Smet presented Smet Gpt in Salerno on 16 December 2025, a new virtual assistant designed for its main customers and aimed at making operational information immediately available in a sector where data is often fragmented or difficult to obtain. The system enables direct querying of the company’s information flows and provides up-to-date answers on carbon reports and sustainability indicators, service punctuality and key performance metrics, claims status, administrative procedures and vehicle arrival times, including intermodal rail and maritime routes.
The launch comes against a backdrop of growing operational complexity linked to the spread of intermodal solutions, which multiply interface points and variables along the transport chain. According to the company, the objective of Smet Gpt is to strengthen information continuity between operator and customer, transforming raw data into usable information to support day-to-day decisions and planning.
Through a simplified interface, the virtual assistant allows authorised customers to check shipment progress, estimated arrival times and any anomalies along the route, reducing the need for manual requests and intermediate steps. Structured access to information on claims and administrative procedures also provides a coherent overview of the status of active services, with a direct impact on supply chain and procurement organisation.
In intermodal transport, where punctuality depends on alignment between different modes and often rigid operational windows, access to up-to-date information plays a central role. Smet Gpt has been developed to accompany customers throughout the entire service cycle, including rail and maritime segments, and to reduce uncertainty linked to delays, rescheduling or operational changes.
“In modern transport it is no longer enough to move goods, but also information, with the same speed and precision,” said CEO Domenico De Rosa, explaining that the new assistant aims to reduce the information asymmetry that has historically characterised the sector. According to De Rosa, timely access to data is particularly crucial in intermodal transport, where the ability to anticipate critical issues and manage exceptions affects overall service quality.
Sustainability is another core area of the project. Structured availability of emissions reports enables customer companies to integrate transport data more easily into ESG governance processes and environmental reporting. In this way, the environmental dimension becomes an integral part of operational management rather than a separate or subsequent activity.
From an organisational perspective, Smet Gpt marks a shift from ex-post management to real-time information management. Integration with Smet’s information systems delivers an up-to-date and coherent view of services, reducing waiting times and improving decision-making quality, particularly in complex flows involving multiple transport modes. The service is initially available to a selected group of customers, with a programme for gradual rollout.
