AI Size Grading and Validation in Skema3D
Use AI-assisted grading concepts in Skema3D with a validation-first workflow that protects fit consistency across size ranges.
Grading needs validation at every step
AI assistance can help draft grading direction, but fit quality depends on rigorous validation.
Treat grading as a controlled system, not an automatic scale operation.
Lock base-size intent first
Do not grade unstable designs. Base size fit must be clearly approved before size expansion starts.
This prevents multiplying unresolved fit issues across the range.
Apply grading logic in controlled passes
Expand size range in phases and validate at checkpoints.
Use consistent measurement references so comparisons are meaningful.
- Define key POM checkpoints
- Validate small, mid, and large anchors
- Review sleeve/body/hem relationships by size
- Check hood and opening behavior across range
Use AI as assistant, not approver
AI suggestions are useful for drafting alternatives and identifying anomalies.
Final grading decisions should stay with technical review owners.
Grading QA checklist
Before handoff, confirm grading consistency is documented and reviewable.
- Base-size fit is locked
- Key checkpoints are validated across sizes
- No major proportion drift in critical zones
- Grading assumptions are recorded for production teams