Italian boatbuilder Benetti says it plans to introduce artificial intelligence into its production processes as part of a project developed with the Quinn University Consortium.
The first phase, which is due to begin by the end of the year, focuses on four areas within the firm’s custom operations division at its Livorno site. AI‑based systems intended to improve process performance, increase automation and support the consistency of products and services, will be applied to logistics, planning, production engineering and safety.
“Investing in innovation is the strategy that ensures we can always offer our clients the best possible product,” says Benetti general manager Massimo Casoni. “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.
“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.”
Ilaria Campana, general manager of the Quinn Consortium, adds: “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.
“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.”
Quinn previously collaborated with Benetti from 2022 to 2024 on a logistics synchronisation project centred on horizontal supply‑chain integration. That work provided data and insights used to identify opportunities for improvement and inform the AI‑based tools being implemented. These include automatic controls for the Incoming Material Booking Portal – aligning material deliveries with yacht schedules and warehouse capacity – and a three‑year plan simulator prototype designed to process complex scenarios and support performance evaluation.
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