Ferrari Advances Generative AI for Customer Personalization and Production Efficiency

The company has applied generative AI across various use cases, including accelerating vehicle design and providing personalized services. Silvia Gabrielli, Ferrari's chief digital and data officer, emphasizes the company's commitment to excellence and innovation, stating, "Every day, we try to find new ways of achieving excellence while improving our customers’ experiences and their connection with our brand."

Founded in 1947, Ferrari has a rich legacy in sports car racing and craftsmanship. In 2021, the company selected AWS as its preferred cloud provider to enhance its compute, analytics, and storage capabilities. Gabrielli notes, "AWS has been key to our IT transformation," highlighting the significant reduction in infrastructure management costs and improvements in application reliability and scalability. For instance, Ferrari can run simulations in its product lifecycle management software 60% faster than before.

To personalize customer experiences, Ferrari developed a car configurator on AWS, allowing customers to customize their vehicles with various options. This tool utilizes large language models (LLMs) in Amazon Bedrock, enhancing the customer experience through machine learning. Since its launch, the configurator has increased sales leads and reduced configuration times by 20%, providing a more engaging experience with 3D imagery.

Ferrari also employs a generative AI chatbot to assist sales professionals and technicians, utilizing LLMs fine-tuned on its documentation. This approach has streamlined operations, enabling quick testing and deployment of different models. Additionally, Ferrari uses Amazon Lookout for Vision to automate quality inspections, detecting defects in the assembly line before vehicles undergo testing.

The integration of generative AI has allowed Ferrari to optimize vehicle design, enabling the company to run thousands of simulations in parallel at a low cost. This capability reduces time to market and reliance on physical prototypes. Gabrielli states, "We can run analytics and simulations and make correlations that were not possible in the past," underscoring the transformative impact of generative AI on product development.

As Ferrari continues to expand its use of generative AI, the company is also exploring cloud services to meet its carbon neutrality commitment by 2030. Gabrielli concludes, "Innovation is in Ferrari’s DNA, since the first days of our founder. We see AWS as a strategic collaborator in our innovation efforts."