CNF Rear Geometry

Vicente Fit Recommendation Engine

Geometry-aware Levi's recommendation engine with full API spec, style scoring, and pattern feedback endpoints.

Fit Scoring

score(s, x) = w_g · geom_match + w_c · cohort_success + w_p · pref_match

Returns recommended Levi's styles, size adjustments, tension predictions, comfort scores, and pattern-engineering feedback.

POST /vicente-fit/recommend

Returns top Levi's styles for a user based on geometry.

{
  "user_metrics": {
    "projection_mm": 27.5,
    "curvature": 0.91,
    "fitband": "regular",
    "tension_zones": { "upper_seat": 0.12, "side_seam": 0.15, "thigh": 0.10 }
  }
}

Response

{
  "recommendations": [
    { "stylecode": "Levis513", "score": 0.94, "size_adjustment": "0", "comfort_prediction": 0.91, "notes": "Best comfort-structure balance" },
    { "stylecode": "Levis514", "score": 0.92, "size_adjustment": "0", "comfort_prediction": 0.89, "notes": "Most stable across poses" }
  ]
}

POST /vicente-fit/pattern-feedback

Returns pattern adjustments for Levi's engineers.

{ "stylecode": "Levis511", "cnfcaseid": "XYZ" }

Response

{
  "pattern_adjustments": {
    "seat_ease_mm": 1.2,
    "thigh_ease_mm": 1.0,
    "yoke_angle_deg": 1,
    "rise_curve_delta": 0.03
  }
}