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Payments & Bookkeeping

Connect sales, payments and payouts with less manual matching

E-commerce bookkeeping should not depend on finance teams downloading reports, combining spreadsheets and manually matching transactions every month.

We automate the recurring workflow around collecting sales data, payment transactions, processor payouts, fees, refunds and bookkeeping information. Clear transactions can move through predefined matching and preparation steps automatically, while uncertain matches, unusual deductions and financial exceptions stay with the right finance employee.

Your finance team or accountant remains responsible for accounting treatment, approvals and final bookkeeping records.

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Your payments & bookkeeping workflow Connected
  1. Sales collectedOrders and sales enter one workflow
  2. Payments retrievedTransactions and settlements collected
  3. Records matchedOrders, payments and payouts reconciled
  4. Exceptions routedUnclear transactions reach finance
Financial exceptions go to your team.
Accounting control stays with the right people.

The everyday admin

E-commerce payments still create too much bookkeeping work

One customer order can create several separate financial records.

The sale may appear in your webshop. The payment is recorded by a payment provider. The provider groups multiple transactions into a payout. Fees or refunds are deducted. The bank receives the net amount later. The accounting entry then needs to reflect what actually happened.

When each part lives in a different system, finance ends up reconstructing the full transaction flow manually.

We connect those recurring steps into one structured payments and bookkeeping workflow.

Sales and payment information is spread across different systems

Sales may come from webshops, marketplaces or other channels.

Payment information may sit with one or more payment providers.

Payouts appear somewhere else.

The final bank transaction arrives later, while accounting software holds another version of the financial record.

Finance teams often switch between:

  • Sales channels
  • Order systems
  • Payment providers
  • Marketplace reports
  • Bank information
  • Accounting software

We can collect available information from connected systems and bring it into one structured process.

Instead of repeatedly gathering the same data by hand, the workflow creates a clearer starting point for matching and bookkeeping preparation.

What can be collected depends on the data and integration options available in the systems you use.

Payouts do not match gross sales directly

A payout of £8,240 does not necessarily represent £8,240 of sales.

The underlying transactions might include gross sales, processor fees, refunds, reserves or other adjustments.

Several days of transactions may also be combined into one settlement.

That leaves finance with the task of understanding how the net payout was calculated.

For example:

Gross sales → Fees deducted → Refunds deducted → Adjustments applied → Net payout

We can collect the available settlement information and break the payout into its underlying components.

The workflow can then compare those components with the related sales and payment records.

Where the payout cannot be explained reliably from the available information, the difference remains an exception for review.

Refunds, fees and chargebacks require separate checks

Not every financial movement represents a normal sale.

A processor may deduct fees.

A refund may relate to an earlier order.

A chargeback or dispute can create another adjustment.

Reserves may delay part of a settlement.

Finance then needs to determine which movement belongs to which order, payment or accounting process.

We can identify available transaction types and separate them within the workflow.

For example:

  • Payment
  • Refund
  • Processor fee
  • Marketplace fee
  • Chargeback
  • Dispute
  • Reserve
  • Adjustment

The workflow can prepare these movements according to the rules you define.

Your finance team or accountant remains responsible for deciding the final accounting treatment.

Finance teams repeatedly download and combine reports

A common e-commerce bookkeeping process still looks like this:

Download the webshop report.

Download the payment-provider settlement.

Export the marketplace transactions.

Open the bank data.

Copy everything into spreadsheets.

Add formulas.

Match the transactions.

Enter the result into accounting software.

The same preparation work then happens again during the next reporting period.

We can automate repeatable collection, structuring, matching and handover steps so finance spends less time rebuilding the same process.

This does not mean every transaction can be handled without review.

The workflow is designed to separate clear records from those that still require judgement.

Unmatched transactions and discrepancies are discovered late

A missing order reference may not become a problem until the payout is being reconciled.

A refund might not match an order.

The provider report may contain a value that differs from the sales system.

A synchronisation may have failed several days earlier.

These issues often become visible only when finance is already trying to close the period.

We can flag unmatched transactions, missing settlements and amount differences as they appear in the workflow.

