Amazon Shipment Reconciliation for Sellers
Amazon sellers often manage shipment data across multiple reports, including internal order files, Amazon settlement exports, carrier records, payment data, and return information. When these records are compared manually in Excel, it becomes difficult to keep track of missing shipments, amount differences, deductions, and open items.
Cointab helps finance and operations teams run Amazon shipment reconciliation in a structured workflow. Users upload files, map the required fields once, match records across Side A and Side B, review exceptions, and download audit-ready reports.
What Amazon shipment reconciliation covers
In an Amazon workflow, shipment reconciliation is usually more than checking whether an order was shipped. Teams often need to compare multiple data sets to understand whether the business records and external records are aligned.
Common reconciliation comparisons include:
- Internal sales or order reports vs Amazon-related settlement or shipment reports
- Shipment records vs payment or disbursement reports
- Order data vs carrier or logistics partner records
- Sales records vs return, refund, or reversal data
- Internal books vs marketplace-related external records
This helps teams identify whether each transaction was fully matched, partially matched, unmatched, or skipped.
Why shipment reconciliation becomes difficult for Amazon sellers
Amazon shipment workflows usually involve several teams and data sources. That makes manual reconciliation time-consuming and error-prone.
Typical challenges include:
- Multiple report formats across periods and business units
- Missing identifiers such as order ID, shipment ID, or reference number
- Partial matches where the reference is correct but the amount differs
- Returns, refunds, deductions, and fees that affect the final settlement
- Late or missed files that delay month-end review
- Different team members using different Excel logic for the same workflow
- Large files that become difficult to manage manually
For finance teams, these issues slow down period-end close and make exception review harder than it should be.
How Cointab supports Amazon shipment reconciliation
Cointab gives teams a reusable reconciliation setup for Amazon-related shipment workflows. Once configured, the same workflow can be used again for future periods without rebuilding the logic from scratch.
1. Upload Side A and Side B data
Cointab uses a Side A / Side B model:
| Side | What it usually contains |
|---|---|
| Side A | Internal records such as sales, order, books, or shipment working files |
| Side B | External records such as Amazon settlement files, carrier reports, payment data, or return files |
Users can upload CSV, XLS, or XLSX files and map key fields such as date, amount, and order or shipment identifiers.
2. Add supporting data when needed
Some Amazon workflows need enrichment before reconciliation. Cointab supports supporting data such as:
- Product master files
- SKU mapping files
- Fee or rate files
- Order metadata
- Return reports
- Store or marketplace mapping files
This is useful when the source reports do not contain all the fields needed for clean matching.
3. Create derived columns
If a report needs calculation or normalization, users can create derived columns. Cointab can help generate Excel-style formulas from natural language instructions.
Examples include:
- Clean order ID
- Normalized shipment reference
- Net amount after fee
- Refund amount as negative
- Combined reference field
Derived columns are recalculated each time the reconciliation runs.
4. Run structured matching
Cointab’s reconciliation engine supports a range of matching patterns, including:
- One-to-one matches
- One-to-many matches
- Many-to-one matches
- Many-to-many grouping
- Net-to-net comparisons
- Partial matching
- Contra matching
This matters for Amazon shipment reconciliation because one shipment may relate to multiple settlements, deductions, or adjustment lines.
5. Review exceptions clearly
After structured matching is complete, Cointab shows the reconciliation outcome in clear categories:
- Fully matched
- Partially matched
- Unmatched
- Skipped
This makes it easier for teams to focus on open items instead of reviewing every row manually.
What finance teams can review in the report
The reconciliation report gives a transaction-level view of what matched and what still needs attention.
Typical report views include:
- Summary totals
- Matched transactions
- Partial matches with amount differences
- Unmatched records on either side
- Skipped records and the reason they were excluded
- Filters for deeper review
- Downloadable Excel report for internal follow-up and audit support
If a file was missed, users can upload it under the same reconciliation and refresh the report.
Where AI helps in shipment reconciliation
Cointab uses AI to support, not replace, structured reconciliation logic. In Amazon shipment workflows, AI can help in three practical ways:
- Build Excel-style formulas for derived columns
- Analyze open transactions when rules are not enough
- Suggest possible reasons for unmatched items, such as missing files, refunds, fee differences, or partner-side variations
If evidence is not strong enough, the transaction remains unmatched rather than being forced into a weak match.
Why this workflow is useful for recurring Amazon operations
Amazon shipment reconciliation is often repeated every week or every month. Cointab is designed to make that process reusable.
That means teams can:
- Set up the reconciliation once
- Reuse the same logic for future periods
- Run reconciliation manually or on a schedule
- Review exceptions and open items
- Export reports for accounting, operations, or audit teams
This reduces repeated spreadsheet work and helps keep reconciliation more consistent across periods.
Reconciliation use cases for Amazon teams
Cointab can support several Amazon-related workflows, depending on how the business manages its reports:
- Shipment data vs sales data
- Shipment data vs settlement data
- Order data vs payment data
- Internal records vs carrier or logistics partner reports
- Sales and returns vs net settlement amounts
- Books vs marketplace-related external records
The same platform can also be used for other finance workflows beyond Amazon, such as bank reconciliation, vendor reconciliation, and marketplace settlement reconciliation.
Frequently reviewed outcomes in Amazon shipment reconciliation
Finance teams usually want to know:
- Which shipments were fully matched
- Which records matched by reference but not by amount
- Which shipments are missing on one side
- Which rows were skipped because the file was incomplete or invalid
- Which open items need manual review
That clarity is important for month-end close, partner follow-up, and internal reporting.
Reconciliation dashboard and history
Each reconciliation run stays available on the dashboard for future reference. Teams can review the reconciliation name, period, file set, status, run time, and the person who ran it.
This gives Amazon finance teams a shared record of what was reconciled, when it was run, and what the output looked like for that period.
FAQ
What is Amazon shipment reconciliation?
Amazon shipment reconciliation is the process of matching shipment-related records with internal finance or operations data and external Amazon-related reports to identify matched, partial, unmatched, and skipped items.
Can Cointab handle different Amazon report formats?
Yes. Cointab supports reusable reconciliation setups, field mapping, supporting data, and derived columns so teams can work with different file structures across periods.
Does shipment reconciliation only compare shipment files?
No. Amazon workflows often require comparison across sales, payments, settlements, returns, fees, and logistics data. Cointab can reconcile any two sides of records.
What happens if a file is missed?
Users can upload the missed file under the same reconciliation and refresh the report so the new data is included in the workflow.
Can users review unmatched items separately?
Yes. Cointab separates fully matched, partially matched, unmatched, and skipped transactions so finance teams can review exceptions clearly.