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ItalyManufacturing2024 – ongoing

Ferrari

AI personalization in the car configurator

Ferrari's AI-supported configurator reduced configuration time by 20%, AWS reported

WorkingVendor case studyVendor ↗

Problem

Ferrari offered millions of vehicle configurations. Customers and dealers needed help choosing combinations suited to individual preferences.

Approach

Ferrari built a configurator on AWS using language models in Amazon Bedrock and recommendations from Amazon Personalize. Customers could explore options through interactive 3D vehicle images.

Results

20%reduction in car configuration time after rollout, according to AWSVendor case study[1]

Takeaway

Ferrari reported a shorter configuration process alongside increased sales leads. It did not disclose the size of the lead increase.

Categories

Business function
Marketing and sales
Evidence
Vendor case study

Sources

Source summaries

[1]Amazon Web Services2024

AWS described Ferrari's use of Bedrock and Personalize in its car configurator. It reported a 20% reduction in configuration time and an increase in sales leads without quantifying the latter.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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