That gives finance a clearer view of what still needs investigation instead of discovering every issue at the end of the process.

What we automate

What we automate

Sales and order data collection

Completed-sale information often sits across several webshops, marketplaces or order systems.

Finance may currently export the same reports repeatedly before any payment matching can begin.

We can collect available sales and order data from connected systems and bring it into a structured workflow.

Depending on the available information, this may include:

  • Order number
  • Sale date
  • Gross order value
  • Currency
  • Payment status
  • Payment reference
  • Sales channel
  • Refund status
  • Other relevant transaction references

For example:

Completed sale → Order information collected → Payment reference recorded → Matching workflow started

The exact information depends on what each platform makes available through APIs, exports or other supported methods.

If a source does not expose a required identifier, that can limit the reliability of later matching.

Payment transaction collection

Payment data is often stored separately from the order that created it.

Finance then needs to find the related transaction manually.

We can collect available payment information from connected payment systems and prepare it for matching.

That may include:

  • Payment reference
  • Transaction amount
  • Currency
  • Payment date
  • Payment status
  • Payment method
  • Order reference
  • Refund information
  • Other available identifiers

The workflow can then compare this information with the sales records already collected.

Where identifiers are consistent, matching can be more reliable.

Where they are missing or conflicting, the payment remains visible for review.

Payout and settlement collection

Payment providers and marketplaces often combine many transactions into a single payout.

Finance may currently download settlement reports manually and compare them with bank receipts and order data.

We can retrieve or import available payout information and structure the settlement within the same workflow.

For example:

Settlement received → Included transactions collected → Fees identified → Refunds identified → Net payout calculated from available records

The workflow can also record details such as:

  • Settlement reference
  • Settlement date
  • Gross transaction value
  • Fees
  • Refunds
  • Adjustments
  • Net payout
  • Expected bank receipt

What can be automated depends on how much detail the provider or marketplace makes available.

Transaction normalisation

Different systems often describe the same transaction differently.

Dates may use another timezone or format.

One source may identify an order by order number while another uses a payment reference.

Currency fields and transaction types may also differ.

We can normalise available transaction data into one consistent structure.

That can include:

  • Date formats
  • Currency fields
  • Order references
  • Payment references
  • Payout identifiers
  • Transaction types
  • Source names
  • Amount formats
  • Other predefined fields

For example:

Processor field “merchant_reference” → Internal field “Order reference”

Clear mapping rules can run automatically.

Unknown or conflicting values remain unresolved instead of being forced into the wrong structure.

Order and payment matching

Finance teams often spend time connecting customer payments to the orders that generated them.

We can match records using reliable identifiers and predefined rules.

Depending on the information available, matching could use:

  • Order number
  • Payment reference
  • Transaction ID
  • Amount
  • Currency
  • Date
  • Customer reference
  • Other stable identifiers

For example:

Order reference matches → Amount matches → Currency matches → Payment linked to order

A strong match can continue through the workflow.

If several possible matches exist or the amount differs unexpectedly, the transaction is sent for review.

We do not force an uncertain match simply to complete the process.

Payout reconciliation

A settlement should be explainable from the transactions it contains.

We can compare the available order and payment records with the information included in a processor or marketplace payout.

The workflow can help determine whether:

  • Expected transactions are present
  • The gross amount aligns
  • Fees have been identified
  • Refunds have been included
  • Adjustments are accounted for
  • The calculated net value matches the payout

For example:

Matched sales £10,000 → Fees £320 → Refunds £450 → Net expected payout £9,230

If the received payout is also £9,230 and the supporting data is complete, the reconciliation can continue.

If the values do not align, the difference goes to finance for investigation.

The result depends on the quality and completeness of the settlement and transaction data.

Fee, refund and chargeback processing

Fees and adjustments can make e-commerce payment flows difficult to follow.

A single settlement might contain normal processor fees, refunded transactions, disputes and other adjustments.

We can identify and separate the available transaction types within the workflow.

