Case Study
Turning a warehouse of Magic cards into a one-click listing operation
A trading card resale team replaced hours of daily manual work with a single platform that identifies, prices, and lists cards across marketplaces automatically.
Industry
E-Commerce / Collectibles
Company Size
Small team (< 10)
Timeline
8 weeks
Tools Replaced
Manual process → 1 platform
Before
- Every card identified by hand — name, set, edition, and condition checked manually against reference databases.
- Pricing required cross-referencing multiple marketplace listings for each individual card.
- Listings created one at a time on eBay and TCGPlayer with manual formatting and data entry.
- A single team member could spend an entire day listing a few hundred cards.
After
- Cards photographed and run through a computer vision system using OCR to identify name, set, edition, and condition automatically.
- Low-confidence identifications routed to a human verification queue — a mechanical turk layer that keeps throughput high without sacrificing accuracy.
- One click generates listings across eBay and TCGPlayer simultaneously — formatted, priced against real-time market data, and ready to publish.
- Team throughput increased by orders of magnitude with the same headcount.
Hours
Saved daily per team member
2
Marketplace integrations
ML + Human
Hybrid verification pipeline
“We went from spending full days on listings to processing our entire inventory in a fraction of the time. The system paid for itself in the first week.”
— Operations Lead
Built with
React · Apollo/GraphQL · Node.js · MongoDB · Elasticsearch · Custom OCR pipeline
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