Amazon Marketplace Reconciliation Using ERP

Amazon marketplace reconciliation becomes easier when finance teams compare ERP records against Amazon reports in a structured workflow. Instead of relying on spreadsheets, formulas, and manual checks, Cointab helps teams map fields once, run reconciliation, and review matched and unmatched transactions in an audit-friendly format.

This use case is especially relevant when Amazon reports and internal ERP records do not line up because of returns, fees, deductions, reimbursements, settlement timing, or missing reference fields. Cointab helps finance teams identify these differences clearly so they can review exceptions and close the books with more confidence.

What is reconciled in an Amazon marketplace workflow?

In an Amazon reconciliation setup, the internal ERP system is usually treated as Side A, while Amazon reports are treated as Side B.

Typical Side A records include:

• Sales or order data from the ERP
• Ledger entries from the books
• Internal invoice or receivables records
• SKU or item master data
• Customer or marketplace mapping files

Typical Side B records include:

• Amazon order and invoice reports
• Amazon settlement or disbursement reports
• Return reports
• Reimbursement reports
• Bank settlement records when needed for cross-checking

Finance teams often reconcile more than one Amazon report in the same workflow. For example, they may compare ERP sales to Amazon MTR data, ERP receipts to settlement data, and ERP postings to refund or return reports.

How Cointab handles Amazon reconciliation with ERP data

Cointab uses a reusable reconciliation flow that is designed for finance teams managing recurring marketplace data.

1. Select a popular reconciliation or create a custom one.
2. Upload ERP exports and Amazon reports.
3. Map the required columns such as date, amount, and identifiers.
4. Add supporting files if needed for lookup, enrichment, or calculation.
5. Create derived columns when data needs to be cleaned or normalized.
6. Run reconciliation manually or schedule it to run automatically.
7. Review the report with matched, partially matched, unmatched, and skipped items.
8. Download the Excel output for internal review, audit support, or partner follow-up.

This approach helps teams avoid rebuilding the same Amazon reconciliation every month. Once the setup is ready, the same workflow can be reused for future periods.

Why Amazon and ERP records may not match

Amazon marketplace data often differs from ERP records for normal operational reasons. A structured reconciliation workflow helps surface the actual reason behind each difference.

Common causes include:

• Settlement entries appearing in a different period than the original order
• Refunds or returns posted after the sales entry
• Fees, commissions, or deductions affecting the settled amount
• Reimbursements recorded separately from the sale
• Missing order IDs, invoice numbers, or settlement references
• Amounts posted at gross in one system and net in another
• Duplicate or incomplete rows in the source files
• Files that arrive late or are missed entirely during the period close

Instead of treating every difference as an error, Cointab helps finance teams separate genuine exceptions from items that simply need review.

Typical reconciliation outcomes

Cointab classifies transactions so finance teams can focus on exceptions rather than manually checking every row.

This structure is useful for Amazon marketplace reconciliation because it shows not only what matched, but also what needs review and why.

Matching logic for marketplace reconciliation

Cointab supports structured matching across different data patterns.

For Amazon reconciliation, this can include:

• One-to-one matching between order and invoice records
• One-to-many or many-to-one matching when entries are grouped
• Net-to-net matching when fees or deductions need to be considered
• Identifier-based matching using order IDs, invoice numbers, settlement IDs, or other references
• Partial matching when identifiers are present but amounts differ
• Contra-style matching for offsetting entries

The reconciliation engine applies deterministic logic first. If there are still open items, AI can help analyze difficult cases, but the system remains conservative and keeps weak matches unmatched.

Supporting data and derived columns

Amazon marketplace workflows often need enrichment before reconciliation can be completed properly.

Supporting data can be used to:

• Add missing item or order details
• Map marketplace references to internal IDs
• Combine sales and return data
• Look up fee rates or tax values
• Normalize partner-specific identifiers

Users can also create derived columns using AI-generated formulas. This helps finance teams build clean reconciliation fields without writing formulas manually.

Examples include:

• Clean order ID
• Normalized transaction reference
• Net amount after fees
• Refund amount as a negative value
• Combined reference key
• Delivered payment amount

Derived columns are recalculated every time reconciliation runs, which keeps the workflow reusable and consistent.

Audit-ready reporting for finance teams

Once reconciliation is complete, Cointab shows a report dashboard with summary totals and transaction-level detail.

The report typically includes:

• Total summary counts and amounts
• Fully matched items
• Partially matched items
• Unmatched items
• Skipped items
• Filters for deeper review
• Detailed transaction views
• Excel download for audit and follow-up

This makes it easier for controllers, accounting teams, and marketplace finance teams to explain differences, review open items, and keep a clear record of what was matched and what still needs action.

Manual review and missed files

Not every exception should be handled automatically. Cointab includes manual match functionality for records that the system and AI cannot confidently match.

This is useful when:

• A partner file is incomplete
• Identifiers are missing or inconsistent
• A one-off exception needs business review
• A settlement difference is known by the finance team

If a report was missed, the same reconciliation can be updated with the missing file and refreshed. That is important for real-world Amazon reconciliation, where settlement or support files may arrive later than expected.

Reuse and automation for recurring periods

Amazon marketplace reconciliation is usually a recurring finance task. Cointab is designed so teams can configure the workflow once and reuse it for future periods.

Users can also automate the process through:

• Email-based file receipt
• SFTP-based file delivery
• API-based data input
• Scheduled reconciliation runs
• Automated output delivery to downstream systems

This reduces repetitive manual file handling and helps finance teams keep reconciliation part of the regular operating workflow rather than a one-off spreadsheet exercise.

When this use case is most useful

Amazon marketplace reconciliation using ERP is a good fit when a team needs to:

• Match marketplace sales to internal books
• Review settlement differences against ERP postings
• Reconcile returns, refunds, reimbursements, and deductions
• Track unresolved exceptions by period
• Produce audit-ready reconciliation reports
• Reuse the same workflow across months or quarters

For finance teams managing high-volume marketplace activity, a structured reconciliation process improves visibility, reduces spreadsheet dependence, and makes period-end review more controlled.

Frequently needed reconciliation reports

Teams often use a combination of the following reports in this workflow:

• Amazon order or invoice reports
• Amazon settlement or disbursement reports
• Return reports
• Reimbursement reports
• ERP sales and ledger exports
• SKU or product master files
• Bank statements when settlement verification is required

The exact setup depends on how the company records Amazon activity in the ERP and how much detail is needed for matching.

FAQ

What is Amazon marketplace reconciliation using ERP?

It is the process of comparing Amazon marketplace reports with ERP records to identify matched transactions, differences, missing entries, and settlement-related exceptions.

Which Amazon reports are usually used?

Common reports include order or invoice reports, settlement or disbursement reports, return reports, reimbursement reports, and any ERP exports needed for comparison.

Can the same reconciliation be reused every month?

Yes. Once the workflow is configured, the same reconciliation setup can be reused for future periods by uploading the new files and running the process again.

What happens if a file arrives late?

The missed file can be added to the same reconciliation and the report can be refreshed so the new data is included in the review.

Can Amazon reconciliation be automated?

Yes. Cointab supports automated data input and scheduled reconciliation runs through email, SFTP, or API-based workflows.