Adyen Payment Gateway Reconciliation
Adyen payment data often sits across several reports, while finance teams also need to compare it against website orders, ERP exports, refund data, and bank statements. Cointab brings those records into a structured reconciliation workflow so teams can match transactions, isolate differences, and export audit-ready reports without rebuilding spreadsheets each month.
Why Adyen reconciliation becomes complex
Adyen reconciliation is rarely a simple one-to-one match. Finance teams typically need to account for:
- settlement timing differences between payment capture and bank credit
- refunds, chargebacks, reversals, and partial payments
- gateway fees and deductions
- order-level identifiers that appear in different formats across systems
- transactions that are split, grouped, or netted before payout
Manual Excel checks can work for small files, but they become harder to audit when the reconciliation includes multiple periods, multiple reports, or large transaction volumes.
Common Adyen records used in reconciliation
Cointab treats your internal records as Side A and Adyen or other external records as Side B.
| Source | Side | Typical reconciliation use |
|---|---|---|
| Website sales report | Side A | Compare orders, captured payments, refunds, and cancellations |
| ERP export | Side A | Check revenue, invoices, settlements, and accounting entries |
| Adyen settlement report | Side B | Match settled payments and settlement deductions |
| Adyen refund report | Side B | Review refunded or reversed transactions |
| Bank statement | Side B | Confirm receipt of settled funds in the bank |
You can also upload supporting data such as product masters, fee rate files, return reports, or lookup files when extra context is needed before matching.
How Cointab handles Adyen payment gateway reconciliation
A typical workflow is:
- Upload the required files for Side A and Side B, or configure automated input.
- Map the key fields such as date, amount, and identifier columns.
- Add supporting files if you need lookups, merges, or enrichment.
- Create derived columns when a clean identifier or amount needs to be calculated.
- Run reconciliation manually or on a schedule.
- Review matched, partially matched, unmatched, and skipped records.
- Download the Excel report and share the output with finance or audit teams.
Cointab supports common identifiers such as order ID, transaction ID, payment reference, invoice number, and bank UTR. If a file does not match the configured format, the system can reject it with a clear error so the workflow stays controlled.
What the reconciliation engine can match
Adyen data often needs more than a simple lookup. Cointab supports structured matching for scenarios such as:
- one-to-one matches between orders and settlements
- one-to-many or many-to-one matches when payments are grouped
- partial matches when identifiers match but amounts differ
- net-to-net comparisons for settlement and payout analysis
- contra entries and other offsetting records
This is useful when a payment is captured on one side, settled later on another, or adjusted by fees, refunds, or deductions before it reaches the bank.
What finance teams review after the run
The report separates records into clear reconciliation outcomes:
- Fully matched: the records match on the defined logic
- Partially matched: the records are related, but amounts differ
- Unmatched: the record appears on one side but not the other
- Skipped: the row was excluded because it was incomplete, invalid, duplicate, or otherwise unusable
This makes exception management more focused. Instead of reviewing every line manually, finance teams can work directly from the open items list.
Typical Adyen reconciliation scenarios
Cointab is used for Adyen reconciliation in several common workflows:
Website sales vs Adyen settlement
Compare captured sales against Adyen settlement data to identify paid, missing, underpaid, overpaid, refunded, or unmatched orders.
ERP vs Adyen settlement
Check whether revenue entries, invoice records, and settlement values align across the ERP and payment gateway reports.
Adyen vs bank statement
Confirm whether settled amounts actually reached the bank and whether the timing and net values align with the bank statement.
Adyen refunds and reversals
Match refund and reversal records to the original transaction so finance teams can review deductions and balance adjustments.
Reuse and automation for recurring periods
Once the Adyen reconciliation is configured, the same setup can be reused for future periods. That is useful for daily, weekly, monthly, or period-end workflows where the report structure stays consistent.
Cointab can also automate data flow through email, SFTP, or API-based inputs. After the required files arrive, reconciliation can run automatically and the output can be delivered back to internal systems through email, SFTP, or API.
That helps finance teams reduce repeat work and keep reconciliation history available in one dashboard.
Team-based review and audit readiness
Cointab supports shared team workspaces, so finance, accounting, and audit users can work from the same reconciliation history. The dashboard shows previous runs, the period reconciled, the status, and the user who ran the workflow.
For audit and review purposes, users can download Excel reports containing the matched, partially matched, unmatched, and skipped records.
Frequently asked questions
Can Cointab reconcile Adyen against more than one internal system?
Yes. A workflow can include multiple files on Side A and multiple files on Side B, as long as the reconciliation is configured accordingly.
What if a supporting file is received late?
You can upload the missed file under the same reconciliation and refresh the report so the new data is included.
Can finance teams use custom fields and formulas?
Yes. Users can create derived columns using AI-assisted formula generation or standard Excel-style logic when a clean identifier or amount needs to be calculated.
How are exceptions handled?
Open transactions can be reviewed as unmatched or partially matched records, and users can manually match items when the totals and business context support it.