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4 Top Applications of IoT in Logistics

The Internet of Things (IoT) has tremendous potential to change the structure of the logistics industry and supply chain from a linear process to a seamless, data-driven system. By enabling innovation, communication, and an improved customer experience, IoT can transform supply chains and logistics into truly digital assets. fills in the gaps and creates a seamless, predictable, and enormously more efficient supply stream.


Fleet Management

The first use case of IoT in transportation and logistics is fleet management. Thanks to sensors and devices embedded in the vehicles, we can gather information about the condition of the vehicle, the amount of fuel, or driver behavior. Monitoring the condition of important parts of vehicles like tire pressure, coolant level, and so on can minimize the number of unexpected failures. Having real-time access to this data makes maintenance a lot easier and more effective.
This type of smart fleet management system is used by UPS. They developed a monitoring system that collects data from GPS and IoT sensors to minimize the number of fixes.
Another way to use in logistics is by installing sensors and devices responsible for maintaining the right temperature and humidity conditions within the truck. It’s extremely important when transporting foods and medicines. gives the advantage not only based on the real-time knowledge of the situation. Many devices control the situation and correct it when it’s not meeting the standards.


Supply Chain Management

Before a product gets to its final destination, it goes through a whole process of shipment. When millions of different goods are changing locations at the same time, it’s difficult to manage them efficiently. Thanks to IoT sensors, the whole process can be much more effective and error-resistant. in logistics can give real-time data on the location of goods and identify whether there was a theft or the shipment has been delayed.
From a sales perspective, it’s crucial to have access to the highly demanded products that sell quickly.
Using in supply chain management can help manage demand and plan the amount of goods being produced, ordered, and shipped efficiently. The whole process can be optimized to minimize costs and maximize profit.
For example, Volvo is using IoT technologies to order parts from different countries and ship vehicles to suppliers.


Predictive Maintenance

Machines are the key to every warehouse and every logistic center. That’s why preventive maintenance has become more popular. The regular way of maintenance planning is by the age of a machinery. It has been proven to not be an effective way since most errors happen randomly. capabilities allow searching for patterns and repetitive scenarios to predict issues. It collects previous and real-time data and processes it to identify possible future errors.
Using in predictive maintenance is a great way of using IoT in logistics. It helps to maintain the right condition of all devices and systems. has digital twins included; they don’t only analyze the object and the changes within the system. It is also used to analyze and predict the impact on the business and financial situation. Many companies are improving the effectiveness of their supply chain thanks to digital twin analysis and integrated time series analysis.


Tracing and Tracking Goods

Making sure the goods are in the right trucks and on their way to the right warehouses, etc., is crucial in transportation and logistics. Tracking deliveries manually or semi-automatically also takes a lot of time and resources and is very error-prone.
As an example, IoT sensors like RFID (radio-frequency identification) or AIDC (automatic identification and data capture) are great methods to track your goods and manage them properly.
RFID uses radio waves to determine the position of goods based on implemented microchips. These tags can transport information not only about what the product is and where it is but also about where it’s supposed to be shipped, stored, moved, and even when they reach each other.
The biggest advantage of RFID over traditional scanning is that it is done wirelessly with ultra-low energy. Moreover, data can be transported onto using IoT edge systems in real-time. With the integrated time series and unlimited storage (upgrade plan), access to that information is possible at any time. As example, Decathlon is using RFID and IoT edges to track the delivery of their products to their stores all over the world.

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