November 28, 2025
News

Benetti: AI Revolutionizes Yacht Production

 

Benetti’s first AI integration project, developed jointly with the Quinn University Consortium, will get under way by the end of the year. The initial focus will be on optimising the performance of production processes in four areas of the Livorno site’s Custom Operations division.

Benetti, supported by the Quinn Consortium, is ready to launch a strategic plan to introduce Artificial Intelligence into its production processes, with an initial focus on four areas of the Custom Operations division. The Logistics, Planning, Production Engineering and Safety divisions will see the integration of AI-based technologies in the first phase of the project, which aims to upgrade the effectiveness of procedures, raise the level of automation, and increase the quality and reliability of products and services. The new project will get under way at the company’s Livorno site by the end of the year.

“Investing in innovation is the strategy that ensures we can always offer our clients the best possible product. The introduction of Artificial Intelligence is a significant step forward in the history of yacht building, and while on one side excellence and attention to detail remain core to the brand, on the other, the adoption of cutting-edge digital solutions will open the way to make processes faster, more efficient and more sustainable, putting us in the best possible position to face future challenges,” said Benetti General Manager Massimo Casoni. “We’re proud of this collaboration with the Consortium, with which we share a sense of belonging to the local area and the vision of a future in which technology adds value to a unique product.”

“We’re extremely honoured to share this journey with a company like Benetti, which for us means sharing a strategic vision in which technological innovation, people and processes come together to create sustainable value over time,” said Ilaria Campana, General Manager of the Quinn Consortium, adding: “Today, Artificial Intelligence is a fundamental lever for driving companies into the future, on the condition that we think of it not only as a tool to improve efficiency, but also and most importantly as a force for transformation that can generate concrete, positive impacts on the entire production system. That’s why we need an integrated, process-focused approach to deliver excellent performance, protect investments in technology, and foster new ways of working.”

The strategic partner of the initiative is Quinn, the University Consortium that has been supporting businesses since 1989 through advanced training and research initiatives, and with which Benetti has already undertaken a successful project (2022-2024) to synchronise logistics by focusing on horizontal integration in the supply chain. This work enabled the Consortium to gather and analyse inputs from all corporate functions, with a view to intercepting opportunities for improvement and defining a series of AI-based solutions that will be implemented in the shipyard in the coming months. They include the integration of automatic controls on the Incoming Material Booking Portal – which will align materials deliveries with the yacht schedule and warehouse availability – and the introduction of the Three-Year Plan Simulator Prototype, which will automatically process complex scenarios and facilitate continuous improvement in key business performance indicators.

The application of AI to the Custom Operations area will bring multiple benefits, including the reduction of errors in manual activities that can be automated, upgrading data-based decision-making capabilities, and cutting manual processing times for semi-finished products in favour of in-house skills developed to address value-added activities.

The project confirms Benetti’s desire to continue investing in innovation, which strengthens its leadership in the industry and lays the groundwork for a more evolved, flexible and future-oriented production model that aspires to be a benchmark for the entire yachting industry.

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