What it sells
AI assistant for product-led fashion retailers covering range planning, supplier audits, fit, depth of buy, size curves and pricing.
Business model breakdown
Buyer: who owns the budget?
UnverifiedMerchandising, product and buying leads at fashion retailers (range planning, supplier and fit teams).
Trigger: what makes them buy now?
Costly product mistakes (e.g. the site cites catching an 870k pound mistake before a launch ships) and high return rates driven by fit/size issues.
Workflow: what inputs become what output?
Connects to Shopify, warehouse, PLM, reviews and ticket data; models revenue impact of recommendations and drafts the next step (re-grade, Shopify edit, Slack update) in one click.
Economics: what it saves and how it charges
SaaS subscription for retailers (no price shown); value math is modelled revenue/return savings per recommendation, e.g. example "Re-grade womenswear jeans above size 14: modelled saving 1.2M pounds/yr".
Distribution: how it reaches customers
Self-serve ('Start for free') and demo-led (Book a demo).
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2025-11-04 | — | €3.4M | — | news.google.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-13.