Great progress has been made in the transformational impact of the Internet of Things on the supply chain. Although the logistics industry is one of the first industries to use Internet of Things equipment for freight tracking, this is only the tip of the digital iceberg. According to Gartner's forecast, there will be more than 26 billion connected smart devices in use by 2020.
The Internet of Things will set off a wave of supply chain reform. Streamlined operations, highly personalized services, new user experiences, and higher security will all be carried out here.
The catalyst for accelerating the adoption of the Internet of Things in the supply chain comes from the intersection of several complementary technology trends, including mobile computing, especially the upcoming 5G network; consumerization of IT; cloud competition; and big data analysis driven by artificial intelligence . Advances in all these areas make it possible for the entire logistics value chain to benefit from warehousing operations to freight and last-mile delivery.
real time monitoring
The value of the IoT supply chain is that it can monitor your equipment, systems, packages and staff in real time, and connect these points. This means that the performance and performance of each node can be fully monitored, and decisions can be made quickly to prevent any problems in the future.
Advanced analysis
A large amount of data collected from sensors and other IoT devices can be analyzed in real time to gain insights that help make decisions about everything from warehouse asset management and product inventory, to shipping locations, ambient temperature, and ultimately retail purchases. The result is that inventory can be automatically replenished and the arrival time of goods can be predicted. It is vital that potential delays or quality control issues can be flagged and acted upon, and any fluctuations in demand can be responded to immediately.
Improve warehouse asset management
In a warehouse, this means that when assets (such as conveyor belts or forklifts) are overused or idle, IoT sensors will promptly alert managers. For example, by establishing a time chart of backlog or idle capacity, managers can reconsider their strategy and Improve the efficiency of the factory.
Smarter inventory management
Also in the warehouse, tags that support the Internet of Things transmit signals from each pallet to the warehouse management system so that inventory levels are always up to date and out-of-stock situations can be avoided. Quality control is another important application of the Internet of Things. For example, when the temperature or humidity threshold of a perishable item is about to be affected, the sensor will send an alert to the manager, and then the manager can take corrective measures immediately.
Predictive maintenance and inventory
Predictive maintenance is another important area of ​​the Internet of Things. Sensors connected to the ERP system can monitor the parts that need to be replaced and automatically send alerts before failures occur or before the equipment runs out of important consumables. This reduces the need to hold excess inventory, helps with maintenance planning, and over time Over time, companies will be able to predict seasonal highs and lows, and increase or decrease inventory levels accordingly.
Transportation visibility
The supply chain supported by the Internet of Things can also fully understand the transportation status of goods, which marks the end of the logistics blind spot. Today, telephone and e-mail communications are still common, and asset conditions are usually only recorded when the goods arrive at a specific checkpoint. At any of these checkpoints, there is no way to know where the truck is traveling, whether the logistics company provides an appropriate level of service, and where the bottlenecks and inefficiencies in the supply chain are.
Using the Internet of Things for real-time cargo tracking and monitoring can eliminate these milestone-based monitoring and tracking solutions and provide automated end-to-end transportation visibility. Connecting enterprise IT platforms to containers and trucks through hybrid sensors, GPS, mobile networks, and the cloud can obtain a large amount of data such as cargo status, geographic location, and temperature, and gain insights into whether these data have been tampered with. Immediate access to this data means that companies can quickly make informed decisions-and preempt or minimize any potential problems. Transportation visibility also allows companies to optimize the supply chain, for example, by optimizing transportation routes to reduce carbon emissions, or to improve cargo safety.
Last mile
Intelligent analysis and real-time alarm notification also mean that logistics companies can fully understand the logistics route and can inform the end customer of each step at any time, thereby improving efficiency. By integrating the monitoring and tracking platform supported by the Internet of Things into the corporate workflow, logistics companies can use tools such as effective route optimization, real-time tracking, and predictive delay calculations. At the same time, mobile applications can ensure that their couriers are able to update information in real time. Pick and deliver goods seamlessly.
Since customers attach great importance to trust and reliability when making purchases, sending tracking information directly to the smartphone app can give them confidence in your service and reduce calls to customer service hotlines.
Final customer feedback
Manufacturers and retailers will also be able to use the power of the Internet of Things to gain insight into how customers actually use their products. This feedback loop will help them improve and expand their products, and provide predictive maintenance services for, for example, electrical products.
A smarter supply chain
In order not to be left behind by competitors, companies now need to integrate the Internet of Things into the supply chain process. The Internet of Things provides companies with real-time, end-to-end visibility and control across the supply chain, as well as higher automation and big data analysis. The end result is that the supply chain process has been fundamentally improved, allowing companies to reduce costs by improving efficiency and using data analysis to make more informed decisions around a large number of new market opportunities.
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