From a photo of a dress to a catalog your customers can browse — in three steps. Most shops are online the same evening they start.
Open the app, photograph a dress. AI adds the details in the background — category, subtype, colour, fabric, occasion, a short description and an auto SKU. You set the price and save. About 10 seconds per product once you're used to it.
Pick the pieces you want to show — a new arrival, a festival collection, a few sale items. Tap share. Kanchuki builds a WhatsApp link for that collection and sends it to a customer, a family group, or your whole list.
Customers browse, heart what they like, and tap Enquire. You get the enquiry in the app and reply — like a WhatsApp chat, but organised. Stores with checkout enabled can take payment online too.
Four things you'll do in the app, in order.
One photo → AI-tagged product, or bulk: shoot racks shelf-by-shelf or import a supplier PDF for 500–3,000 SKUs. Every product gets sizes (S–XXXL), a category, colour, fabric, and a rack/shelf location.
See everything in one list — search by name, colour, or price range. Edit anything AI wrote; your edits always win. Mark pieces SOLD or reserved with one tap, or scan the rack tag (works offline).
WhatsApp collections — one link per occasion or collection. Store QR — print it, stick it on the counter, customers scan and browse. Every shop also gets its own store page at a personal link.
Favourites and enquiries tell you what people actually want. Customer notes capture each customer's colour, style, budget and occasions — so your next WhatsApp to them shows the right things.
You never wait on a loading screen. After you save, the app quietly:
If you need to correct anything, edit it — AI never overwrites your changes.
Built for budget Android phones and patchy networks. Offline mode lets you browse and update your catalog, syncing when the connection returns. Customer pages are light and fast — they open quickly even on old phones and slow connections.
Photograph one dress tonight. See your catalog tomorrow morning.