An AI and IoT-enabled reefer cargo management solution for ocean carriers and shippers has saved on pre-trip inspection (PTI) costs
Leveraging AI and IoT technologies, CargoSmart’s Connected Reefer Solution identifies any deviation or disruption to containers and diagnoses whether the disruption is caused by a normal or abnormal operational event.
COSCO Shipping general manager Li Dong said that his company recorded a significant cut in pre-trip inspection costs during their pilot test with the solution.
“In addition to heightened visibility to reefer cargo status, COSCO Shipping replaced manual PTI with AI-enabled PTI, bringing significant enhancements in cost-efficiency savings as well as reefer management capabilities.”
In the event of an abnormality, the software triggers a smart alert to the carrier or corresponding cargo owner for immediate response. CargoSmart claims the feature reduces 97% of false alarms.
Using AI, CargoSmart’s software projects ETAs based on real-time locations, historical patterns, vessel voyage patterns, traffic conditions and road regulations. CargoSmart claims the AI model improves arrival time prediction accuracy by over 40%.
CargoSmart chief commercial officer Lionel Louie said the technology brings “real-time cargo status visibility, empowers more accurate and responsive planning, and significantly drives down operation costs for carriers and shippers.”
The reefer container management software is part of CargoSmart’s suite of AI-driven supply chain management tools, named SAIOT (Supply-Chain Artificial Intelligence Internet of Things). The product is powered by an IoT device that was co-developed by CargoSmart and Shanghai Maritime University, equipped with built-in multiple sensor capabilities including the detection of container temperature, humidity, location, environment, motion, shocks, and impact.