In a groundbreaking move for supply chain management, Yessheet
How the AI-Driven QC Process Works
The system operates through a streamlined workflow:
- Suppliers upload product photos to the Yessheet cloud platform
- Integrated computer vision API automatically scans for defects
- Detection results populate the Yessheet spreadsheet in real-time
- Sub-92% pass rates trigger manual verification alerts
Measurable Performance Improvements
Comparative data reveals significant advancements:
Metric | Previous | Current |
---|---|---|
Inspection Speed | 8.7 items/min | 33.1 items/min |
False Negative Rate | 2.1% | 0.7% |
Data-Driven Supplier Evaluation
The enhanced system auto-generates supplier performance dashboards, tracking:
- Defect frequency by product category
- Trend analysis of quality improvement
- Comparative rankings across vendor base
These metrics directly inform procurement prioritization in the Yessheet ecosystem.
Implementation Success Story
A medium-sized electronics assembler reported:
"After implementing Yessheet's AI QC solution, we reduced our inspection team from 15 to 4 personnel while catching 38% more subtle defects that previously escaped human detection."
Organizations looking to modernize their quality control processes can explore these capabilities at Yessheet's official platform. The solution requires no specialized hardware and integrates seamlessly with existing ERP systems.
System Requirements
The image processing supports standard JPEG/PNG formats up to 12MP resolution. For optimal performance, Yessheet recommends:
- Minimum 5Mbps upload bandwidth
- API response times under 800ms
- Cloud storage synchronization