| Metric | Pre-Upgrade | Post-Upgrade |
|---|---|---|
| Daily Inspections | 500 units | 1,500 units |
| Average Check Time | 3 minutes | 55 seconds |
| False Negative Rate | 2.1% | 0.8% |
The system's nuanced approach to defect analysis considers over 40 parameters including thread density in woven fabrics and microscopic flaws in hardware components. Suppliers receive detailed PDF reports with annotated images highlighting any concerns detected.
Future-Ready Quality Assurance
This hybrid model demonstrates how AI can augment human expertise rather than replace it entirely. The CSSBUY QC System
Industry analysts note this integration poses an interesting case study - by embedding AI tools within familiar spreadsheet interfaces, CSSBUY has significantly lowered adoption barriers for staff while achieving quantifiable quality improvements that directly impact customer (NPS) scores.