Amazon Seller Central integration for Rig
The easiest way to connect Amazon Seller Central to Claude and other AI tools
Amazon Seller Central is where third-party sellers manage listings, orders, FBA inventory and payouts across Amazon marketplaces, exposed through the Selling Partner API.
What Rig syncs from Amazon Seller Central
Once connected, Rig models these objects so questions resolve to the right tables and joins:
- Orders
- Order items
- Products and ASINs
- FBA inventory
- Settlements
- Fees
- Returns
- Shipments
How Amazon Seller Central connects to Rig
Rig Ingest pulls your orders, order items, ASINs, FBA inventory, settlements, fees and returns from the Amazon Selling Partner API into your warehouse on a schedule. Rig models orders to item grain and joins settlements and fees so true net proceeds and per-ASIN performance resolve correctly.
Track marketplace revenue and AOV by ASIN
Gross sales is order item price times quantity, and AOV is gross sales divided by order count. Rig reads Amazon orders and order items, so you can break revenue and AOV down by ASIN, marketplace and period, and compare FBA against FBM fulfilment without manual report pulls.
- What was gross sales and AOV by marketplace last month?
- Which ASINs drove the most revenue this quarter?
- Compare revenue for FBA versus FBM orders
Measure repeat purchase and LTV by ASIN
Repeat-purchase rate is the share of buyers who order again, and LTV is cumulative net proceeds per buyer over time. Rig joins Amazon order history by buyer where available, so you can build cohorts, track which ASINs drive repeat orders, and compare lifetime value by first product.
- What is the repeat-purchase rate by acquisition cohort?
- Which ASIN leads to the highest repeat order rate?
- Show 12-month LTV for buyers acquired this year
Analyse product and FBA inventory performance
Rig reads Amazon products, ASINs and FBA inventory alongside order items, so you can rank ASINs by units and revenue, flag low-stock FBA SKUs, and spot slow movers tying up storage. That keeps fast sellers in stock and surfaces aged inventory before storage fees pile up.
- Which ASINs are selling fast but low on FBA inventory?
- Show sell-through rate by ASIN over the last 90 days
- Which SKUs have aged FBA inventory at risk of long-term storage fees?
Reconcile fees, settlements and true net proceeds
Net proceeds is gross sales less referral fees, FBA fees, refunds and other deductions captured in settlements. Rig joins Amazon settlements and fees to orders, so you can see real take-home per ASIN and order rather than headline sales, and spot products where fees erase the margin.
- What were net proceeds by ASIN after all Amazon fees last month?
- Which ASINs have the highest fee burden as a share of sales?
- Reconcile a settlement payout to its underlying orders and fees
Ask your Amazon Seller Central data in Claude, ChatGPT or Cursor
Rig serves your Amazon Seller Central data to AI assistants over MCP. Once Amazon Seller Central is synced into your warehouse, you can ask questions in plain English from the tool you already use, and every answer is backed by validated, governed SQL.
Frequently asked questions
- What Amazon Seller Central data does Rig sync?
- Orders, order items, products and ASINs, FBA inventory, settlements, fees, returns and shipments pulled from the Selling Partner API.
- Can Rig show true net proceeds after Amazon fees?
- Yes. Rig joins settlements and fees to orders, so net proceeds, fee burden and per-ASIN margin questions are answered in plain English.
- Can I query Amazon Seller Central data in Claude or ChatGPT?
- Yes. Once your Selling Partner data is synced to your warehouse, Rig serves it to Claude, ChatGPT, Cursor and other AI tools over MCP.
- How often does Amazon data refresh?
- Rig Ingest syncs on a schedule you set, picking up new orders, returns and settlement reports as the Selling Partner API makes them available.
Related integrations
Connect Amazon Seller Central data to AI tools like Claude
Rig builds a governed context layer over your data so every team, and every AI tool, asks questions and gets answers they can trust.