AI Agent Tackles Ocean Shipping Disruptions
Supply chain tech firm project44 has debuted an AI agent designed to autonomously resolve "rolled container" disruptions at ports. The system detects when containers are unexpectedly held over, communicates with carriers, and rebooks shipments with minimal human intervention.
A leading cause of these disruptions is simple overbooking by ocean carriers, a practice similar to the airline industry, meant to ensure vessels are full. Other common triggers include customs delays, missing or inaccurate documentation, and congestion at ports, all of which can cause a container to miss its scheduled sailing. This issue is compounded by vessel schedule unreliability; in January 2026, only 62.4% of container ships arrived on time globally. When a container is "rolled," the consequences extend beyond a simple delay. Shippers can face additional storage and demurrage fees at the port, and the cost of rebooking on a later, potentially more expensive, vessel. For time-sensitive goods, a rolled container can lead to lost sales and damage to a company's reputation with its customers. The average delay for late vessel arrivals recently stood at over five days, illustrating the significant impact on supply chains. The project44 AI agent specifically targets these delays at transshipment ports—intermediate stops where containers are moved from one ship to another. These transfer points are particularly vulnerable to disruptions. The AI continuously monitors shipments and can identify the risk of a container being rolled up to 35 hours before the carrier officially provides an update. Upon detecting a high risk, the AI agent automates what was once a time-consuming manual process. It communicates directly with the carrier to confirm the roll and then sources alternative voyage options. This entire process of detection and finding a solution can be completed in under five minutes, a significant reduction from the hours it would take a human analyst. Ultimately, a human logistics professional retains control over the final decision. The AI presents its findings and rebooking recommendations in a structured format for an analyst to review and approve. This "human-in-the-loop" approach combines the speed of automation with experienced oversight, aiming to mitigate the costly ripple effects of rolled containers across the global supply chain.
