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The Port of New Orleans (Port NOLA) and the New Orleans Public Belt Railroad (NOPB) are partnering with newly launched logistics company UTC Transoceanic to bring advanced artificial intelligence (AI) and digital rail technology to one of the country’s most important gateways for oversized cargo. The partnership is designed to solve one of the biggest challenges in global logistics: moving extremely large and heavy industrial equipment safely and efficiently through America’s rail network. For the maritime and logistics industries, the timing matters. As demand surges for power infrastructure, data centers, energy projects and industrial manufacturing across the United States, the movement of oversized cargo, including massive power transformers, wind turbine components, turbines, refinery vessels and industrial generators is becoming more critical than ever. Much of that equipment arrives by ship from overseas manufacturers and must then move inland by rail because highways often cannot handle the size and weight of the cargo. That’s where New Orleans comes in. Port NOLA already serves as a major gateway for heavy-lift and project cargo, with direct access to all six Class I railroads through NOPB. But planning these oversized rail moves can take weeks or even months because every shipment must be carefully reviewed for bridge clearances, tunnel restrictions, track geometry and routing limitations across multiple railroad systems. The new partnership with UTC Transoceanic aims to dramatically simplify that process. UTC Transoceanic is a newly formed joint venture between New Orleans-based Transoceanic, led by maritime executive Greg Rusovich, and Houston-based global logistics company UTC Overseas. Together, the companies are deploying patented AI-powered rail clearance technology and a real-time digital model of the NOPB rail network using the Palantir Foundry platform. “This technology changes the conversation for customers moving oversized cargo,” said Beth Bran
Port NOLA, NOPB adopt AI cargo technology
Marine Log
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