— Comparison
We're not trying to be a global trend platform. We're built around the Indian D2C buyer's real workflow — and we charge a tenth of what WGSN does.
16
Where we win
2
Ties
5
Where they win
— Forecasting
Per-merchant demand forecast
Trained on your own sales history
Calibrated 80% prediction intervals
Cost-optimal reorder quantity per SKU
Live walk-forward backtest accuracy reported
— India-specific intelligence
Indian festive calendar lifts
42 windows mapped to category multipliers
Indian designer runway corpus
30+ designers × 4 seasons, AI-tagged
Indian D2C competitor catalogs
24+ brands tracked daily
247-attribute Indian fashion taxonomy
Anarkali / Lehenga / Sharara / Kurta Set / etc.
Regional demand slice (north/south/east/west)
— Global trend depth
Years of historical trend data
European/American runway coverage
Footwear, men's, kids categories
Beauty / interiors / lifestyle
— Workflow
Connect store to first forecast
Buyer briefs written in persona voice
Anaita, 12-year senior buyer
6-month assortment plan
Visual moodboards
Cross-publication media consensus
— Sustainability
Per-fibre sustainability score
40 fibres; open-mirror of Higg MSI
Indian-fibre LCAs (khadi, banarasi, chanderi)
— Pricing & access
Annual cost (single seat)
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API / data export
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