Electronic commerce
cannot be understood without the evolution and development of today's commerce
and modern logistics. Big data, artificial intelligence or robotics have a
large number of applications in this sector, and this affects and will continue
to affect how goods reach their destination.
The digital
transformation of these sectors together with the new information society
requires an increase in the volume of transport of goods and people. For this
reason, it is necessary to enable new methods and functions for both employees
and users, as the current infrastructure is working to the limit.
Big data and
real-time information in the transport sector
Information is
available to you at any time and constantly arrives. In the transportation
industry, you have strong analytical and computational capabilities, which
means further optimization and incredible cost adjustments.
Big data, the
Internet of Things or the Internet of Things and the cloud offer you a complete
view of the value chain. Real-time information about routes or the state of
transport and other information that can affect the cost (traffic conditions,
weather problems, accidents or other incidents) is received. Thanks to him, you
can instantly react.
The information can
then be analyzed along with its supply and factors such as demand for services
in specific geographic regions or at specific times. This will enable you to
make decisions that will increase the company's productivity and efficiency
while lowering costs.
Modern technologies
offer you solutions to reactively adapt resources or routes themselves, as they
can anticipate potential problems or opportunities.
Smart Transport
and the Internet of Things
The production of
the Internet of Things and wearable devices is revolutionizing the logistics
industry. It is possible to connect goods and people with the environment and
collect information in real time. This allows structures to have impressive
levels of intelligence and automation.
For example,
beacons and sensors at airports are designed to improve customer management,
measure their travel, the time they spend on certain tasks, and bottlenecks at
various stages of their journey.
Thanks to location
technologies, freight transport has changed a lot. In fact, the goods can be
tracked in real time from the warehouse until the buyer receives the package in
their hands.
Smartphones are
almost irreplaceable and this has changed society because now users have
hyperlinks, which makes them very demanding. They want to know when the next
bus will pass and what time their package will arrive. It is, among other
things, the data most valued by customers with good transport services.
This broad
connectivity is an opportunity that is reflected in the various models of the
collaborative economy, which of course are also adapted to logistics and
transport. Some of these concepts are collective parking, car as a service, or
car sharing.
Trends in the
digital transformation of the transport and logistics sector
Despite all the
changes that have occurred in recent years, the implementation of technological
advances has been slow. This means that in the future you will witness a
revolution and a complete transformation in the logistics and transport sector.
Challenges of
the new transport paradigm
It is necessary to
distinguish between the different degrees of digitalization and modernization
that exist in the world of transport and in the logistics sector in general. In
the first case, the penetration of ICT is much lower.
The heterogeneity
of the companies in this sector is probably the main problem that needs to be
modernized. Small and medium-sized family businesses are mixed with large
multinationals, public and private companies. This slows down the pace of
adoption, especially in those smaller companies that have not had to face undue
problems with traditional planning until now.
The introduction of
these new technologies can bring very interesting benefits to the company.
These profits are not only limited to the efficiency of the service or its
profitability, but also affect customer satisfaction and attitudes.
Incorporating profiles within companies with digital skills and talent themselves
will be critical to achieving a complete digital transformation of the sector.
At the regulatory
level, there is a very important hurdle that needs to be overcome because
autonomous car technology or some business models based on a collaborative
economy are not subject to current regulations. This raises questions about the
acceptance and instability of some traditional business models.
In conclusion, it
is important to create a regulatory framework that allows traditional business
models to coexist with new models and to adapt to technological advances in all
sectors.
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