Amazon Reconciliation Reports in Cointab

Amazon reconciliation reports help finance teams compare internal sales records with Amazon-side reports such as settlements, disbursements, fees, refunds, returns, and deductions. When transaction volumes grow, this work quickly becomes repetitive in Excel and harder to audit. Cointab provides a structured reconciliation workflow so teams can upload files, map fields once, run reconciliation, and review matched, partially matched, unmatched, and skipped records in a clear report.

What Amazon reconciliation reports usually cover

Amazon-related reconciliation is rarely a single-file exercise. Finance teams often need to compare several reports and understand how each one affects the final settlement position.

Common items include:

• Sales orders and shipment records from internal systems
• Amazon settlement or disbursement data
• Fees, commissions, and fulfillment charges
• Refunds, returns, and reversals
• Deductions, adjustments, and short payments
• Reference IDs such as order IDs, transaction IDs, settlement IDs, or invoice numbers

The goal is not just to see whether totals match. It is to understand which transactions were paid correctly, which ones were short-settled, and which ones need follow-up.

Why Amazon reconciliation becomes difficult

Amazon reconciliation reports can be challenging because the data is spread across multiple sources and the logic often changes by period or report type.

Typical issues include:

• High transaction volumes that are difficult to review manually
• Multiple reports that use different layouts or identifiers
• Fees, deductions, and refunds that affect the final settlement amount
• Timing differences between sales, shipment, payment, and settlement events
• Open items that remain unresolved for long periods
• Repeating the same Excel setup every month or settlement cycle

Manual reconciliation methods often depend on formulas, filters, VLOOKUPs, and copy-paste checks. That may work for smaller files, but it becomes time-consuming and difficult to standardize as the business grows.

How Cointab streamlines Amazon reconciliation reports

Cointab is built for finance teams that need a repeatable way to reconcile Side A and Side B data. For Amazon workflows, Side A is usually the business's internal records, and Side B is the Amazon report or related external file.

A typical setup looks like this:

1. Upload the internal sales, order, or books data on Side A.
2. Upload Amazon settlement, disbursement, or related reports on Side B.
3. Map the required fields such as date, amount, and identifiers.
4. Add supporting files if enrichment or lookup data is needed.
5. Create derived columns when values need to be cleaned, combined, or recalculated.
6. Run reconciliation manually or on a schedule.
7. Review matched, partially matched, unmatched, and skipped transactions.
8. Download the Excel reconciliation report for review and audit support.

This structure makes the process easier to repeat for future settlement periods without rebuilding the workflow from scratch.

Side A and Side B in an Amazon reconciliation workflow

Cointab uses a Side A / Side B model that helps teams stay clear about what is being compared.

Side A: your records

Side A contains the records your business expects to be correct. For Amazon reconciliation, this may include:

• Internal sales reports
• Order-level data
• ERP or books exports
• Ledger summaries
• Receivable working files

Side B: external records

Side B contains the reports received from Amazon or another external source. For Amazon-related use cases, this may include:

• Settlement reports
• Disbursement reports
• Fee and commission reports
• Refund or return reports
• Adjustment or deduction reports

This model is useful because it works beyond one fixed report type. It supports Amazon settlement reconciliation as well as broader marketplace reconciliation workflows.

Matching logic for Amazon settlement reconciliation

Cointab uses structured reconciliation logic to match records across both sides. This is helpful when the same order or settlement is represented in different ways across reports.

The engine supports 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 and reversal scenarios

It also supports comparison methods such as equals, contains, similar, and subset-based logic. That matters when identifiers are not perfectly standardized across Amazon reports and internal files.

For example, a sales order may match a settlement line by order ID, but the amount may differ because of fees, deductions, refunds, or other adjustments. Cointab highlights these cases as partial matches so finance teams can review them instead of treating them as fully matched.

Managing Amazon reconciliation exceptions

A strong reconciliation process is not only about matched transactions. It is also about making exceptions easy to understand.

Cointab separates records into clear categories:

• Fully matched: identifiers and amounts align according to the reconciliation logic
• Partially matched: records are related, but the amounts do not fully align
• Unmatched: records exist on one side but not the other
• Skipped: records were excluded because of missing data, invalid values, duplicates, or other file issues

This helps teams focus on the items that actually need review, instead of scanning every transaction line manually.

Using supporting data and derived columns

Amazon reconciliation often needs supporting files to make the primary reports easier to match.

Examples of supporting data include:

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

Cointab can also create derived columns using formulas generated from natural language prompts. This is useful when finance users know the business rule but do not want to write formulas manually.

Examples of derived columns may include:

• Clean order IDs
• Normalized transaction IDs
• Net amount after fees
• Delivered amount only
• Refund amount as a negative value
• Combined references for matching

Derived columns are recalculated each time reconciliation runs, so the workflow stays reusable.

AI support for difficult open items

After structured matching is complete, some Amazon transactions may still remain open. Cointab uses AI conservatively to assist with these cases.

AI can help finance teams with:

• Formula creation for derived columns
• Analysis of open transactions
• Identification of possible reasons for mismatches
• Suggestions for next actions, such as checking for a missing file or reviewing a refund or deduction

If the evidence is weak, the transaction remains unmatched. That keeps the reconciliation audit-friendly and transparent.

Reuse and automation for recurring Amazon workflows

Amazon reconciliation is usually a recurring process, not a one-time exercise. Cointab is designed so the same setup can be reused across periods.

That means teams can typically:

• Select the existing reconciliation
• Choose the period
• Upload the required files, or use automated input
• Run reconciliation
• Review the report
• Reuse the same setup in the next cycle

For teams that manage frequent settlement or marketplace reporting, Cointab also supports automation through email, SFTP, or API. This makes it possible to move from manual file handling to a more repeatable finance operations workflow.

What finance teams review after reconciliation

Once the run is complete, teams can use the report dashboard to review:

• Total summary
• Matched transactions
• Partial matches
• Unmatched items
• Skipped records
• Detailed transaction tables
• Filtered views for investigation
• Downloadable Excel reports

This is especially useful for month-end close, partner follow-up, and audit preparation because the reasoning behind each record remains visible.

Where Amazon reconciliation reports fit in the wider finance process

Although Amazon settlement is a common use case, the same workflow can support broader marketplace reconciliation, payment reconciliation, and books-to-bank review.

That matters for finance teams that need one consistent process across multiple sources rather than separate spreadsheet methods for each report type. A reusable reconciliation workflow helps standardize how exceptions are handled, how reports are reviewed, and how outputs are shared within the finance team.

FAQs

What is an Amazon reconciliation report?

An Amazon reconciliation report compares internal records with Amazon-side reports such as settlements, disbursements, fees, refunds, and deductions so finance teams can identify differences and open items.

Can Cointab handle Amazon settlement reconciliation as well as sales reconciliation?

Yes. Cointab supports flexible Side A and Side B workflows, so teams can reconcile internal sales or books data against Amazon settlement, disbursement, or related external reports.

How does Cointab handle unmatched or partially matched transactions?

Cointab separates records into fully matched, partially matched, unmatched, and skipped categories. This makes it easier to review exceptions and focus on items that need follow-up.

Can the same Amazon reconciliation setup be reused each month?

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

Does Cointab only work for Amazon reports?

No. Amazon is one common use case, but Cointab is a flexible reconciliation platform for many transaction matching workflows, including marketplace, payment, bank, vendor, and customer reconciliation.