Amazon Reconciliation Software for Finance Teams
Cointab is Amazon reconciliation software built for finance teams that need to match internal records with Amazon reports, review exceptions, and export audit-ready reconciliation files. It helps teams handle sales, refunds, fees, settlements, and payout differences without rebuilding the same spreadsheet workflow every month.
Why Amazon reconciliation becomes difficult
Amazon reconciliation usually involves more than matching one sales file to one payment file. Finance teams often need to compare multiple reports, clear exceptions, and understand why a transaction did not settle as expected.
Common challenges include:
- Sales, refunds, and returns appearing across different reports.
- Fees, commissions, storage charges, and deductions reducing the final settlement amount.
- Payouts arriving in batches rather than in simple one-to-one transaction lines.
- Transaction references changing across systems.
- Manual Excel checks becoming difficult to audit and repeat.
- Late or missed reports causing unresolved open items at close time.
How Cointab simplifies Amazon reconciliation
Cointab gives teams a structured workflow for Amazon reconciliation. Users upload the required files, map the important columns once, run reconciliation, and review the results in a dashboard.
For standard Amazon report structures, Cointab can use a popular reconciliation setup. For business-specific workflows, teams can create a custom reconciliation.
Side A and Side B in an Amazon workflow
In Cointab, reconciliation is built around two sides:
- Side A contains your internal records, such as sales data, ERP exports, books, order data, or receivable records.
- Side B contains external records, such as Amazon settlement reports, disbursement reports, refund data, or other marketplace reports.
This structure makes it easier to compare what your business expects with what Amazon actually reports.
What teams configure once
To prepare an Amazon reconciliation, teams typically set up:
- Header row selection.
- Date column mapping.
- Amount column mapping.
- Order ID, transaction reference, settlement ID, or other identifier columns.
- Optional supporting data such as product masters, SKU mappings, return files, or fee lookup files.
If needed, users can also create derived columns with AI-generated Excel-style formulas. This is useful when the data needs to be cleaned, combined, normalized, or calculated before matching.
How the reconciliation engine matches Amazon data
Cointab uses structured matching logic to compare records across both sides. It supports common finance scenarios such as:
- One-to-one matching.
- One-to-many matching.
- Many-to-one matching.
- Many-to-many matching.
- Net-to-net matching.
- Contra matching.
- Partial matching.
This matters for Amazon workflows because a single settlement may represent multiple sales, refunds, deductions, or adjustments. Cointab helps finance teams review those relationships in a controlled and auditable way.
What happens during a reconciliation run
Once the files are mapped, users run reconciliation manually or schedule it to run automatically.
The typical workflow looks like this:
- Upload Amazon and internal finance files.
- Map the required fields.
- Add supporting files if they are needed for lookups or enrichment.
- Create any derived columns.
- Run the reconciliation.
- Review matched, partially matched, unmatched, and skipped records.
- Download the Excel report or use the output in downstream systems.
While the run is processing, users can see live progress so they know the reconciliation is running.
What finance teams review in the report
After the run is complete, Cointab presents the results in a report dashboard. This helps teams focus on exceptions instead of checking every row manually.
The report typically includes:
- Total summary.
- Fully matched records.
- Partially matched records.
- Unmatched records.
- Skipped records.
- Transaction-level tables.
- Filters for deeper review.
- Downloadable Excel output.
Fully matched
These are transactions where Amazon data and internal records match according to the configured logic.
Partially matched
These are related transactions where identifiers match but amounts differ. For Amazon reconciliation, this may point to deductions, returns, fees, or other settlement differences that need review.
Unmatched
These are records present on one side but not found on the other side. They help teams identify missing payouts, missing sales references, or entries that require follow-up.
Skipped
Skipped records are rows that were excluded from reconciliation because of missing data, invalid values, duplicates, or configuration issues. Showing skipped records is important for transparency and audit readiness.
AI support for difficult Amazon exceptions
Cointab uses AI in a conservative, audit-friendly way. After structured matching is complete, AI can help analyze open items where simple rules are not enough.
AI is useful for:
- Building formulas for derived columns.
- Reviewing difficult open transactions.
- Suggesting possible reasons for an exception.
- Identifying whether a file may be missing.
- Helping teams decide whether an item needs correction, follow-up, or manual review.
If the evidence is not strong enough, the record stays unmatched.
Reuse, automation, and team control
Amazon reconciliation is usually a recurring process, not a one-time task. Cointab is built so teams can configure a workflow once and reuse it for future periods.
That means finance teams can:
- Reuse the same reconciliation setup for monthly or weekly runs.
- Schedule reconciliation to run automatically.
- Receive data through email, SFTP, or API.
- Push output back to ERP, accounting, analytics, or BI systems.
- Keep reconciliation history available in the dashboard.
- Work in a shared team workspace with roles, permissions, and audit logs.
If a file was missed, users can upload it later under the same reconciliation and refresh the report without rebuilding the setup.
Common Amazon reconciliation use cases
Cointab can support several Amazon-related workflows, including:
- Sales vs settlement reconciliation.
- Sales vs disbursement reconciliation.
- Refund and return reconciliation.
- Fee and deduction review.
- Books vs settlement review.
- Marketplace reconciliation for recurring finance close activities.
This makes it useful for finance teams that want a structured, reusable process instead of repeated Excel-based comparisons.
Why finance teams choose a structured reconciliation platform
A well-designed Amazon reconciliation process should make it easy to see what matched, what did not match, what was skipped, and what needs action next. Cointab is designed around that principle.
It helps teams:
- Reduce repetitive spreadsheet work.
- Apply the same matching logic consistently.
- Review exceptions faster.
- Keep reconciliation history organized.
- Produce reports that are easier to audit and share.
- Support recurring reconciliation without rebuilding the workflow every month.
FAQs
What does Amazon reconciliation software do?
Amazon reconciliation software compares Amazon reports with internal records such as sales, books, or settlement data. It helps teams match transactions, identify differences, and export reviewable reports.
Can Cointab handle Amazon settlement reconciliation?
Yes. Cointab can be used for Amazon settlement reconciliation, including sales, refunds, fees, deductions, and payout differences. Teams can use a popular reconciliation setup or create a custom workflow.
Can I upload multiple files for one Amazon reconciliation?
Yes. Users can upload multiple files on each side if they follow the configured format. Supporting files can also be added for lookups, enrichment, or calculation.
What if a file is missing during reconciliation?
Users can upload the missed file under the same reconciliation and refresh the report. This is useful when Amazon or another internal file arrives later than expected.
Can Amazon reconciliation be automated?
Yes. Once a workflow is configured, Cointab can support scheduled runs and automated data flow through email, SFTP, or API, depending on the setup.
