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Samsung SDS Unveils Next Generation Logistics Service ‘IoT Cello’
IoT-based Logistics
Samsung SDS Unveils Next Generation Logistics Service ‘IoT Cello’
  • By Cho Jin-young
  • March 24, 2017, 02:45
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Kim Hyong-tae, vice president of the SL Business Division at Samsung SDS is delivering a welcoming address at the Cello Conference 2017.
Kim Hyong-tae, vice president of the SL Business Division at Samsung SDS is delivering a welcoming address at the Cello Conference 2017.

 

Samsung SDS announced that the company held the “Cello Conference 2017” under the theme of “Navigating the Next Wave of Logistics” at the Samsung SDS’s Pangyo Campus on March 23. The Cello Conference is a specialist logistics conference which has been held by Samsung SDS since last year.

In particular, at this year's event, Samsung SDS unveiled the Cello IoT (Internet of Things) service and announced a case of streamlining logistics through prediction of the demand based on machine learning.

Samsung SDS explained that it introduced the Cello IoT service based on its experience of logistics operation, consulting and system development. According to Samsung SDS, the Cello IoT implements smart logistics service by collecting information at logistics sites, which was done by people, through network-based IoT sensors.

The service also enables the monitoring and management of the cargoes, the detection and prevention of risk, and the real-time tracking of transportation vehicles and individual cargoes. In terms of logistics, the service can sense storing space by sensing empty spaces of warehouses and ports among others, optimizing delivery routes, energy efficiency management, and the detection and resolution of troubles.

Samsung SDS also introduced the Cello demand sensing function, which was developed through the application of the algorithm of its own Big Data Analysis Platform named “Brightics.” The company also made a presentation on cases where the Cello demand sensing function predicts the sales results of overseas distributors, analyzes promotional effects and provides optimal demand forecasts to distributors, thereby scaling up the efficiency of the entire supply chain.