Amazon integration
Getting products onto Amazon is a data problem: the right category, the attributes that category demands, and then keeping stock and price honest afterwards. This is how that runs.
Product listings — the full record: title, description, images, identifiers and every attribute the category requires. Sent when you publish, and again when you revise.
Price and quantity — a much lighter update that runs far more often, because stock and prices move constantly while product content rarely does.
The steps between "I have a spreadsheet" and "it's on Amazon".
A CSV or a URL feed, or a direct connection to your Shopify store. Products arrive with their variants, images and stock intact, and recurring sources can re-import on a schedule.
Tell us once which column is the SKU, the price, the title. Everything downstream reads from that mapping, so the same feed can be re-imported without redoing the work.
Our AI matches each product to an Amazon product type and fills the attributes it can infer from your data, flagging what it can't rather than guessing.
Work through what was flagged — often one missing value across a whole category, which you can fill for every affected product at once — then publish.
Four sources, and they can be combined — most catalogues aren't in one tidy file.
The simplest start: export from whatever you use today and upload it. We read the columns and remember how you mapped them.
Point us at a feed your system already publishes and it can be re-fetched on a schedule, so your catalogue stays current without anyone uploading anything.
Connect the store and its products, variants, SKUs and stock come across directly — no export step at all. See the Shopify integration.
If images or attributes live in a second file keyed by SKU, link it onto the first rather than merging spreadsheets by hand beforehand.
Four passes, and you see the result of each before anything reaches Amazon.
Reads the title, description and attributes you supplied and matches the product to an Amazon product type — the decision everything else depends on.
Optionally strips backgrounds, because Amazon wants a pure white main image and supplier photography rarely arrives that way.
Fills the fields that category demands from your data and the product images, and records what it couldn't determine instead of inventing it.
Optionally drafts a title and bullet points that read like a listing rather than a database row — yours to edit before publishing.
The AI's job is to get you to a short list of real decisions, not to publish on your behalf.
Products are grouped by state — ready, needs a decision, or failed — so you work the exceptions rather than scrolling the catalogue.
A missing attribute is usually missing across a whole category. Fill it once and it's written to every product in that category waiting on it.
Skip rules drop what shouldn't be listed at all — discontinued lines, zero-stock items, a supplier's placeholder rows — before they cost you AI credits.
Amazon processes submissions asynchronously — accepting a feed is not the same as accepting the listings inside it, which is where sync tools usually go quiet.
We poll each submission until Amazon returns its outcome, then attach the result to the products in it — so a rejection lands on the product it belongs to.
Rejections and errors raise a notification with Amazon's own reason attached, rather than leaving you to notice a missing listing weeks later.
Once live, stock and price updates flow on their own as you sell across channels — and Smart Pricing rules can move your Amazon prices within limits you set.
Sources, mapping and what Amazon does with a submission.
No questions in this category.
Connect Amazon, eBay, Shopify and Etsy in minutes. Centralize inventory, automate listings, and let AI handle the busywork — so you can focus on selling more.
Amazon
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eBay
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