1) Data Ingestion
WGSN feeds, runway archives, marketplace catalogs, social velocity, seasonality calendars.
StyleSense™ — AI Fashion Trend Intelligence
AI-powered garment parsing and forecasting that maps your products precisely on the fashion trend curve.
Trend Curve Position · Rising
Marketing Impact (Dynamic)
Guidance below adapts to the current simulated score 62 and phase Rising.
- Ramp test budgets by +10–20% on high-intent ad sets; watch CPA trend.
- Lean into trend-aligned creatives (A-line × pastel × micro-florals); 3–5 new variants.
- Introduce limited drops to create scarcity; highlight UGC + influencer sparks.
- Broaden geo targeting cautiously; keep frequency caps in check.
Note: This is a demo simulation. Real forecasts combine DeepFashion attributes, WGSN signals, temporal models, and your store performance.
2) Computer Vision
DeepFashion attribute parsing: neckline, sleeve, motif, drape + segmentation & embeddings.
3) Representation
Features mapped into a garment ontology; normalized for lighting/pose; multimodal vectors.
4) Knowledge Graph
Attributes ↔ influencers ↔ regions ↔ seasons; causal edges refine priors.
5) Temporal Models
Seasonality, event bursts (Hawkes), lag kernels, and change-point detection.
6) Scoring
Alignment score (0–100) + uncertainty bands; exact phase on trend curve.
7) Insights
Design capsules, price bands, geo rollout, creative prompts, buying depth. API-ready: /score, /trend, /capsule.