Case study 06 / 12

Secondhand Malta

Photograph an item, get a listing: an AI scanner that writes the copy and researches the price.

Type
Delivered for client
Sector
Second-hand retail
Status
Built & delivered
Built with
Next.js · Supabase · Stripe · Gemini

The situation

Every item in a second-hand shop has to be identified, described and priced by hand before it can go on sale.

What was built

AI scannerAn installable phone app: snap or upload a photo and a background queue turns it into a draft listing.
Price researchSearches comparable items, EU first, and suggests a price from the market.
Review screenStaff check the draft, see where the price came from and answer a short category questionnaire.
StorefrontShop, product pages, cart, Stripe checkout, delivery zones and order emails.
Stock importAn existing stock spreadsheet and photo folders imported straight from Google Drive.

Wired into

  • Stripe
  • Google Lens
  • Google Shopping
  • Gemini
  • Google Sheets
  • Google Drive
  • Resend

AI inside

Google Lens identifies the item, then Gemini writes the title, description and details and estimates a price from comparable listings. One photo replaces manual identification, copywriting and price research.

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