Ferrari increases custom vehicle configurations 20% with Amazon Bedrock generative AI
FerrariAmazon BedrockFerrari used Amazon Bedrock to access and benchmark multiple foundation models, delivering a 20% increase in custom vehicle configurations and boosting productivity for over 1,000 technical users via a generative AI-powered knowledge base. Ferrari also built an AWS-enabled Car Configurator for immersive virtual vehicle configuration and achieved up to 60% faster simulations for customized models.
Overview
Ferrari used Amazon Bedrock to access and benchmark multiple foundation models, delivering a 20% increase in custom vehicle configurations and boosting productivity for over 1,000 technical users via a generative AI-powered knowledge base. Ferrari also built an AWS-enabled Car Configurator for immersive virtual vehicle configuration and achieved up to 60% faster simulations for customized models.
The challenge
Ferrari sought to personalize vehicle purchases, elevate the fan experience, and increase productivity for internal teams by launching new generative AI-powered experiences for customers, dealers, and internal teams.
The solution
Ferrari used Amazon Bedrock to access and benchmark multiple foundation models, powering a generative AI-powered knowledge base for technical teams, data-driven individualized vehicle configuration recommendations, and an AWS-enabled Car Configurator that brings an immersive virtual configuration experience to the web.
Reported business value
The solution delivered a 20% increase in custom vehicle configurations and boosted productivity for over 1,000 technical users via the generative AI-powered knowledge base, along with up to 60% faster simulations for customized models.
Sources
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This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
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