Amazon Reconciliation Software for Finance Teams

Amazon reconciliation software helps finance teams match marketplace sales data against settlement, fee, refund, and disbursement records. Instead of rebuilding Excel models for every period, teams can upload the required files, map fields once, run reconciliation, and review exceptions in a structured report.

Cointab is built for finance teams that need a repeatable Amazon reconciliation workflow with clear visibility into what matched, what did not match, and what needs follow-up.

What Amazon reconciliation covers

Amazon reconciliation is the process of comparing internal records with Amazon-side reports so finance teams can confirm that sales and cash movements are recorded correctly. In practice, this often means comparing:

• Internal sales or order data against Amazon marketplace reports
• Expected settlement values against actual disbursements
• Refunds, returns, and adjustments against books
• Fees, commissions, and deductions against internal calculations
• Open items from one period against the next period’s settlement or payout file

For many teams, Amazon reconciliation is not a single report review. It is a workflow that includes sales, settlement, fees, returns, chargebacks, and timing differences across multiple files.

Why Amazon reconciliation becomes difficult

Amazon-related finance data often comes in different formats and at different times. That creates operational challenges such as:

• Multiple reports that need to be matched together
• Order-level and settlement-level records that do not always line up one-to-one
• Refunds, fees, deductions, and reversals that make the net amount harder to trace
• Late or missed files that leave items open until the next cycle
• Large file sizes that are difficult to manage in spreadsheets
• Manual formulas and VLOOKUP-based checks that are hard to audit
• Reconciliation steps that must be repeated every month or every settlement period

When these tasks are handled in Excel alone, the process becomes slow, inconsistent, and difficult to review later.

How Cointab handles Amazon reconciliation

Cointab gives finance teams a structured reconciliation workflow for Amazon and other marketplace data.

1. Start with a popular or custom reconciliation

Teams can use a popular reconciliation when the workflow is standard, such as Amazon MTR vs Disbursement. They can also create a custom reconciliation when the business needs to compare Amazon data with internal sales, books, ERP exports, or other supporting reports.

2. Upload the required files

Users upload the primary reports on Side A and Side B. Side A is the business record, such as internal sales, books, or order data. Side B is the external record, such as Amazon settlement, payout, fee, or return data.

Cointab supports CSV, XLS, and XLSX files.

3. Map the fields once

For each report, users map the important columns such as:

• Date
• Amount
• Order ID, transaction ID, settlement ID, or another identifier
• Additional columns needed for grouping or comparison

If a file does not match the configured format, the system rejects it with a clear error so users can fix the issue before running reconciliation.

4. Add supporting data when needed

Amazon workflows often need supporting files for enrichment or lookup. These are not reconciled directly, but they help complete the primary data before matching.

Examples include:

• Product master files
• SKU mapping files
• Fee rate files
• Return reports
• Order metadata
• Store or marketplace mapping files
• Customer or vendor master data

5. Create derived columns when logic is needed

If the reconciliation requires a calculated field, users can create derived columns on either side. Cointab can also help generate Excel-style formulas from a natural-language description.

This is useful for fields such as:

• Net amount
• Clean order ID
• Normalized transaction reference
• Amount after fee
• Refund amount as a negative value
• Delivered payment amount

6. Run reconciliation and review live progress

When the user runs reconciliation, Cointab processes the files and shows progress while the workflow runs. The engine applies structured matching logic first, then analyzes open items using AI where rules alone are not enough.

7. Review the report and exceptions

Once the run is complete, the report shows:

• Fully matched transactions
• Partially matched transactions
• Unmatched transactions
• Skipped transactions

Users can filter the results, inspect transaction-level detail, manually match items when needed, and download the Excel report for internal review or audit support.

What gets matched in an Amazon workflow

Cointab supports Amazon reconciliation patterns that finance teams commonly need, including:

• Sales orders matched to marketplace or payout records
• Amazon settlement entries matched to expected receipts
• Refunds matched to returns or reversal entries
• Fees and commissions matched to deduction lines
• One-to-one, one-to-many, many-to-one, and grouped comparisons
• Net-to-net and contra matching where the business logic requires it

This matters because Amazon reconciliation is often not a simple equals check. A single order may appear across multiple lines, or multiple lines may need to be combined before they can be compared.

