POSCO International has started testing a blockchain system that puts real trade receivables onchain, collaborating with LG CNS and Injective. This proof-of-concept project involves tokenizing actual invoices from cross-border transactions between POSCO’s overseas subsidiaries and their commercial partners.
The platform runs on Injective, a layer-1 blockchain designed for financial services. It manages issuance, transfer, compliance checks, and settlement all within one shared ledger accessible to authorized parties. The goal is to replace the traditional method where buyers, sellers, and financiers each keep separate records, often causing delays due to repeated verification.
How Blockchain Could Change Trade Finance
Trade receivables represent money owed after goods or services are delivered, but handling those invoices across different systems is slow and error-prone. POSCO’s blockchain test aims to create a single source of truth that reflects ownership and payment status in real time. Each tokenized receivable carries embedded compliance rules controlling who can hold or transfer it.
Though the project is still in testing, POSCO plans to move to live production later this year. The companies haven’t released data on transaction volumes or performance metrics like processing speed and cost savings yet. However, a spokesperson confirmed the trial proved AI and blockchain tech can work effectively with genuine trade data.
POSCO International posted sales of 32.37 trillion won in 2025, covering steel, energy, and battery materials. Integrating blockchain here could streamline complex international settlements, reduce paperwork, and provide financing partners with clearer visibility into receivables. Yet, the system doesn’t eliminate the need for legal contracts or regulatory checks.
This initiative echoes growing interest in combining blockchain with AI for trade documentation, similar to other recent innovations in finance and crypto industries. For example, Coinbase’s CEO recently discussed AI’s impact on crypto operations, signaling a broader trend of tech-driven transformation.
