Intermodal transportation—the movement of goods using a combination of trucks, trains, ships, and aircraft—relies on seamless coordination across diverse carriers, terminals, and regulatory agencies. As global supply chains grow more complex, the ability to exchange accurate, timely information becomes critical. At the heart of this challenge lies data standardization: the practice of establishing common formats, definitions, and protocols for information exchanged between systems and organizations. Without standardization, data silos breed inefficiency, delays, and errors. This article explores how data standardization improves intermodal transportation, reduces costs, enhances visibility, and supports regulatory compliance, while examining the standards, challenges, and future trends shaping the industry.

What Is Data Standardization?

Data standardization is the process of converting data from various sources into a consistent format that can be understood and processed by different systems. In intermodal transportation, this means defining how shipment details, tracking events, scheduling data, and billing information are structured, labeled, and transmitted. Standardization can apply to data fields (e.g., port codes, container numbers, date/time formats), message protocols (e.g., EDI, API), and even the semantic meaning of terms (e.g., what constitutes “in transit”). The goal is to ensure that a trucking system, a rail operator’s platform, a shipping line’s database, and a customs portal all interpret the same data in exactly the same way.

Standardization reduces ambiguity. For example, without a standard address format, a system might interpret “123 Main St.” and “123 Main Street” as different locations. Similarly, without standard container identification (ISO 6346), a shipping line and a rail depot could mismatch container references. By aligning data structures, stakeholders can automate data exchange, reduce manual re-entry, and achieve end-to-end visibility.

Importance of Data Standardization in Intermodal Transportation

Intermodal transportation involves multiple handoffs between modes and operators. Each handoff introduces risk of data loss or misinterpretation. Standardized data acts as a common language that minimizes friction. It improves communication among carriers, logistics providers, freight forwarders, customs authorities, and consignees. When everyone uses the same data definitions, processing times shrink, error rates drop, and decision-making becomes more agile.

Beyond operational efficiency, data standardization is essential for compliance. International trade regulations—such as the U.S. Customs and Border Protection’s Importer Security Filing (ISF) or the European Union’s Import Control System (ICS2)—require specific data elements in prescribed formats. Standardized data ensures that these requirements are met consistently, reducing the risk of penalties or cargo holds.

Key Benefits

  • Enhanced Efficiency: Streamlined data exchange eliminates delays caused by incompatible systems. For instance, if a trucking company’s system and a port terminal operating system use the same electronic data interchange (EDI) standard, arrival notifications, gate transactions, and container release messages can be processed automatically. This speeds up turn times and reduces the need for phone calls or emails.
  • Cost Reduction: Fewer data errors mean less rework, fewer demurrage charges, and lower administrative overhead. Standardized data also enables better capacity utilization—for example, by allowing rail and ocean carriers to share real-time container availability data, reducing empty repositioning costs.
  • Improved Visibility: Real-time tracking becomes more accurate when event data from different carriers follows a common schema. A shipper can see a container’s progress from truck to train to vessel without gaps or mislabeled milestones. This visibility supports proactive exception management, such as rerouting shipments when delays occur.
  • Regulatory Compliance: Uniform data formats make it easier to produce required filings—such as the Advanced Manifest Rule (AMR) in the U.S. or the Pre-Loading Advance Cargo Information (PLACI) in the EU. Standardization also helps align with supply chain security programs like the Customs-Trade Partnership Against Terrorism (C-TPAT).
  • Scalability: Standardized data enables easier integration with new partners and technologies. A logistics platform that supports industry standards can onboard carriers and depots faster than one that requires custom mappings.

Standards and Initiatives

Several organizations have developed standards to promote data uniformity in intermodal transportation. These standards cover everything from container identification to electronic messages and data sharing protocols.

International Organization for Standardization (ISO)

ISO develops technical standards for physical containers (e.g., ISO 668 and ISO 1496 for container dimensions and strength), as well as data standards like ISO 28001 for supply chain security management. More recently, ISO 19847 and ISO 19848 address shipboard data and machinery data standards, supporting digitalization in maritime transport.

Learn more about ISO container standards.

Electronic Data Interchange (EDI)

EDI standards—particularly UN/EDIFACT (the United Nations electronic data interchange for administration, commerce, and transport) and ANSI ASC X12 (used in North America)—define standardized messages for bookings, shipments, arrival notices, and invoices. For example, the IFTMCS (Forwarding and Transport Summary) message and the IFTSTA (Status) message are widely used in multimodal transport.

