In traditional factories, quality control happens after the fact—after materials are wasted, time is lost, and defects have been shipped. But in smart factories, quality isn’t something you inspect at the end. It’s something you predict and prevent in real time.
That’s the promise—and the power—of Predictive Quality Control powered by AI, now built into micraft MES.
"Predictive Quality turns inspections into prevention—saving millions in scrap, rework, and lost trust."
Micraft Solutions
Defects caught too late mean rework, wasted material, downtime, and client penalties. Even a 2% defect rate can cost millions annually.
AI-powered models monitor parameters in real time, flag risks early, auto-route at-risk units, and suggest instant adjustments to prevent defects.
From subtle cycle time shifts to pressure deviations—Predictive Quality detects risks and prompts recalibration before scrap builds up.
AI models continuously improve with more data—adapting to seasonal factors, learning correlations, and reducing false positives over time.
Supervisors get live dashboards, managers see root-cause trends, and operators receive real-time cues—turning insights into action.
Clients achieved up to 30% scrap reduction, 22% higher first-pass yield, and faster audits with automated defect logs and NCRs.
In the race toward zero-defect manufacturing, reactive quality isn’t enough. Predictive Quality Control gives you the edge—saving costs, protecting your brand, and making your processes future-proof.
