Amazon Payment Reconciliation Software for Sellers

Amazon payment reconciliation helps marketplace finance teams compare what they expect to receive with what Amazon actually reports and settles. For sellers, that usually means matching internal order and sales records against Amazon MTR, disbursement, return, and bank deposit data so exceptions can be reviewed early.

Cointab provides a reusable reconciliation workflow for Amazon payments and marketplace settlements. Finance teams can upload files, map fields once, run reconciliation, review matched and unmatched records, and download audit-ready reports.

What Amazon payment reconciliation typically covers

Amazon reconciliation is rarely a single report comparison. In practice, finance teams often need to review several data sets together:

• Internal sales or order data on Side A
• Amazon MTR or marketplace sales reports
• Amazon disbursement or settlement reports on Side B
• Returns, refunds, and reversals
• Bank statements showing actual deposits
• Supporting data such as SKU master files, mapping files, or fee inputs

This makes Amazon payment reconciliation a good fit for Cointab’s Side A / Side B model. Side A contains your internal records. Side B contains the Amazon records or bank records you want to compare against.

How Cointab handles Amazon reconciliation

Cointab follows a structured workflow designed for finance teams:

1. Create a new reconciliation or use a popular Amazon reconciliation setup.
2. Upload the required files on Side A and Side B.
3. Map date, amount, and identifier fields such as order ID, transaction ID, or settlement reference.
4. Optionally upload supporting data for lookups, enrichment, or calculation.
5. Create derived columns if amounts or identifiers need to be normalized.
6. Run reconciliation manually or on a schedule.
7. Review fully matched, partially matched, unmatched, and skipped records.
8. Download the Excel reconciliation report or keep it available on the dashboard for later review.

This approach keeps the process transparent. Finance teams can see what was matched, what was not matched, and what needs follow-up.

What gets matched in an Amazon reconciliation

An Amazon payment reconciliation workflow can help compare records across multiple layers of the settlement process.

Order and payment matching

Teams can compare internal order or sales data with Amazon payment or disbursement records to identify:

• Orders that were paid correctly
• Orders that were short-settled
• Orders that were over-settled
• Orders still awaiting settlement
• Orders present in one file but missing in another

Settlement and bank matching

Amazon settlement reports can then be compared with bank statements to verify whether the money actually reached the account as expected.

Returns, refunds, and deductions

Returns, refunds, reversals, and fee deductions often explain why a settlement does not match the original sales value. Cointab helps surface these open items so finance teams can review them without manually searching through large spreadsheets.

Common exceptions in Amazon payment reconciliation

Amazon payment reconciliation often creates exceptions that require finance review rather than simple formula-based checking.

Typical exception types include:

• A payment is missing from the settlement report
• A settlement amount differs from the expected amount
• A return or refund has not been accounted for
• A bank deposit does not match the Amazon settlement amount
• A transaction is present on one side but missing on the other
• A record is incomplete, invalid, or excluded from reconciliation

Cointab separates these records into clear status buckets so teams can focus on exceptions instead of reviewing every row manually.

Matched, partially matched, unmatched, and skipped records

Amazon reconciliation is more useful when the output is easy to interpret.

Fully matched

Fully matched records are transactions where the relevant identifiers and amounts align according to the reconciliation logic.

Partially matched

Partially matched records usually mean the identifiers match, but the amounts differ. This is helpful when the transaction is related, but the settlement amount still needs review.

Unmatched

Unmatched records are present on one side but cannot be found on the other side.

Skipped

Skipped records are rows that were not included in the reconciliation because of missing data, invalid values, duplicate rows, or another file issue.

Showing skipped records is important in finance operations because it explains why some data was not processed.

Supporting data and derived columns

Amazon payment reconciliation often needs supporting files to make the primary reports usable.

Examples include:

• SKU master files
• Product mapping files
• Fee or rate inputs
• Order metadata
• Return files
• Customer or vendor reference data

Cointab also supports derived columns. If a finance team needs a clean reference, a normalized amount, or a calculated field, they can create it using AI-assisted formula generation. This helps reduce manual Excel work while keeping the logic reviewable.

Why finance teams use a structured reconciliation engine

Manual Amazon reconciliation in Excel can become slow and difficult to audit, especially when multiple files need to be compared across orders, settlements, and bank records.

A structured reconciliation engine helps by:

• Applying matching rules consistently
• Handling one-to-one, one-to-many, many-to-one, and grouped matching scenarios
• Identifying differences clearly
• Keeping the reconciliation setup reusable for future periods
• Reducing repetitive spreadsheet work
• Making review and follow-up easier for finance teams

For Amazon sellers with recurring settlement cycles, reuse matters. Once the workflow is configured, the same setup can be run again for the next period without rebuilding the reconciliation from scratch.

Reconciliation reports and audit readiness

After reconciliation completes, users can review a report dashboard that summarizes the run and shows transaction-level detail.

A typical Amazon reconciliation report includes:

• Total summary
• Fully matched summary
• Partially matched summary
• Unmatched summary
• Skipped summary
• Filterable transaction tables
• Detailed matched transaction views
• Excel download for internal review and audit support

This gives finance teams a single place to review the reconciliation outcome and keep an audit-friendly record of what happened in each run.

Reuse and automation for recurring Amazon workflows

Amazon payment reconciliation is usually a recurring process, not a one-time task. Cointab supports that by allowing teams to reuse the same reconciliation setup for future periods.

Recurring workflows can also be automated through:

• Email
• SFTP
• API integrations

That means Cointab can receive source files, run reconciliation on schedule, and prepare outputs for downstream systems when the data is ready.

This is useful for finance teams that want to reduce manual uploads and keep reconciliation part of their regular finance operations.

Using Cointab for Amazon finance operations

Cointab is designed for teams that need a practical reconciliation workflow for Amazon and other marketplace data. Instead of relying on repeated spreadsheet comparisons, finance teams can work in a shared workspace, review exceptions clearly, and keep reconciliation outputs available for future reference.

For Amazon payment reconciliation, that means:

• clearer control over settlement differences
• faster exception review
• reusable setup for repeat periods
• audit-ready reporting
• less dependence on manual Excel checks