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Neaton Auto Products Manufacturing (NAPM), a Tier-1 automotive supplier, used the CADDi AI Data Platform to unify four decades of data across engineering, procurement, and quality control. The case study reports improved quality control and a 70% reduction in search time, highlighting how centralizing legacy data can accelerate AI adoption on the factory floor.
What’s the biggest hurdle your organization would face in unifying historical engineering and quality data to achieve similar AI-driven gains?
Neaton Auto Products Manufacturing (NAPM) improved quality control and reduced search time by 70% with CADDi AI data platform
New case study analyzes how Tier-1 automotive supplier advances AI adoption by unifying four decades of data across engineering, procurement and quality control
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