RA

Generative Fashion Graph (GFG)

Inspiration × Morphology × NOT × City DNA × Designer DNA × Economics → only designs with P(Adoption) above threshold.

Design*
=
GenAI
+
DNA
+
City
+
Signals
+
NOT
+
Economics
Moat = Constraint + Context + NOT + Commerciality
Total combinatorial space
1,075,648
Selected slice
1,075,648
After NOT operator
7%
P(Adoption) ≥
0.65
L1
Inspiration Graph

Paris, Japan, Africa, Indian archives, stylists, tailors.

L2
Morphological Generator

X = (Fabric, Color, Drape, Embroidery, Silhouette, Neckline, Sleeve) — millions of combinations.

L3
NOT Operator

Remove e-com saturation, social fatigue, copycats, Meesho mass, negative reviews.

L4
City DNA

Bengaluru = understated · Delhi = statement luxury · Kolkata = heritage.

L5
Designer DNA

DNA = (Originality, Archive, Fabric, Brand, Tone).

L6
Economic Filter

Stitchable · sourceable · margin-positive · low MOQ · scalable.

L7
Image Generation

Render only after layers 1–6 pass — not before.

Causal chain
Inspiration
Universe
NOT
City DNA
Designer DNA
Economics
Image Gen
Launch