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We live in a complex global world. No industry represents this complexity better than logistics and transportation. Most modern goods travel thousands of miles, changing hands, before they reach their final destinations. Smart logistics solutions have the power to transform the modern supply chain as we know it. The industry can visualize and manage critical goods from anywhere, at any time, on a global scale.


Traditional supply chains face challenges at every step. The logistics industry has long needed a smart, modern solution. The Internet of Things (IoT) could hold the answer. By providing essential visibility of goods in transit, IoT provides visibility, agility and streamlines operations. IoT enables real time cargo monitoring and tracking.


As our global economy becomes even more complex and interconnected, the logistics and transportation industry must be at the forefront of innovation. Now, logistics manager is alerted upon critical cargo or shipment information: temperature change, unexpected vibrations, a change in shipment planned route to destination, delays, or any other unexpected parameter.


There are various use cases of IoT and artificial logistics (AI) in logistics: vehicle monitoring, fleet management, inventory tracking, supply chain management, sensitive good monitoring, and many more.


Predictive analytics uses a mixture of analytics methodologies, combined with automated tools and technologies, to find patterns within data. Organizations can use predictive insights for supply chain and logistics in many ways: predict supply and demand, more accurate lead time, smart inventory management based on goods demand analysis.

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