Posco Flow: "Company-wide AI Transformation System to Be Completed by 2030"

'Logistics Industry Review and Outlook' Seminar Held

Posco Flow announced on the 28th that it has presented a core strategy to internalize 'Agentic AI' in the logistics industry AI transformation, which enables autonomous judgment and action rather than simple automation.

Posco Flow announced on the 28th that it has presented a core strategy to internalize 'Agentic AI' in the logistics industry AI transformation, which enables autonomous judgment and action rather than simple automation. Posco Flow

On the 27th, Posco Flow held the '2025-2026 Logistics Industry Review and Outlook' seminar in partnership with the logistics-focused media outlet Logistics Newspaper, where government, industry, and academic experts discussed the direction of logistics industry policies and technology strategies in response to changes in the internal and external environment and the launch of the new administration.

Agentic AI refers to artificial intelligence capable of setting its own goals, perceiving its environment, making autonomous decisions, and taking action, thus playing an active and independent role.

Posco Flow plans to build a data intelligence platform by 2027 and expand AI agents throughout its entire business by 2029. By 2030, the company aims to complete a company-wide AI transformation system, including logistics operation automation, ESG-based logistics management, and customized AI services for customers, thereby leading innovation in the global logistics industry.

Meanwhile, at the seminar, various topics were covered, starting with Lee Sungwoo, Senior Research Fellow at the Korea Maritime Institute (KMI), who spoke on 'Changes in the Eurasian Logistics Network Due to Global Supply Chain Restructuring.' Other topics included changes in the logistics ecosystem and response strategies due to climate change (Professor Shin Kwangseop, Incheon National University), logistics real estate market outlook and strategies for responding to NPL distressed logistics assets (NAI), strategies for logistics companies to respond to the Serious Accidents Punishment Act and the Yellow Envelope Act (DGL Law Firm), diagnosis of the current status of the last-mile logistics industry and 2026 issues (Chung-Ang University), the present and future of the logistics industry transformed by AI and digital transformation (LG CNS), and changes in logistics policy and response strategies in the new logistics environment (Korea Transport Institute).