies more
competition and cost advantage.
Using Big Data in the
A large amount of data flow is generated from barcode scanners, GPS,
software systems that manage operations, telematics, RFID readers and
positioning systems in vehicles, which are actively used in the logistics
sector. Therefore, the logistics industry must transform to make better use of
the big data concept. If you want to summarize the topics that the logistics
industry uses about the use of big data, the following can be said:
Concepts such as real-time location optimization, address verification,
shift planning, real-time analysis refer to the collection of data that must be
reached in order for the entire operation to pass efficiently. In this context,
many parameters such as the routes of the vehicles used, the intersection points,
the correct definition of the address to be delivered through geographical
coordinates, supply chain and logistics capacity planning can be given as
Forecasting external risks such as transport mode, maintenance
requirements, delivery routes, road and weather conditions, and predicting what
is required with algorithms is extremely important in terms of risk planning.
One of the priorities of the logistics industry is to anticipate customer
expectations. In this context, it is important to determine what, when and
where customers want, to create solutions and act accordingly. Big data should
be used in the logistics industry to identify customer segmentation, optimize
interactions and understand customer needs in the future.
Logistics companies that can use big data effectively and reach
comprehensive information about their customers can both increase service and
product quality and develop their customer portfolio. For example, when working
with the system called Data Visualization, customers can track the delivery
schedule and location in real time with the help of mobile devices. This can
solve the "obligation to wait at home for the cargo package", which
has become one of the biggest problems of customers.
Big Data Future
The issue of storing and processing big data promises innovations for
every industry. In this context, sectors that can access big data and use it
correctly will be able to manage their operations much more efficiently. Companies
that can predict which product their customers will want to consume at what
time intervals, the frequency and intensity of consumption, can achieve great
success by including the concept of big data in their strategic plans.
In summary, regardless of its size, every sector that considers the
concept of data as a strategic asset will survive and develop. The important
thing is to accept this transformation as soon as possible. Sertrans Logistics
is a logistics company that attaches importance to digital-based R&D
studies. The advanced R&D center of Sertrans, which digitizes the operation
processes, always creates new technological products and aims to do value-added
works regardless of the sector, is fully ministry approved.
You can also get ideas from Sertrans's inspiring projects to determine
your internal dynamics in all processes of your industry and logistics,
determine your future needs, and offer a solution-oriented approach to your