A Deep Dive into Fit Prediction

Real fit simulation, built on real garment science.

FitMap™ lets shoppers see how a garment will actually fall and feel on their body. We combine pattern-accurate 3D garments, a private silhouette-based body model, and physics-driven simulation to visualize drape, stretch, and pressure—so customers buy with confidence.

What the shopper sees

When a shopper tries on a piece, FitMap™ overlays a color-coded visualization on their personalized avatar. In seconds, they can spot where a garment will feel relaxed, contoured, or snug across zones like bust, waist, hip, thigh, and seat—before adding to cart. No guesswork.

How it works

1. Two-photo capture → private body modelCustomers take two guided photos. Our system extracts a clean silhouette (no face or background), builds a proportional 3D body, and discards the images. The avatar reflects shape and key measurements used for try-on and size recommendation.

2. Pattern-true garment construction We reconstruct each product in 3D from the brand’s flat patterns and graded sizes (not just a generic mesh). This preserves darts, seams, pleats, panels, ease allowances, and negative ease—details that materially change fit and comfort.

3. Material + construction modeling We apply fabric parameters (stretch, recovery, bias behavior, bending stiffness, shear, weight) and construction details (seam placement, waistband structure, interfacing). That’s how we simulate drape (how fabric hangs), contour (how it skims), and compression (where it grips).

4. Physics + ML simulation Physics engines compute tension and deformation as the garment maps to the avatar. ML-based calibrations help align virtual behavior with brand-specific realities across sizes and styles.

5. FitMap™ visualization We translate the physics into an intuitive overlay:

6. Comfort/room (easy movement, relaxed drape)

7. Contour (body-skimming, true-to-size feel)

8. Snug zones (noticeable pressure/compression) This helps shoppers align fit preference (snug vs relaxed) with a precise size rec.

“Fall and feel” examples (why materials matter)

• Drapey woven (e.g., silk or viscose): Hangs softly; contour zones tend to read smoother at the hip and sleeve. FitMap™ shows flowing transitions rather than sharp pressure bands.

• Structured denim or suiting: Higher bending stiffness; compression concentrates at waistband, seat, and thigh. FitMap™ reveals whether to size up for mobility or stay true for a tailored line.

• Stretch jersey with elastane: More uniform contouring; pressure distributes across larger regions. FitMap™ helps distinguish “supportive snug” from “too tight” at bust or midsection.

• Bias-cut styles: Directional stretch shifts pressure diagonally; FitMap™ visualizes how that bias changes ease through hip and hem.

Why this increases confidence and reduces returns

• Visual truth: Customers understand why a size is right (or not)—not just a number.

• Preference-aware: Two shoppers with the same rec can choose different vibes (contoured vs relaxed) informed by the overlay.

• Contextualized nuance: Construction and material behavior are baked in, so shoppers aren’t surprised by tight waistbands, stiff hems, or clingy knits.