A Connected Ecosystem for Logistics Industry with IoT
Kajal Pawar
3 years ago
Table of Contents
Introduction
4 Pillars of a Connected Logistics Company
1) Software systems
2) Inventory tracking and warehousing
3) IoT and Predictive Analysis
4) IoT enabled trucks
Introduction
Logistics, transportation and
warehousing (supply chain management overall) are the first movers in the space
of connected devices which can sense and ‘communicate’, long before the term
‘IoT‘ was even coined.
Movable assets like shipment vehicles
like trucks and ship vessels are
becoming a crucial part of the IoT network and leaving a long-lasting
dent on the logistics and transportation industry.
Along with warehousing both these
industries were the primary movers to
embed connected systems even before the term “Internet of Things” was coined.
This early adoption has enabled these sectors to flourish and further empower
other industrial segments to revamp their supply chain management and other end-to-end
processes.
These days just moving things
from one point to another is not the only thing required in the logistic
business. Because of high competition and multiple challenges, the main focus now
is made on customers, meeting their needs and expectations.
The top-priority and objectives of logistics
companies are shifting to ensure
just-in-time delivery, supply chain visibility, product lifecycle transparency
and quality services. Efficient inventory management and warehousing,
automation of internal business processes, fast delivery and taking care of safe
storage and quality of goods are the keys factors for a successful logistic
companies.
IoT is making supply chain
management less challenging and more efficient, with the help of Iot now companies
can move beyond the imagination. In fact, logistics is one of the primary
sectors to embrace IoT with such an open heart. With the ability to improve
operational efficiency and enhance revenue opportunities, IoT has the power to
revolutionize the supply chain sector within the next few years.
4 Pillars of a Connected Logistics Company
Obviously the connected the logistics market isn’t just about the Internet of Things in the strictest sense
but about the overall ecosystem which we typically see in an integrated Internet
of Everything approach. So, services, security, the cloud, big data analysis
and several other third platform technologies are also included in it.
As we discussed, the logistics the sector has been using connected infrastructures even before the term IoT came
to the surface. This connected ecosystem was developed due to the need for the
logistics sector to track their delivery vehicles (especially trucks) from
remote locations and ensure timely delivery of the shipment on the required destination.
Due to this need, four major
aspects or systems of the logistics industry were revamped that are now
considered as its four major pillars. They are:
1) Software
systems:
It includes both ‘connected
logistics’ cloud and on-premise solutions, which can be integrated with
logistics applications and ERP (Enterprise Resource Planning). It’s clear that,
just as in the case in virtual industries, there is a shift towards cloud computing model and intelligent systems
such as intelligent ERP.
2) Inventory
tracking and warehousing
One of the most important part
of the connected logistic system are Inventory management and warehousing. The small
inexpensive sensors will allow companies to make smart warehouse system by
easily track inventory items, monitor their status and position and create a
smart warehouse system.
The employees will be able to
prevent any losses with the help of IoT technology by ensuring safe storage of goods, as well as
efficiently locating an item needed. By now, almost all logistics companies
have already adopted such IoT solutions in their work. The minimization of
human errors also becomes possible due to IoT.
3) IoT and
Predictive Analysis
Internet-enabled
devices collect a large amount of data and transmit this data into a central
for carrying out further analysis. IoT and predictive analysis can be applied
for the route and planning of delivery as well as the identification of various
defects before any malfunctioning. These results are a timely replacement of
the machinery parts, preventing any kind of crashes and an efficient
vehicle/equipment maintenance
4) IoT enabled trucks
Things like condition inside the container,
remaining fuel in the vehicle and how long till a new set of tires will be
required can all be monitored by using connected sensors using IoT. Required container conditions can vary
widely by the product being transported, and having sensors reporting back to a central location allows for remote monitoring to ensure whatever is inside is
delivered in peak condition. Wear and tear on trucks is huge and variable the expense for trucking companies; the ability to perform predictive maintenance
based on the data collected from these IoT sensors allows unexpected downtime
to be drastically reduced. Using the sensors you would not be required to do
monthly maintenance of trucks or rely on human intervention to tell if the
truck needs repair or not, this will allow reducing time in and delay in
shipping due to unwanted breakdown of a truck in the middle of the process., while at
the same time minimizing the impact on the rest of the fleet. And real-time
location monitoring, combined with predictive analysis performed by AI, means
routes can be adjusted automatically and trucks rerouted according to weather
patterns, fuel costs, or other potential disruptions.
I hope you enjoyed reading this article and finally, you came
to know about A Connected Ecosystem for Logistics Industry with IoT.
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