WorkflowPost 2377 min read

AI Tech Pack Size Grading: Automated Measurement Scaling Across Sizes

How AI tech packs handle size grading — automated measurement scaling, grade rules by garment type, and maintaining fit consistency across the size range.

What is size grading in tech packs

Size grading is the process of scaling a garment pattern from a base size (usually M or 8) to all other sizes in the range. Each measurement point — chest, waist, hip, sleeve length, shoulder width — changes by a specific increment between sizes. These increments are called grade rules.

In manual tech packs, grading is tedious and error-prone. A single garment may have 15-25 measurement points, each with its own grade rule, across 5-8 sizes. That is 100-200 individual measurements to calculate. An AI tech pack generates all of these automatically.

How AI tech packs handle grading

Skema3D's AI tech pack generator applies category-appropriate grade rules based on the garment type, fit, and target market you specify. The AI knows that a men's regular-fit oxford shirt grades differently than a women's slim-fit dress or a children's hoodie.

You specify the base size measurements (or let the AI generate standard measurements), and the grading is applied automatically across your full size range. Every measurement in the chart is calculated using industry-standard grade rules.

Standard grade rules by category

Different garment categories use different grading increments.

Standard grading increments per size (inches)

MeasurementTops (Casual)Tops (Fitted)BottomsDresses
Chest/Bust2.01.51.5-2.0
Waist2.01.52.01.5-2.0
Hip2.02.0
Shoulder0.5-0.750.50.5
Sleeve length0.50.50.5
Body length0.75-1.00.751.0-1.5 (inseam)1.0
Across back0.750.50.5-0.75

Custom grading in AI tech packs

If your brand uses non-standard grading, you can adjust the AI-generated grade rules. For example, some brands use 1.5-inch chest increments instead of 2 inches for a more precise fit progression. Some use uneven grading — smaller increments at the middle of the range and larger at the extremes.

Tell Skema3D your preferred grading approach in the prompt or adjust the graded measurements after generation. The AI recalculates all related measurements to maintain proportional consistency.

Grading accuracy checks

After generating your AI tech pack, review the graded measurements for proportional consistency. Check that the relationship between measurements stays consistent across sizes — for example, the difference between chest and waist should be consistent (or intentionally variable) across the size range.

Skema3D's AI tech pack handles these proportional relationships automatically, but a final review is always good practice before sending specifications to your manufacturer. Generate your graded specs at /ai-tech-pack-generator.