Artificial Intelligence Deployed in Project Cargo Logistics

While artificial intelligence technologies are finding increasing applications across the logistics industry, complex operations such as project cargo and breakbulk transportation have been slower to adapt to this transformation. The complexity of data generated by oversized and heavy cargo with non-standard dimensions has long made it difficult for AI applications to enter this segment.

However, a new AI-powered digital rail platform launched by the Port of New Orleans and the New Orleans Public Belt Railroad in the United States is being viewed as a significant step forward in the digitalization of project logistics.

AI-Powered Rail Platform Goes Live

Announced by the Port of New Orleans on May 28, the platform was developed by UTC Transoceanic, a joint venture between New Orleans-based Transoceanic and Houston-based UTC Overseas.

The system combines AI-powered rail clearance technologies with the Palantir Foundry data platform to create a real-time digital model of the New Orleans Public Belt rail network.

The platform is specifically designed to analyze the transportability of oversized and heavy cargo on the rail network, helping to accelerate planning processes.

Unstructured Data Is Being Analyzed

Project cargo transportation involves freight of varying sizes and weights, generating large volumes of unstructured data. This complexity makes route planning and clearance approvals more challenging.

According to Marco Poisler, Chief Operating Officer for Global Energy and Capital Projects at UTC Overseas, the platform uses Palantir technology to analyze complex datasets and transform historical operational information into actionable insights.

Officials state that artificial intelligence helps interpret historical rail clearance data and identify suitable transportation routes more efficiently.

Reducing Lead Times for Oversized Cargo

The transportation of heavy and oversized cargo by rail is often managed through highly manual processes. Carriers frequently need to obtain approvals from multiple rail operators, which can take weeks or even months.

Tomeka Bryant, General Manager of New Orleans Public Belt Railroad and Chief Strategy Officer at the Port of New Orleans, noted that clearance procedures for some oversized shipments can take up to six months. The new platform is expected to significantly accelerate these processes.

Through an application called TEID-RDC, users can enter:

• Cargo dimensions
• Weight information
• Railcar specifications

and quickly determine whether a shipment can move through the rail network while also receiving alternative route recommendations.

A Digital Twin of the Rail Network Has Been Created

The system includes a digital model of the entire 32-mile New Orleans Public Belt rail network. It also provides visibility into bridges, terminals, and load restrictions throughout the infrastructure.

As a result, infrastructure changes, personnel updates, and operational adjustments can be integrated into the system in real time. This allows decision-making to be based on current information rather than historical data and manual planning methods.

Growing Interest in AI Across Breakbulk and Project Cargo

The New Orleans initiative signals growing momentum for artificial intelligence within the project cargo and breakbulk logistics sectors.

Dubai-based Logiswift introduced an AI-powered platform designed specifically for project logistics and breakbulk operations in 2025. Similarly, maritime technology company Sedna has recently expanded its investments in AI-driven workflow solutions.

Despite growing interest, industry experts note that the unique nature of project cargo makes widespread AI adoption more challenging than in container shipping or warehouse operations. Unlike standardized freight, project cargo movements vary significantly from one shipment to another.

Human Expertise Remains Essential

Industry representatives emphasize that while artificial intelligence can significantly improve planning, data analysis, risk management, and operational efficiency, human expertise will remain critical in project logistics.

According to Tim Killen, Growth Leader for the Project Sector at Fracht Group, AI can make project cargo transportation more efficient and optimized, but experienced professionals will still be required to develop engineering solutions and make complex operational decisions.

The success of the new platform could pave the way for broader adoption of AI-powered systems in heavy-lift, project cargo, and breakbulk logistics in the years ahead.

Source: Journal of Commerce