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Ecommerce reconciliation automation - match sales, refunds, fees, and payouts
Ecommerce reconciliation automation should match order totals, refunds, platform fees, and received payouts in one ledger, then flag the rows that do not tie. The automation finds mismatches and prepares the evidence. A finance owner decides the accounting treatment.
This is not bookkeeping advice. It is the operational control that gives finance a short, explainable list instead of an export to chase by hand.
What columns belong in a reconciliation ledger?#
| Column | What to compare |
|---|---|
| Order or settlement reference | The common record across sources |
| Gross order total | What the store says was sold |
| Refund total | What was returned to the customer |
| Platform and payment fees | What the platform withheld |
| Received payout | What reached the bank or settlement account |
| Expected difference | The calculation the team agrees to check |
| Evidence and status | Export links, dates, owner, and unresolved reason |
The ledger should show the math for each exception. A number that cannot be traced to a source is not a resolved reconciliation. If a return is the cause, the physical and policy state belongs in the returns exception process.
What should the automation flag?#
Flag a missing payout, a refund that lacks a corresponding record, fees that do not have expected source detail, or a settlement whose calculated amount does not match the received amount. The team defines the comparison and its tolerance. Do not copy a threshold from another store.
A discrepancy is a review item, not an automatic journal entry. Refund timing, settlement windows, and source delays can all explain a difference. The operator needs the evidence packet before making a correction.
How does the reconciliation build actually go?#
We map the store export, platform fee data, payout record, and refund source with the finance owner. We agree the matching reference and what counts as a valid delay. The client keeps the ledger format, source access, and the resolution notes.
The build reads the agreed exports and creates a review row where it cannot match the amounts. It attaches the references and a simple calculation. It never writes an adjustment into accounting software. Finance reviews the short queue, assigns a reason, and completes the accounting action in the system it already owns.
We shadow-run the comparison on a closed period. Finance checks whether the flagged rows are real differences, timing issues, or match errors. That test is important because the cleanest-looking automated total may hide unmatched references. Once the results match the team's review, the build runs on the agreed close schedule.
Settlement problems can start with an order exception, and fee plus refund data later feeds true SKU profitability. Keep those linked, but do not collapse their decisions into one number.
What should finance inspect first?#
Take one recent settlement. Put the order total, refunds, fees, received payout, and source links on one row. If anyone cannot explain the difference without searching multiple tools, that is the first reconciliation control to build.
Where does this fit with the rest of the operation?#
The same evidence-first rule is used in Amazon seller back office for settlement checks. If the workflow is still unclear, use the scope test in what an automation build costs before connecting more sources.