Myntra Payment Gateway Fee Reconciliation
Myntra payment gateway fee reconciliation helps finance teams compare internal order records with the fee amounts reported in Myntra reports. Instead of checking each order manually in Excel, teams can upload the relevant files, map the required fields once, apply the right fee logic, and review matched, different, unmatched, and skipped records in a structured report.
This is useful when fee review needs to happen regularly across large order volumes, multiple periods, or different marketplace reporting formats. Cointab gives finance teams a reusable reconciliation workflow for reviewing expected fee amounts against reported fee amounts and identifying variances that need attention.
Reconcile Myntra fee data with a structured workflow
At a high level, the reconciliation compares two sides of data:
| Side | Typical data | Purpose |
|---|---|---|
| Side A | Internal sales, order, or working files | Shows the amount or fee your team expects to see |
| Side B | Myntra reports | Shows the fee amount reported by Myntra |
The workflow is designed for finance teams that need transparency into what matched, what did not match, and why.
Typical reconciliation steps
- Upload the Side A and Side B files.
- Map the required fields such as date, amount, and order or transaction identifiers.
- Add supporting data if needed, such as product, category, or rate information.
- Create derived columns where fee logic needs cleaning or calculation.
- Run the reconciliation manually or on a schedule.
- Review the report by matched, partially matched, unmatched, and skipped records.
- Download the Excel output for review, audit, or follow-up.
What Cointab checks in Myntra fee reconciliation
Cointab helps teams compare the fee reported by Myntra against the fee expected from the configured logic for that period, category, or workflow.
Common checks include:
- Whether the order reference matches across both sides
- Whether the reported fee aligns with the expected fee
- Whether the difference is due to a rate issue, missing record, or data mismatch
- Whether any rows should be excluded because they are incomplete or invalid
- Whether a file or data source is missing from the current run
If the same reconciliation is repeated every month, the setup can be reused instead of rebuilding the workflow from scratch.
Output finance teams can review
The reconciliation report is designed for review and follow-up. It separates records clearly so teams can focus on exceptions instead of scanning every row.
| Output section | What it means |
|---|---|
| Fully matched | Reported fee and expected fee match according to the configured logic |
| Partially matched | The transaction matches, but the fee amount differs |
| Unmatched | The record appears on one side but not the other |
| Skipped | The record was excluded because of missing, invalid, or unusable data |
The output can help teams review:
- Total fee amount
- Correctly charged fee amount
- Overcharged fee amount
- Undercharged fee amount
- Record-level differences that require investigation
Why marketplace teams use a structured reconciliation engine
Manual fee review becomes difficult when the same logic has to be repeated across thousands of rows or multiple reporting cycles. A structured reconciliation process reduces the need for formula-heavy spreadsheets and makes the review process easier to trace.
Benefits for finance operations
- Reusable setup for recurring periods
- Clear exception visibility instead of row-by-row manual checking
- Less dependency on fragile spreadsheet formulas
- Better consistency across team members
- Audit-friendly Excel output for internal review and follow-up
Supporting data and derived columns
Some fee reconciliation workflows need more than the primary order and fee reports. Cointab supports supporting data to help prepare the records before reconciliation.
Examples include:
- Product master files
- Category mapping files
- Order metadata
- Store or channel mapping
- Reference files used for lookup-style enrichment
Teams can also create derived columns when the fee needs to be calculated or cleaned before comparison. For example, a derived column can normalize an order reference, calculate an adjusted fee, or create a field used for matching.
AI can assist with formula creation when finance users know the logic but do not want to write the formula manually.
Designed for recurring monthly or period-end review
Myntra fee reconciliation is often part of month-end or period-end finance work. Cointab supports repeated runs for the same reconciliation setup so teams can use it across monthly, quarterly, yearly, or custom periods.
This helps teams keep the workflow consistent when they need to:
- Review a new reporting period
- Upload a missed file and refresh the report
- Compare open items across periods
- Keep reconciliation history available on the dashboard
Where AI supports the process
Cointab uses AI as a support layer, not as a blind matching engine. After structured matching is complete, AI can help analyze open items and suggest likely reasons for unresolved differences.
This is useful when:
- Fee references are inconsistent
- The report format changes slightly
- A transaction is missing part of its identifier
- A difference may be explained by a return, deduction, or reporting gap
If the evidence is not strong enough, the record remains unmatched so the review stays conservative and audit-friendly.
Reconciliation reports remain easy to review
Finance teams need reports they can understand and share internally. Cointab keeps the output practical by showing the records, the differences, and the reconciliation status in a way that supports review and follow-up.
The report can be used for:
- Internal finance review
- Marketplace operations follow-up
- Audit preparation
- Dispute support and exception tracking
- Period-end reporting
Common questions finance teams ask
Myntra fee reconciliation is not just about finding differences. It is about creating a repeatable process that gives finance teams confidence in the numbers, visibility into exceptions, and a clear audit trail for every run.