Samsung SDS introduced AI-based logistics innovation trends and response strategies at the "Cello Square Conference 2026," held at the Pangyo Logistics Campus on the 2nd.
Oh Gu-il, head of the logistics business unit at Samsung SDS (executive vice president), identified automated control towers, the rise of the Digital Twin, and the expansion of expense-based decision-making as the three major logistics trends in his keynote address.
An automated control tower is an intelligent operating system that integrates data across the entire supply chain—production, transportation, and inventory—in real time and detects and responds in advance to anomalies such as demand fluctuations and transport delays through AI-based analysis. Based on this, corporations will shift to operations that combine forecasting, preemptive responses, and autonomous decision-making, according to Oh.
The importance of Digital Twin-based simulation was also emphasized. A Digital Twin refers to a "digital twin" that replicates real-world objects or systems exactly in a virtual space. Samsung SDS said the use of Digital Twin simulations will expand further to quickly review a range of alternatives that can respond to variables arising in actual logistics operating environments and to derive the optimal plan.
There was also analysis that decision-making centered on "total expense," which reflects various variables—such as carbon emissions, supply chain risk, and the opportunity expense of cargo in transit—in addition to traditional expenses like transport costs and tariff, is expanding.
Oh Gu-il said, "Samsung SDS plans to combine abundant field data with advanced AI technologies to help customers make quick decisions and build resilient supply chains."