First pass yield losses of 10-15% of revenue are common across discrete and process manufacturing, yet the drivers of rework and scrap are rarely well-understood at a granular level. Quality systems capture rejection codes but do not automatically correlate them to the upstream process parameters, raw material batches, or environmental conditions that caused the failure, leaving engineers without actionable insight into where to focus improvement efforts.
Built For
Quality Engineer or Continuous Improvement Manager responsible for reducing scrap and rework costs and improving first pass yield metrics across one or more production lines
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Quality Engineer
Tracks FPY, scrap rates, and rework costs by product family, line, and shift. Identifies the process conditions most correlated with rejections.
Process Engineer
Identifies the "Golden Batch" recipe settings and process conditions that deliver the highest first pass yield.
Supply Chain & Operations
Correlates raw material batch quality and supplier variability with first pass yield outcomes.
Track rework costs, scrap rates, and process parameter correlations to improve first pass yield. Identify which recipe settings, raw material batches, or environmental conditions drive the highest rejection rates.
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Product Family C has the lowest FPY at 86% and the highest rework cost on the line, and 70% of its rejections tie back to cure-oven dwell time falling below the golden-batch window of 92 to 96 seconds. Hold dwell time inside that window and you recover roughly 7 FPY points worth about $340K per quarter.