Getting products onto Amazon is a data problem. You need the right category and the attributes that category demands. Then stock and price must stay honest afterwards. This is how that runs.
| SKU | Product type | Result |
|---|---|---|
| PRT-A4-OAK | Wall art | Accepted |
| PRT-A3-OAK | Wall art | Accepted |
| PRT-A2-WAL | Wall art | Rejected |
Product content rarely changes. Stock and prices change all the time. So they travel separately.
Sent when you publish, and again when you revise.
Travels when you put a product on Amazon or change its content.
Runs far more often than full listings. A sale on another channel updates the Amazon quantity without re-sending the whole listing.
Travels when you sell across channels or a price changes.
The steps between “I have a spreadsheet” and “it’s on Amazon”.
A CSV, a URL feed, or a direct link to your Shopify store. Each product or variant arrives with its own SKU, images and stock. Recurring sources can re-import on a schedule.
Tell us once which column is the SKU, the price, the title. The same feed can then be re-imported without redoing the work.
Our AI matches each product to an Amazon product type and fills the attributes it can infer. What it cannot infer, it flags. It does not guess.
Work through what was flagged. Often it is one missing value across a whole category, which you fill for every affected product at once. Then publish.
Four sources, and you can combine them. Most catalogues are not 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. We re-fetch it on a schedule, so your catalogue stays current and nobody uploads anything.
Connect the store. Its products, variants, SKUs and stock come across directly, with no export step at all.
See the Shopify integrationDo images or attributes live in a second file, keyed by SKU? Link it onto the first. No merging spreadsheets by hand beforehand.
Recurring sources can re-import on a schedule, and they reuse the column mapping you set once.
Four passes. You see the result of each before anything reaches Amazon.
Reads the title, description and attributes you supplied. Matches the product to an Amazon product type. Everything else depends on this choice.
Can strip backgrounds. Amazon wants a pure white main image, and supplier photos rarely arrive that way.
Fills the fields the category demands, from your data and the product images. What it cannot find, it records. It does not invent it.
Can draft a title and bullet points that read like a listing, not a database row. They are yours to edit before you publish.
The AI gets you to a short list of real decisions. It does not publish for you.
Products are grouped by state: ready, needs a decision, or failed. You work the exceptions, not the whole catalogue.
A missing attribute is usually missing across a whole category. Fill it once. It is written to every product in that category that is waiting on it.
Skip rules drop what should not be listed at all: discontinued lines, zero-stock items, a supplier’s placeholder rows. They go before they cost you AI credits.
Amazon processes submissions later, not at once. Accepting a feed is not the same as accepting the listings inside it. That is where sync tools usually go quiet.
We poll each submission until Amazon returns its outcome. Then we 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. You do not notice a missing listing weeks later.
Once live, stock and price updates flow on their own as you sell across channels. Smart Pricing rules can move your Amazon prices within limits you set.
Smart PricingA business price and up to five quantity discounts on each Amazon listing. Amazon checks them before they are sent.
How Amazon Business prices workSources, mapping and what Amazon does with a submission.
Connect Amazon, eBay, Shopify and Etsy in one place.
