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From picture to listed in seconds

Automate garment cataloging, pricing, and listing. Fioobra handles the repetitive work so you can scale your resale business.

Everything you need to scale resale

Photo Capture Your Garments

Snap a photo and let AI identify incoming textiles instantly.

Smart Cataloging

Listings that write themselves. AI generates ready-to-publish titles, descriptions, condition and tags tailored for resale.

Price Confidently

Get AI-powered price suggestions based on your defined categories, historical sales, brand, condition, and market data.

Inventory Dashboard

Full overview of your garments, margins, and product status.

List and Sell Online and In-store

Publish to your own storefront in one-click.

Gets Smarter With Every Sale

Every transaction improves your data on what sells, at what price, and how fast. Continuously sharpening your cataloging, pricing, and sorting recommendations.

Why Fioobra?

Replace manual typing. Built specifically for secondhand and vintage clothing.

Spend less time and resources on manual, repetitive input and more time growing your business.

<10 sec
Per item with Fioobra
3–10 min
Per item manually

Have more time for customers.

Choose a plan based on your volume.

Starter – €125/month

+ 3–4.9% per transaction (1.9% Fioobra + 2–3% payment processing)

  • Up to 500 items/month
  • AI auto-cataloging (brand, size, condition, color)
  • Auto-generated product descriptions
  • One-click listing to your store
  • Inventory dashboard with sales tracking

Growth – €299/month

+ 3–4.9% per transaction

Everything in Starter, plus:

  • Up to 10,000 items/month
  • AI pricing suggestions
  • Priority support (24h response)

Custom – On Request

Everything in Growth, plus:

  • Unlimited volume
  • Connect to your existing systems (API)
  • Dedicated contact person
  • Onboarding at your facility
  • Guaranteed uptime (SLA)

No hidden costs. Transaction fees include secure payment processing via Stripe or Vipps.

Meet the team

At Fioobra, we're rethinking recommerce to fix the unit economics of secondhand, vintage and fashion resale.

Learn more about the team →