Quality Control Reporting — Industrial Manufacturer
24hr→live
Defect detection to management visibility
4hr→0
Daily QC data transcription time
38%
Reduction in defect-related production losses
100%
Production line data coverage achieved
The Challenge
A precision manufacturer was generating QC inspection data across 14 production lines — all recorded on paper and manually transcribed into spreadsheets by QC technicians. The 4-hour daily transcription workload introduced a 24-hour lag between defect detection and management visibility, delaying corrective action on production issues.
What We Built
We automated the QC data pipeline: IoT sensor and inspection device data flows directly into a centralised reporting system, defect patterns trigger automatic alerts to production managers and QC leads, daily reports generate and distribute automatically, and corrective action workflows launch for threshold breaches — all without technician involvement.
“We went from finding out about defects the next morning to knowing about them in real time. The production impact difference is significant.”
— Head of Quality Assurance
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