Amazon Fee Reconciliation Software for Sellers

Amazon fee reconciliation is the process of matching your internal sales or order records against Amazon settlement, payment, and fee reports to confirm what was charged, what was paid, and what still needs review. For finance teams, this work often involves sales, refunds, deductions, closing fees, referral fees, shipping charges, and other settlement differences that are easy to miss in spreadsheets.

Cointab helps teams run Amazon fee reconciliation in a structured way. You upload the required files, map the relevant fields once, reconcile the data, and review matched, partially matched, unmatched, and skipped records in a report built for finance review.

Why Amazon fee reconciliation becomes difficult

Amazon fee reconciliation is usually more complex than a simple one-to-one match. Teams often need to compare multiple reports across a month, identify missing or delayed settlements, and explain deductions that do not line up with the internal books.

Common challenges include:

• Sales, settlement, and payment data sitting in different reports
• Fees and deductions changing by order, category, fulfillment type, or settlement period
• Refunds, returns, and adjustments creating partial matches
• Large files becoming difficult to manage in Excel
• Manual formulas breaking or becoming hard to audit
• Different team members preparing reconciliation reports in different ways
• Open items staying unresolved until month-end close

When this work is manual, even a routine Amazon reconciliation can take longer than expected and leave exceptions open for too long.

How Cointab supports Amazon fee reconciliation

Cointab is an AI-assisted reconciliation platform that compares Side A and Side B records using a structured, reusable workflow.

For Amazon fee reconciliation, Side A can be your internal sales, order, ERP, or ledger data. Side B can be Amazon settlement, payment, fee, refund, or disbursement reports.

1. Upload and map the reports

Users can upload CSV, XLS, or XLSX files and map the important fields such as:

• Date
• Amount
• Order ID
• Transaction reference
• Settlement ID
• Invoice number
• Any other identifier used in the workflow

If a file does not match the configured structure, the system can reject it with a clear error so the issue is visible early.

2. Add supporting data where needed

Amazon fee reconciliation often needs extra files for context. Cointab supports supporting data for enrichment, lookup, or preparation before the main reconciliation run.

Examples include:

• Product master data
• SKU mapping files
• Fee or tax lookup files
• Order metadata
• Return reports
• Customer or vendor master data
• Reference files used for VLOOKUP-style enrichment

Supporting data is useful when one report needs to be enriched before matching can begin.

3. Create derived columns if the logic needs cleanup

Some Amazon reconciliation workflows need cleaned identifiers or calculated fields before matching. Cointab allows users to create derived columns on both sides.

Examples include:

• Clean Order ID
• Normalized transaction reference
• Net amount
• Amount after fees
• Refund amount as a negative value
• Combined reference field

Users can also use AI to create Excel-style formulas from plain language instructions, which helps finance teams avoid building formulas manually.

4. Run structured matching

Cointab applies reconciliation logic across common matching patterns such as:

• One-to-one matching
• One-to-many matching
• Many-to-one matching
• Many-to-many matching
• Net-to-net comparison
• Partial matching
• Contra matching

This is useful when one Amazon settlement record corresponds to multiple orders, multiple fee lines, or grouped adjustments.

5. Review open items with AI assistance

After structured matching is complete, Cointab can analyze remaining open transactions using AI where rules alone are not enough.

This helps finance teams review items such as:

• Unstructured references
• Slightly different descriptions
• Missing or partial identifiers
• Inconsistent report formats
• Refunds, deductions, or delays that explain a difference

AI is used conservatively so weak matches do not get forced into the report.

6. Review the report and export it

Once the reconciliation is complete, users can review a report that shows:

• Total summary
• Fully matched records
• Partially matched records
• Unmatched records
• Skipped records
• Transaction-level detail
• Filters for deeper analysis
• Excel download for audit and follow-up

This makes Amazon fee reconciliation easier to review internally and easier to share with accounting or audit teams.

What teams usually reconcile in Amazon workflows

Amazon fee reconciliation may include several related data checks, depending on how the business operates.

Sales vs settlement

Compare internal sales or order reports against Amazon settlement or disbursement data to confirm which orders were paid and whether the amounts line up.

Fees and deductions vs expected values

Review deductions such as referral fees, fulfillment fees, closing fees, shipping charges, or other marketplace deductions against what the business expected to see.

Refunds and returns

Match refunds, returns, and reversals so they do not remain open as unexplained variances.

Books vs marketplace records

Compare Amazon-related entries in the books or ERP against marketplace-side reports to find timing differences, missing postings, or unresolved exceptions.

Common exception types in Amazon fee reconciliation

Cointab separates exceptions clearly so finance teams can focus on what needs attention.

• Fully matched: Amount and identifier match according to the configured rule
• Partially matched: Identifier matches, but amount differs
• Unmatched: Record appears on one side but not the other
• Skipped: Record was excluded because it was incomplete, invalid, duplicate, or unusable

For Amazon fee reconciliation, these categories are especially useful because they highlight the difference between a clean settlement, a timing issue, and a real deduction problem.

Reusable workflows for recurring Amazon reconciliation

A major advantage of Cointab is reuse. Once an Amazon reconciliation is configured, the setup can be used again for future periods.

That means finance teams do not need to rebuild the same process every month.

A recurring workflow can be:

1. Select the existing reconciliation
2. Choose the period
3. Upload the latest files or receive them automatically
4. Run reconciliation
5. Review the report
6. Download the Excel output or keep it on the dashboard for future reference

Cointab also supports scheduled reconciliation runs and data automation through email, SFTP, or API, which is useful for teams handling frequent marketplace reporting.

Manual review still stays possible

Not every Amazon discrepancy should be force-matched automatically. If a finance user has the business context and the totals tally, Cointab allows manual matching for exceptions the system or AI could not resolve.

That keeps the workflow practical for real finance operations, where late files, missing references, and one-off adjustments are common.

Amazon fee reconciliation for finance and operations teams

This use case is relevant for teams that need clean reporting across marketplace sales, settlement, and fees.

Typical users include:

• Finance teams
• Controllers
• Accounts receivable teams
• Accounting teams
• Marketplace operations teams
• eCommerce finance teams
• Audit and compliance teams

For these teams, the value is not just matching numbers. It is having a repeatable process that shows what matched, what did not, and what action is needed next.

FAQs

What reports are typically used for Amazon fee reconciliation?

Teams usually reconcile internal sales or order data against Amazon settlement, disbursement, fee, refund, and adjustment reports. The exact file set depends on how the business records Amazon transactions.

Can Cointab handle refunds and deductions in the same workflow?

Yes. Cointab can reconcile related records such as sales, refunds, deductions, and settlement entries within the same configured workflow when the reports follow the expected structure.

Is the Amazon reconciliation setup reusable?

Yes. Once configured, the same reconciliation can be reused for future periods, which reduces repeat setup work and helps standardize reporting.

What happens if a file is missing?

If a report arrives late or was missed, it can be uploaded under the same reconciliation and the report can be refreshed so the latest data is included.

Can finance teams review unmatched items separately?

Yes. Cointab separates fully matched, partially matched, unmatched, and skipped records so teams can focus on the exceptions that need review.