From blueprint to reality: Disrupting after-sales vehicle quality with AI

From blueprint to reality: Disrupting after-sales vehicle quality with AI

See how Upstream transforms fragmented OEM data into early quality issue detection, prioritization, and faster investigations, which cuts time-to-insight and unlocks major savings.

Based on McKinsey’s 2021 blueprint and powered by connected vehicle data flowing through the AWS infrastructure, Upstream’s Proactive Quality Detection solution is unveiled in this session, diving into the logic, use cases, and impact of AI-driven pre-claim detection at scale.

Learn how OEMs use Upstream to monitor, detect, and investigate quality issues, estimate scale and severity, and improve customer satisfaction, achieving at least 30% faster root cause analysis and acting on issues before customers even notice.

Additional Resources

  • Economies of People – Democratizing After-Sales Quality with AI

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  • Upstream’s New After-Sales Quality Report, Zooming in on the Power of AI

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  • Show me the money: Can ML and AI cut vehicle warranty and recall costs?

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