Nykaa Fashion Fees Verification with Reconciliation Automation
Online sellers use Nykaa Fashion fee verification to check whether commission charges, deductions, and related adjustments match the expected rate card or agreed fee structure. Cointab helps finance teams compare internal order records on Side A with Nykaa Fashion reports on Side B, then highlight matched, partially matched, unmatched, and skipped transactions in a reviewable report.
What Nykaa Fashion fees verification checks
A Nykaa Fashion fee reconciliation workflow helps confirm whether the marketplace charged the right amount on each order. Finance and marketplace operations teams typically use it to review:
- Commission fees charged against the expected category-wise rate
- Orders where fees were charged correctly
- Orders where the charge looks higher than expected
- Orders where the charge looks lower than expected
- Orders where a fee was not charged or not reflected in the report
- Orders that cannot be verified because the supporting report is missing or incomplete
This makes it easier to catch fee leakage, review exceptions, and keep month-end reporting clean.
How Cointab structures the reconciliation
Cointab uses a Side A and Side B model so the workflow stays clear and auditable.
- Side A: your internal records, such as order data, sales exports, ERP files, or internal working sheets
- Side B: Nykaa Fashion records, such as payment reports, settlement files, or other external partner reports
For this use case, sellers usually set up a custom reconciliation because the rate card, product mix, and supporting files can differ across businesses.
Typical workflow for fee verification
- Upload the required Nykaa Fashion and internal files.
- Map key fields such as order ID, date, amount, and fee-related identifiers.
- Upload supporting files if needed, such as a rate card, category mapping, SKU master, or product metadata.
- Create derived columns when the expected fee needs to be calculated from existing fields.
- Run the reconciliation.
- Review the dashboard and export the report.
Cointab can also be reused for the next period without rebuilding the setup from scratch.
Common reports and supporting data
The exact file set depends on how the seller operates, but Nykaa Fashion fee verification often uses a mix of primary reports and supporting data.
| Data type | Purpose |
|---|---|
| Internal order report | Serves as the seller's source of truth for order-level data |
| Nykaa Fashion payment or settlement report | Shows the marketplace-side records used for verification |
| Rate card or fee structure file | Helps calculate the expected commission or charge |
| Product category mapping | Links products to the correct fee rule |
| SKU or item master | Helps normalize item-level identifiers |
| Adjustment or return support file | Helps explain differences where fees are impacted by returns or reversals |
Supporting data is not reconciled directly. It is used to enrich, calculate, or prepare the primary records before matching.
Result categories in the report
Cointab separates the output so finance teams can review exceptions quickly.
| Result category | Meaning |
|---|---|
| Found in payment report | The order is present in the Nykaa Fashion file and can be checked |
| Not found in payment report | The order is missing from the external file and cannot be verified against that report |
| Correctly charged | The charged fee matches the expected fee logic |
| Overcharged | The charged fee is higher than the expected amount |
| Undercharged | The charged fee is lower than the expected amount |
| Not charged | No fee appears to have been charged for that order |
| Partially matched | A related transaction is found, but the amounts do not fully align |
| Skipped | The row was excluded because it was incomplete, invalid, or not usable for reconciliation |
This structure makes it easier to focus on exceptions instead of reviewing every order manually.
Why marketplace teams use this workflow
Nykaa Fashion fee verification is often repetitive, especially when the same review has to be done every month. Cointab helps reduce manual spreadsheet work by providing a reusable reconciliation setup with structured matching and audit-friendly output.
Typical benefits include:
- Faster review of commission charges and fee differences
- Consistent fee validation across periods
- Clear visibility into exceptions and open items
- Downloadable Excel reports for internal review and follow-up
- Manual match support for items that need business context
- A shared workspace so finance teams do not need to pass files around by email
How Cointab handles difficult cases
Not every row can be matched through simple rules. Cointab supports structured matching logic and then uses AI to review remaining open items where deterministic rules are not enough.
This is useful when:
- Reference fields are inconsistent
- Order IDs appear in different formats
- Fee calculations require derived columns
- The same order needs grouping or netting across multiple rows
- A late or missed file needs to be added and the report refreshed
If evidence is not strong enough, the transaction remains unmatched rather than being forced into a weak match.
Reconciliation output for finance review
Once the run is complete, users can review the reconciliation dashboard and transaction-level tables, then download the report for internal use or partner follow-up. The output helps finance teams answer questions such as:
- Which orders were charged correctly?
- Which orders were overcharged or undercharged?
- Which rows need manual review?
- Which file or field may be missing?
- Which exceptions need to be escalated?
That makes the workflow useful for month-end close, audits, and recurring marketplace control checks.
Reusing the same setup for future periods
After the Nykaa Fashion fee verification workflow is configured once, the same setup can be reused for future periods. Teams can keep the field mapping, matching logic, and supporting data structure in place, then upload the next period's files and run reconciliation again.
This reduces repeat configuration work and helps keep reports consistent across periods.
