Ferrari
AI personalization in the car configurator
Ferrari's AI-supported configurator reduced configuration time by 20%, AWS reported
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
Takeaway
Ferrari reported a shorter configuration process alongside increased sales leads. It did not disclose the size of the lead increase.
Categories
- Industry
- Manufacturing
- Business function
- Marketing and sales
- Innovation type
- Product and service innovation
- AI technology
- Generative AIRecommendation and personalization
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
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.