Global Payments Gateway Charges Verification

Cointab helps finance teams verify Global Payments gateway charges by matching internal records with gateway, settlement, ERP, and bank data. Instead of checking every transaction manually in Excel, teams can upload files, map fields once, run reconciliation, and review matched, partially matched, unmatched, and skipped records in a structured report.

This is useful when you need to confirm whether charges, fees, deductions, refunds, chargebacks, or settlement differences have been recorded correctly. It also helps teams spot missing payouts, delayed settlements, and mismatches between what was expected and what was received.

Why Global Payments charge verification matters

Payment gateway charges often affect multiple finance processes at once:

• customer collections and receipts
• settlement tracking
• fee and deduction review
• refund and chargeback analysis
• bank reconciliation
• ERP or books reconciliation

When these records are checked manually, finance teams often rely on VLOOKUPs, filters, and repeated spreadsheet comparisons. That makes it harder to trace exceptions, explain differences, and reuse the same process for the next period.

Cointab provides a reusable reconciliation workflow so the same charge verification setup can be used for future months, periods, or daily runs.

What can be reconciled in a Global Payments workflow

A Global Payments use case can compare any two sides of relevant transaction data.

Side A: your records

Side A is the data your business expects to be correct. In this workflow, that may include:

• website or order report
• internal sales report
• ERP export
• books or ledger data
• settlement working file
• accounts receivable or finance system output

Side B: external records

Side B is the data received from Global Payments or related financial systems. That may include:

• payment gateway report
• settlement report
• refund report
• payout report
• bank statement
• external fee or deduction report

This Side A / Side B model makes it easier to check whether the amounts charged, settled, refunded, or deducted line up with internal expectations.

Common charge verification scenarios

Sales vs payment gateway

Use this when your internal sales or order report needs to be checked against Global Payments transaction data. Cointab can identify:

• fully matched payments
• partial matches where the order reference matches but the amount differs
• missing payments on either side
• duplicate or unexpected records

Website vs settlement report

This is useful when the business wants to verify whether orders and settlements align after gateway processing. Teams can review:

• settlement differences
• delayed settlements
• refunded orders
• deductions that reduce the received amount

ERP vs payment gateway or bank

This workflow helps finance teams compare gateway data with ERP or book entries. It is commonly used to find:

• missing receipts
• duplicate entries
• timing differences
• incorrect fee posting
• settlement mismatches

Bank vs books

When Global Payments settlements have already reached the bank, teams can reconcile bank statements against the ledger to confirm that receipts and gateway settlements are recorded accurately.

How Cointab supports charge verification

Upload files and map fields once

Users can upload CSV, XLS, or XLSX files and map the required columns such as:

• date
• amount
• transaction ID
• order ID
• settlement ID
• bank reference
• payout reference

If needed, multiple files can be uploaded on either side, as long as they follow the configured format.

Add supporting data where needed

Supporting files can be used to enrich or prepare the main reports before reconciliation. For a Global Payments workflow, this may include:

• order metadata
• product master
• fee rate file
• return report
• customer or merchant mapping file
• tax or GST mapping file

These files are not reconciled directly. They help complete the primary data before the match run.

Create derived columns with AI

Finance users can create derived columns using AI-assisted formulas. This helps when the matching logic needs a cleaned reference, net amount, or adjusted value.

Examples include:

• clean transaction reference
• net amount after fee
• refund amount as negative
• normalized order ID
• amount excluding tax

Derived columns are recalculated whenever the reconciliation is run.

Run structured matching

Cointab's reconciliation engine supports more than simple one-to-one matching. It can handle:

• one-to-one matches
• one-to-many and many-to-one matches
• many-to-many grouping
• net-to-net comparisons
• contra matching
• partial matching

This is important for payment gateway workflows where one settlement line may represent multiple transactions, fees, or adjustments.

Review exceptions clearly

Once reconciliation is complete, the report separates records into:

• fully matched
• partially matched
• unmatched
• skipped

This makes it easier for finance teams to focus on exceptions rather than reviewing every row manually.

What issues charge verification can highlight

A Global Payments reconciliation workflow can help surface common differences such as:

• gateway fees not reflected in internal books
• deductions that reduce settlement amounts
• refunds that were processed in the gateway but not posted internally
• chargebacks or reversals that need review
• missing settlements
• duplicate internal entries
• timing gaps between gateway activity and bank receipt
• order records that do not match the settled amount

These differences are often easier to resolve when the exception is isolated with clear supporting transaction detail.

Manual review and missed file refresh

Some items require business context and cannot be matched confidently by rules alone. Cointab supports manual matching for these cases, while keeping the action visible in the report.

If a file was missed during the initial run, the user can upload it under the same reconciliation and refresh the report. This is useful when a late settlement report or bank file arrives after the first run.

Reusable and automated reconciliation

Once a Global Payments workflow is configured, it can be reused for future periods without rebuilding the setup from scratch.

Cointab also supports automated data flow through email, SFTP, or API, so recurring reconciliation can become part of finance operations rather than a one-time spreadsheet exercise.

This helps teams:

• reduce manual file handling
• run reconciliations on a schedule
• keep reports up to date
• push outputs to downstream systems when needed

Audit-ready reporting

After the run, users can download Excel reports that show matched, partially matched, unmatched, and skipped transactions. The dashboard also keeps past reconciliation runs available for future reference.

That gives finance teams a clear trail of:

• what data was used
• when the run happened
• which records matched
• what remains open
• what needs follow-up

When this workflow is most useful

Global Payments charge verification is most valuable when the finance team handles recurring payment volume and needs a repeatable process for reviewing fees, settlements, and exceptions. It is especially useful for:

• eCommerce finance teams
• accounts receivable teams
• controllers and finance managers
• reconciliation teams
• marketplace operations teams
• audit and compliance teams

Frequently reconciled outcomes

A well-structured payment gateway reconciliation process can help teams answer questions such as:

• Did the expected payment settle correctly?
• Were all gateway fees and deductions posted?
• Are refunds and reversals recorded on both sides?
• Is the bank receipt aligned with the settlement report?
• Which items need manual review before close?

Reuse across future periods

The same configuration can be used again for monthly, quarterly, yearly, or custom periods. Once the workflow is set up, future runs usually require only three steps:

• select the reconciliation
• select the period
• upload or receive the required files

That makes Global Payments charge verification more consistent across close cycles and more manageable as data volume grows.