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CargoSmart Launches CargoSmart Connected Reefer Solution SAIOT

Logistic News - Published on Fri, 29 Nov 2019

Image Source: CargoSmart SAIOT
CargoSmart Limited announced its brand-new CargoSmart Connected Reefer Solution, a one-stop reefer cargo management solution for ocean carriers and shippers. The AI and IoT-enabled solution features end-to-end information transparency, including enhanced reefer container Pre-Trip Inspection support, real-time container status monitoring updates, and predictive cargo arrival status. It allows carriers to offer best-in-class performance to shippers with lowered operating costs. It has been proven effective and efficient. COSCO SHIPPING recorded substantial savings in reefer container PTI costs after adopting the solution, while reefer sales increased during the same period.

CargoSmart Connected Reefer Solution is a leading product under CargoSmart’s AI-driven IoT product series for supply chain management, named SAIOT, Supply-Chain Artificial Intelligence Internet of Things. The solution is powered by an IoT device that was co-developed by CargoSmart and Shanghai Maritime University. The device is equipped with built-in multiple sensor capabilities including the detection of container temperature, humidity, location, environment, motion, shocks, and impact.

Leveraging AI and IoT technologies, CargoSmart Connected Reefer Solution intelligently identifies any deviation or disruption from the container and diagnoses whether it is a result caused by a normal or abnormal operation event. In the event of an abnormal exception, the solution triggers a smart alert to the carrier or corresponding cargo owner for immediate response, minimizing the risk that might impact cargo value. The feature successfully reduces 97% of false alarms, which enables users to maximize their resource allocation and reduce the time spent on investigating exceptions.

To further improve shipment visibility and lower risk, CargoSmart Connected Reefer Solution projects the latest ETAs through AI based on real-time locations, historical patterns, vessel ETAs, traffic conditions, and road regulations. The AI model improves the door arrival time prediction accuracy by over 40%, which enhances customers’ shipment delivery status visibility to ensure better time management and reliability for shipments to be delivered in optimal condition to consignees.

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Posted By : Yogender Pancholi on Fri, 29 Nov 2019
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