The narrative around blockchain in logistics has undergone a decisive shift in 2026. After five years of experimentation that produced more conference presentations than working systems, blockchain-based solutions are now handling real cargo movements at meaningful scale. The Global Shipping Business Network, a consortium of major container lines, processed over 500,000 electronic bills of lading on its blockchain platform in the first half of 2026—a tenfold increase from the same period in 2025.
The breakthrough came not from technological advancement but from industry coordination. The DCSA eBL standard, adopted by carriers representing 70 percent of global container capacity, solved the interoperability problem that had fragmented blockchain adoption into isolated carrier-specific solutions. An electronic bill of lading issued by Maersk is now recognized and processed by ONE, Hapag-Lloyd, and MSC systems without manual intervention—a milestone that skeptics had predicted would take another five years.
Beyond documentation, blockchain is proving its value in supply chain traceability for high-value and regulated goods. Indonesia's tuna export industry, under pressure from EU importers to demonstrate sustainable and legal catch practices, has implemented a blockchain-based catch-to-consumer tracking system covering 40 percent of exported tuna volume. The system combines IoT temperature sensors on fishing vessels with blockchain-anchored catch certificates, creating an immutable record that satisfies both regulatory requirements and consumer transparency demands.
The technology's limitations are also becoming clearer. Blockchain adds little value in supply chains where a single trusted party already maintains the authoritative record—a warehouse management system with a reliable operator achieves the same outcome with lower complexity. The sweet spot for blockchain is genuinely multi-party processes where no single entity is trusted by all participants, which in practice means international trade documentation, multi-carrier shipments, and regulated supply chains with government oversight requirements.
Dr. Sari Nirmala
Associate Professor, Industrial Engineering
Dr. Sari Nirmala researches AI and machine learning applications in logistics at Institut Teknologi Bandung, with a focus on emerging economy contexts.
