Stellantis announced plans for a strategic initiative with Accenture to advance the use of AI-enabled digital twin capabilities using NVIDIA technologies across its global manufacturing footprint. This move reinforces Stellantis’ commitment to transforming its industrial operations through data-driven technologies.
This project brings together Stellantis’ industrial expertise, Accenture’s physical AI and digital manufacturing capabilities, and NVIDIA’s accelerated computing and Omniverse libraries to explore the development of next-generation virtual manufacturing environments powered by real-time data and artificial intelligence.
“We are laying the foundation for the next generation of manufacturing at Stellantis,” said Francesco Ciancia, Head of Manufacturing at Stellantis. “By combining digital twins, AI and advanced simulation, we are rethinking how we design, operate and continuously improve our production systems. This initiative is designed to work hand in hand with our teams, enhancing their ability to anticipate issues, enabling faster decisions and continuous improvement. Together with Accenture and NVIDIA, we are exploring new ways to drive more scalable and intelligent operations.”
“The opportunity in manufacturing today is to scale AI across complex industrial operations in ways that deliver measurable business value,” said Tracey Countryman, Supply Chain and Engineering Global Lead at Accenture. “By partnering with Accenture and harnessing NVIDIA’s compute and simulation technologies, Stellantis is positioned to accelerate manufacturing reinvention and lead the industry into a new era of intelligent, high-performance operations.”
This initiative marks a significant step in Stellantis’ ambition to build more adaptive, efficient, and resilient production systems, leveraging digital twins as a core enabler of transformation.
Stellantis is using high-fidelity virtual plant replicas to optimize operations in real time through AI-driven insights, accelerate industrialization by validating processes before physical deployment, enhance quality through predictive monitoring, and reduce risk across manufacturing operations.
Initial deployments are planned in selected plants, providing a foundation to assess value creation and scalability across the broader industrial network, starting with pilots in North America in 2026.
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19 May 2026
