If your
company's monthly close drags into the second week of every month, the
bottleneck is rarely accounting. It is payments. The finance team is matching
settlement files from four or five acquirers against captures in your order
system, reconciling fees that show up in three different formats, and chasing
chargeback adjustments that landed in the wrong reporting period. Multiply that
by every market and every payment method, and the close becomes a multi-day
reconstruction exercise.
topropay collapses that work into a single
ledger. Every capture, settlement, fee, chargeback, and payout — across every
acquirer in your stack — is ingested, normalized, and reconciled inside one
feed. The teams that adopt it tend to describe the same outcome: the close
becomes routine, and the data finally tells one consistent story. The reconciliation and reporting
page covers the matching logic and export targets in more detail.
The rest of this
piece walks through what unified reconciliation actually means at the data
layer, and why it matters once your payments stack outgrows a single PSP.
Every merchant
that adds a second acquirer for the right reasons — better approval rates,
lower fees, market coverage — inherits a hidden cost: a second reconciliation
pipeline. By the time a third or fourth acquirer is in production, that hidden
cost is one of the biggest line items on the finance team's calendar.
The typical pain
points stack up quickly:
•
Each acquirer ships settlement
data in a different file format (CSV, XML, MT940, custom JSON)
•
Fee schedules are itemized
differently — some bundled, some per-line, some only summarized
•
Chargeback adjustments land
days or weeks after the original transaction and have to be matched back
manually
•
FX conversions happen at
different rates and different times depending on the acquirer
•
Refund timings differ; some net
out at settlement, some post separately
•
Payouts batch differently —
daily for one acquirer, T+2 for another, weekly for a third
The finance team
is doing the same conceptual work — match capture to settlement, account for
fees, reconcile to bank — but doing it once per acquirer, in once per format.
The error rate goes up, the close gets longer, and the audit trail gets harder
to defend.
topropay sits
above the acquirers and pulls in the raw operational data from each one
automatically. The ingestion layer covers:
•
Settlement files in whatever
native format the acquirer ships
•
Per-transaction fee breakdowns
(interchange, scheme, acquirer markup, processing)
•
Chargeback notifications,
representments, and final outcomes
•
Refund events and their
settlement timing
•
Payout batches and bank credit
confirmations
•
FX rates applied per
transaction at authorization time
Everything is
normalized to a single schema before it hits the ledger. That schema is the
same whether the underlying acquirer is Adyen, Worldpay, Checkout.com, Stripe,
Nuvei, Worldline, or any of the others in the topropay connector catalog. Your
reconciliation team queries one data model instead of five.
The matching
engine inside topropay handles the four most expensive reconciliation tasks
automatically:
Mismatches do
not get silently absorbed. They get flagged in the dashboard with the specific
reason — missing settlement line, fee discrepancy, FX rounding, late-arriving
chargeback — and queued for review.
The output of
all that ingestion and matching is a single unified ledger that the finance
team works against. Inside topropay, that ledger is live — every event updates
it in near real time rather than at end-of-day batch.
Practical
implications:
•
A finance lead can see today's
processing across every acquirer at any time without exporting anything
•
Discrepancies surface within
hours, not at the next month-end close
•
Period-end exports are a
one-click operation rather than a multi-day data assembly
•
Auditors get one canonical
source for every payment, fee, and adjustment
Reconciliation
data is only useful where the rest of the financial workflow happens. topropay
pushes the normalized ledger out to wherever you need it:
•
ERP systems — NetSuite, SAP, Microsoft Dynamics, Oracle
•
Data warehouses — Snowflake, BigQuery, Redshift
•
Accounting platforms — Xero, QuickBooks for smaller setups
•
Custom destinations — via webhook and API
The push is
configurable. You choose the cadence, the granularity, and the field mapping.
Most finance teams set it up once and never touch the integration again.
The
before-and-after pattern looks roughly the same across merchants that move onto
topropay:
•
Monthly close compresses
from 5–10 days to 1–2 days — finance is reviewing
one reconciled ledger instead of stitching five sources together
•
Engineering effort on
payment reporting drops to near zero — no more
custom ETL pipelines per acquirer
•
Cost-of-payment becomes
visible per transaction — pricing decisions and PSP
renegotiations get sharper
•
Audit prep takes hours
instead of weeks — the topropay ledger is the
canonical source
•
FP&A models become more
accurate — payments revenue is reconciled to bank,
not estimated from gateway data
The compounding
benefit is that finance and engineering stop arguing about whose numbers are
correct. There is one set of numbers.
For merchants
operating in multiple European markets, the reconciliation surface area grows
non-linearly. Each additional currency introduces FX timing, multi-leg
settlement, and cross-border fee structures.
topropay handles
the multi-currency case as a first-class feature:
•
FX rates are captured per
transaction at the point of authorization
•
Settlement currency,
presentment currency, and bank deposit currency are all tracked separately
•
Cross-border scheme fees are
itemized and matched to the originating transaction
•
Per-country regulatory levies,
where applicable, are broken out in the ledger
For a merchant
with EUR, GBP, PLN, SEK, and CHF exposure, that level of detail is the
difference between a defensible quarterly close and an ongoing reconciliation
backlog.
Reconciliation
is one of those problems that does not look serious until it is. A single
acquirer is manageable. Two is irritating. Three or more is a structural drain
on finance and engineering, and the only way out is to move the data layer
above the acquirers.
topropay is that
data layer. One ingestion pipeline. One normalized schema. One ledger. One
export to your ERP or warehouse. The work that took five days every month
becomes the work that takes one — and the data finally agrees with itself.
A short
discovery call with the topropay team will model what unified reconciliation
looks like against your actual acquirer mix and close timeline. The exercise
usually surfaces a few line items the finance team already suspected were
wrong.