Sellers and vendors look like the same business from the outside — both sell on Amazon, both pull data from SP-API. The data structure underneath is not the same. Anyone running both at once knows the friction.

This guide is about the data-layer differences and what changes when you have to report across both.

TL;DR: Seller Central is your account selling direct to customers (you keep inventory, you set prices, you handle returns). Vendor Central is selling wholesale to Amazon retail (Amazon owns the inventory, sets retail prices, handles fulfillment). The data structures, terminology and metrics are different. Brands running both need a data layer that reconciles them into a single view.

The business model difference

Seller Central

• You are the seller of record.
• You own the inventory.
• You set the retail price.
• Amazon takes referral fees and (if FBA) fulfillment fees.
• You handle customer service, returns, refunds.

Vendor Central

• Amazon is the seller of record.
• Amazon owns the inventory after purchase.
• Amazon sets the retail price.
• You sell wholesale via purchase orders (POs).
• Amazon handles fulfillment and customer service.

The data difference

Seller Central data

• Orders, shipments, settlements at the order line level.
• FBA inventory by SKU and warehouse.
• Per-order fees and net deposits.
• Customer-level data (with restricted PII approval).
• Direct ad attribution to sales.

Vendor Central data

• POs, shipments, invoices, returns at the product level.
• Retail analytics: traffic, conversion, glance views.
• Inventory health flags: chronic out-of-stock, unhealthy SKUs.
• Sourcing share, contribution profit, in-stock rate.
• Forecasting data for upcoming demand.

The same product sold through both channels has fundamentally different metrics in each.

What each channel gives you that the other does not

Seller Central wins for

• Real-time control over pricing and listings.
• Direct customer relationship (with PII approval).
• Higher margins (no wholesale margin to Amazon).
• Direct ad attribution.

Vendor Central wins for

• Predictable wholesale revenue.
• Amazon-managed fulfillment and customer service.
• Access to Amazon Retail demand signals.
• Brand programs only available to vendors.

Running both at once

Brand owners frequently sell the same product through both channels — DTC margins via Seller Central plus wholesale stability via Vendor Central. The reporting challenge:

• Combined revenue requires summing across two different schemas.
• Inventory total requires reconciling FBA inventory with vendor warehouse status.
• Margin comparisons need two different fee structures applied.
• Forecasting needs to weight both channels by their respective velocity.

This is exactly the kind of work an Amazon data layer should hide. One query returns “total revenue across both,” not five spreadsheets joined manually.

The bottom line

Sellers and vendors are different businesses with different data. Brands running both need tooling that knows the difference and presents one coherent view on top.

DataDoe handles both natively. Seller Central data layer and Vendor Central data layer reconcile into a single dataset for brands running both.