How exceptions are handled

Cointab makes exception handling visible so finance teams can focus on unresolved items rather than manually checking every row.

Fully matched

These are records where the identifiers and amounts match according to the configured reconciliation logic.

Partially matched

These are records where the identifiers match, but the amounts differ. This is useful when the underlying transaction is related, but there is a fee, deduction, return, rounding difference, or settlement timing issue that needs review.

Unmatched

These are records present on one side but not found on the other. In Amazon reconciliation, this can point to missing disbursements, timing differences, incorrect references, or incomplete internal records.

Skipped

These are rows that were excluded because of missing data, invalid values, duplicates, or another file/data issue. Skipped records remain visible so users know exactly what was ignored and why.

Manual match

If the system and AI cannot confidently match a transaction, users can manually match the records when the totals tally and the business context supports it. Manual matches remain clearly marked for auditability.

Why finance teams use Cointab for Amazon reconciliation

Cointab is designed to reduce the repetitive work that usually surrounds marketplace reconciliation.

• Reuse the same setup for future periods instead of rebuilding spreadsheets every month
• Handle standard Amazon workflows with popular reconciliation templates
• Create custom rules for business-specific reconciliation logic
• Use AI to help with formulas and difficult open-item review
• Keep matched, partially matched, unmatched, and skipped records separate and easy to review
• Download audit-ready Excel reports for internal teams, auditors, or partner follow-up
• Work in a shared team workspace instead of passing files around by email

Reconciliation automation for recurring Amazon workflows

Amazon reconciliation is often recurring, which makes automation especially valuable.

Once a workflow is configured, Cointab can support scheduled runs and automated data input through email, SFTP, or API-based workflows where the customer has that setup in place. This helps teams reduce manual uploads and keep reconciliation moving on a daily, weekly, or monthly basis.

Cointab can also support automated output delivery so that reconciliation results can be pushed back to internal systems, such as finance, accounting, BI, or reporting workflows.

A better fit than spreadsheet-only reconciliation

Spreadsheet-based reconciliation can work for small files, but it becomes harder to manage as Amazon transaction volume grows.

Cointab gives finance teams:

• A repeatable reconciliation process
• Clear side-by-side data handling
• Structured matching logic
• Exception-focused review
• Audit-friendly outputs
• Reusable templates for recurring periods

That makes Amazon reconciliation easier to control, easier to explain, and easier to hand over across team members.

Common Amazon reconciliation scenarios

Typical Amazon-related workflows include:

• Amazon sales vs settlement reconciliation
• Amazon sales vs payout reconciliation
• Marketplace settlement vs books reconciliation
• Refund and return reconciliation
• Fee and deduction reconciliation
• Open-item review across settlement periods

These workflows help finance teams confirm that marketplace revenue, deductions, and cash receipts are aligned with internal records.

FAQ

What files are usually used for Amazon reconciliation?

Common files include internal sales or order reports, Amazon settlement reports, payout records, fee reports, refund reports, and return data. Supporting files such as SKU mapping or product masters can also help prepare the data before reconciliation.

Can Amazon reconciliation be automated?

Yes. Once a workflow is configured, reconciliation can be scheduled and data can be received or pulled through automated workflows such as email, SFTP, or API-based input, depending on how the customer has set up the process.

What happens if a file is missing?

If a file is missed, users can upload it under the same reconciliation and refresh the report. This is useful when marketplace or payout reports arrive later than expected.

How does Cointab handle Amazon fees and refunds?

Fees, commissions, refunds, and deductions can be included in the reconciliation logic as part of the matching and review process. Teams can also use supporting data or derived columns when those values need to be calculated or normalized first.

Can the same Amazon reconciliation be reused for future periods?

Yes. Once a reconciliation is configured, the same setup can be reused for future periods. Users typically select the reconciliation, choose the period, upload the required files, and run the workflow again.