Explore UN/EDIFACT standards.

GS1 Standards

GS1 provides standards for identifying parties (Global Location Number, GLN), products (Global Trade Item Number, GTIN), and shipments (Global Serial Shipment Container Code, SSCC). In transport, GS1 standards enable barcode and RFID scanning at depots, warehouses, and terminals, improving asset tracking and inventory accuracy.

GS1 Logistics Standards.

IATA Cargo Standards

The International Air Transport Association (IATA) manages standards for air cargo, including the Cargo IMP (Interchange Message Procedures) and the more modern e-AWB (electronic Air Waybill). These standards ensure that airfreight data integrates smoothly with ground handling and customs systems.

UN/CEFACT – Multimodal Reference Data Model

The United Nations Centre for Trade Facilitation and Electronic Business (UN/CEFACT) has developed the Multimodal Transport Reference Data Model (MMT RDM). This model provides a harmonized structure for data elements used across all modes of transport—road, rail, sea, and air. It aims to enable “data pipeline” approaches where the same data set can be reused across multiple regulatory and commercial processes.

Industry Initiatives

Private consortia and ports have also launched standardization efforts. For example, Port Community Systems (PCS) like Port-Hub in Antwerp or PortBase in Singapore use standardized messaging to connect stakeholders at a single port. The Open Supply Hub (formerly Open Supply Chain Network) and the Blockchain in Transport Alliance (BiTA) have also focused on data standards for modern digital platforms.

Challenges and Future Outlook

Despite the clear benefits, implementing data standardization in intermodal transportation faces significant hurdles.

Technological Disparities

Many small and mid-sized carriers still use legacy systems that lack support for modern standards. Upgrading to EDI or API-based communication requires investment in software and training. Moreover, different regions may favor different standards—EDIFACT in Europe, ANSI X12 in North America, and TRADACOMS in the UK—making global alignment complex.

Resistance to Change

Organizations that have invested in custom integrations may be reluctant to adopt new standards, especially if they perceive little short-term benefit. The cost of mapping existing data to new formats and retraining staff can be a barrier. Additionally, competitive concerns—such as fear of losing data ownership—can slow collaboration.

Complexity of Global Supply Chains

An intermodal movement may involve dozens of handoffs across multiple countries, each with its own regulatory requirements and data formats. Harmonizing data across such diversity is a monumental task. For example, maritime container weights must be verified (SOLAS VGM) in a specific format, but land-based systems may not capture that data in the same way.

Data Quality and Governance

Standardized formats are useless if the data itself is inaccurate. Ensuring that all parties enter correct, complete, and timely data requires strong governance. Many supply chain partners lack the discipline or systems to validate data at the point of capture.

Future Outlook

Technological advancements are paving the way for more seamless data standardization. The rise of application programming interfaces (APIs) allows real-time data exchange without the rigid formatting of EDI. Standards like DCAT (Data Catalog Vocabulary) and JSON-LD enable linked data approaches that can combine transport data with weather, traffic, and customs information.

Digital twins of port ecosystems and entire supply networks rely on standardized data feeds to simulate and optimize operations. Blockchain initiatives such as the TradeLens platform (now integrated into the A.P. Moller – Maersk digital strategy) have demonstrated that shared, permissioned ledgers can enforce data consistency among multiple parties—provided that participants adhere to common data models.

Artificial intelligence and machine learning also depend on clean, standardized data for predictive analytics—estimating arrival times, optimizing routing, or predicting equipment failures. As these technologies mature, the demand for standardized data will only grow.

International cooperation continues through bodies like the United Nations Centre for Trade Facilitation and Electronic Business (UN/CEFACT) and the World Customs Organization (WCO), which are working on harmonizing cross-border data requirements. The Global Data Standard for Intermodal Transportation (GDSIT) mentioned in the original article is one example of industry-led efforts to create a single reference model.

Conclusion

Data standardization is a cornerstone of efficient intermodal transportation. By aligning data formats, definitions, and exchange protocols, stakeholders can reduce friction, cut costs, enhance visibility, and meet regulatory demands. The journey toward full standardization is challenging—due to legacy systems, organizational inertia, and global complexity—but the rewards are substantial. As industry initiatives, digital technologies, and international cooperation push the envelope, the vision of a truly interoperable intermodal network moves closer to reality. Shippers, carriers, and logistics providers that invest in data standardization today will be best positioned to thrive in the supply chains of tomorrow.