Launching today
QuickLens AI Visual Search
Search your own B2B catalogue with a photo
1 follower
Search your own B2B catalogue with a photo
1 follower
A buyer sends a photo of a part, a fitting or a design. QuickLens brings back the closest items from your own catalogue, ranked, with SKU and details. Nobody has to tag the catalogue first. For B2B sellers of parts and products. Live today in jewellery.
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Hi Product Hunt! I'm Pranshu, the founder of QuickLens, based in Mumbai.
B2B sellers get photos on WhatsApp (a worn brake pad, a valve from a site, a design from a buyer), each asking, "Do you have this?" Their catalogue is filed by part number or design code, so finding the match depends on someone remembering it or scrolling through folders.
QuickLens reads the item in the photo (its shape, details and finish) and brings back the closest items from their own catalogue, ranked, with the SKU and details for the reply. Nobody has to tag the catalogue first, and every answer comes from that catalogue.
It's live today with jewellery manufacturers and traders, and we're opening it up to catalogues of parts, fittings and components. The gallery uses sample parts and data.
I'd love your feedback, especially from anyone selling parts or components. If you run a catalogue business, you can book a 15-minute AI audit at quicklens.org.