This article gives you an overview of how Quality Inspection Analytics helps retailers interpret inspection data and convert it into clear, actionable insights by:
✅ Identifying recurring defects
✅ Tracking supplier and customer quality trends
✅ Optimizing inspection processes
Access: Home > Manufacturing > Reports > Quality Inspection Summary
Key Metrics:
Acceptance/Rejection rates by:
Item
Supplier
Inspector
Time period
What It Shows:
Top 5 defect types (e.g., "Dimensional Errors - 42%")
Helps prioritize corrective actions
Track Over Time:
Monthly rejection rate trends
Seasonal quality variations
Create ad-hoc reports with:
✔ Drag-and-drop fields (Item, Batch, Inspector)
✔ Filters (Date ranges, Status)
✔ Visualizations (Bar charts, Trend lines)
Monitor:
On-time inspection completion
First-pass yield rates
Comparative analysis across suppliers
Calculate:
CoQ = (Rejected Qty × Unit Cost) + Rework Costs
Go to: Home > Manufacturing > Reports
Select:
Quality Inspection Summary
Defect Analysis Report
Set filters → Generate
Click "Customize" on any report
Add/remove columns → Save as "My Inspection View"
Formats: Excel, PDF
Automate: Schedule email delivery
High rejection rate for Men’s Formal Shirts due to stitching inconsistencies
Analyzed defect patterns across batches and found that 47% of stitching defects originated from Supplier Y.
Inconsistent needle calibration and thread tension settings on Supplier Y’s machines.
Updated the inspection checklist to include thread tension and needle calibration checks AND Conducted a hands-on training session for Supplier Y’s tailoring unit on machine setup best practices.
Defect rate dropped from 18% to under 6% within 3 months, improving delivery timelines and reducing rework costs.
Here’s a quick look at some common issues you might run into.