Your products

Selling without Shopify

No store, no problem. Paste your products straight from a spreadsheet, or upload the catalogue PDF you already send customers — the agent sells from those.

Option 1 — paste a product sheet

Dashboard → Agent → the Products card. Copy your rows in Google Sheets or Excel, click into Paste your products, paste — or press Choose a CSV to pick a file. The first row must be the column names.

A sheet the importer understands

title,             price,  sku,    stock, image_url,                 type
Embroidered kurta, 3450,   KUR-01, 12,    https://…/kurta.jpg,       Kurta
Cotton shirt,      1899,   SHT-04, 5,     https://…/shirt.jpg,       Shirt
Silk dupatta,      899,    DUP-02, 0,     https://…/dupatta.jpg,     Dupatta

Columns we understand: title (required), price, sku (your own product code — any text that uniquely identifies the product), image_url, type, stock, currency. Anything else is ignored.
Relaxed headings work too — "name", "product", "item" all count as the title; "qty", "inventory" count as stock; "photo", "image link" count as the image. Prices tolerate formats like 1,499 or Rs 1499.
Up to 2,000 rows per import; files over 4 MB should be split or pasted instead.
You always see a preview table of what was understood before anything is saved — nothing is imported until you press Import N products.

Updating later

Paste again any time — rows are keyed by SKU (or the title), so a re-import updates products instead of duplicating them. Tick "This is my whole catalogue — archive anything I imported before that isn't in this list." to retire anything missing from the new sheet. Products that came from a connected Shopify store are never touched by imports.

Option 2 — a catalogue PDF

Dashboard → Agent → the Catalog PDF card → Choose PDF → Upload catalog. One PDF, up to 8 MB.

What the agent does with imported products

Ability	With a pasted sheet
Search & product cards	Yes — title and type are searched; cards carry the photo, price and a buy button.
Stock answers	From your `stock` column — 0 means sold out; no column means stock is never claimed.
Orders	Recorded in WSend (see the Orders page) — there is no Shopify order because there is no Shopify.
Photo search	Text matching only — visual search needs a connected store catalog.

Good to know

Retired products are archived, never deleted — an old order still knows what it sold.
A currency column wins per row, so one sheet can carry products priced in different currencies.
Show me an example fills the box with a sample sheet — the fastest way to see the expected shape.