Putting AI and ML at the center of After-Sales Quality
Putting AI and ML at the center of After-Sales Quality
Every day, quality teams face new anomalies, new complaints, and new signals. The real question is:Which issue becomes tomorrow’s recall if you don’t act today?During MAPconnnected’s Service & Warranty Lifecycle Summit, Arnon Shaffir, VP of Business Development at Upstream discussed why after-sales quality is becoming a data science and ML problem, not a reactive service function. And he unpacks what “shift left” really means in practice — and why most quality initiatives never make it to production.
Additional Resources
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Show me the money: Can ML and AI cut vehicle warranty and recall costs?
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Upstream’s New After-Sales Quality Report, Zooming in on the Power of AI
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The After-Sales Quality Playbook: AI in Action – Watch now:
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