This can help organise:

  • Processing fees
  • Marketplace fees
  • Refunds
  • Chargebacks
  • Disputes
  • Reserves
  • Settlement adjustments
  • Other available payment movements

The workflow can then associate those movements with the related payment or settlement where reliable references exist.

It does not determine the accounting or tax treatment.

Those decisions remain with your finance team or accountant.

Bookkeeping entry preparation

Once sales, payments and payouts have been structured and matched, finance still needs information in a form suitable for bookkeeping.

We can prepare the relevant transaction information according to the accounting structure and rules your organisation provides.

That might include organising:

  • Sales information
  • Payment balances
  • Processor fees
  • Refunds
  • Payout values
  • Settlement differences
  • Relevant references
  • Other approved bookkeeping fields

For example:

Settlement reconciled → Transaction breakdown prepared → Accounting review requested

Your finance team or accountant determines:

  • Which accounts should be used
  • Tax and VAT treatment
  • Journal-entry structure
  • Period allocation
  • Final accounting approval

We automate the preparation around those decisions, not the accounting judgement itself.

Accounting-system synchronisation

After the required checks and approvals, structured information can potentially be sent into your accounting workflow.

Where technically supported, we can synchronise approved records, transaction information or statuses with the relevant accounting system.

For example:

Bookkeeping data approved → Accounting record prepared → Information synchronised → Status returned to workflow

The exact actions depend on:

  • Available APIs
  • Import capabilities
  • User permissions
  • Existing accounting configuration
  • Your approval requirements

We do not assume that records should be posted without review.

The workflow follows your existing rules and controls.

Discrepancy and exception tracking

Not every transaction will match cleanly.

Instead of hiding those cases inside spreadsheets, we can keep them visible in one workflow.

That can include:

  • Unmatched orders
  • Unmatched payments
  • Missing payouts
  • Amount differences
  • Duplicate transactions
  • Missing references
  • Unexplained fees
  • Refunds without an order match
  • Failed accounting synchronisations
  • Conflicting source information

For example:

Payout received → Expected amount differs → Difference identified → Relevant transactions collected → Finance review task created

This helps your team focus on the transactions that actually need investigation.

Predictable matching, financial control

Predictable transactions can be matched. Financial exceptions stay with your team.

Payment reconciliation automation works best when reliable transaction matching and financial judgement are kept separate.

Clear transactions with consistent identifiers and amounts can move through predefined matching and preparation steps.

But not every payment flow is straightforward.

We can flag situations such as:

  • Missing order references
  • Duplicate transactions
  • Partial payments
  • Split payments
  • Payments in different currencies
  • Payouts with unclear deductions
  • Unexpected processor fees
  • Refunds without a reliable order match
  • Chargebacks and disputes
  • Reserves or delayed settlements
  • Amount differences
  • Transactions posted in different periods
  • Failed accounting synchronisation
  • Cases where the available information conflicts

The workflow does not invent a missing reference.

It does not force one transaction to match another simply because the amounts look similar.

Instead, it collects the available context and routes the discrepancy to the appropriate finance employee.

For example:

Refund has no reliable order reference → Payment data retrieved → Possible related orders identified → Source information shown → Finance reviews

Or:

Settlement differs from expected payout → Included transactions collected → Fees and refunds separated → Difference calculated → Case sent for investigation

Automation handles the repetitive preparation.

Your finance team or accountant remains responsible for financial judgement and final approval.

How it works

How an automated payments and bookkeeping workflow works

  1. 1

    Sales and order information is collected

    The workflow collects completed-sale information from the agreed e-commerce and order sources.

    That can include order references, amounts, currencies, sales channels and other fields required for later payment matching.

    Instead of finance repeatedly downloading transaction reports, the relevant available information enters the same structured workflow.

    The exact data collected depends on what your systems make accessible.

  2. 2

    Payment and payout data is retrieved

    Payment transactions and settlement information are collected from the relevant payment or marketplace sources.

    The workflow can gather individual payment records as well as payout-level information where available.

    This creates the financial context needed to understand how customer payments eventually become a settlement or bank receipt.

    Missing payout or transaction information remains visible as an exception.

  3. 3

    Transaction information is normalised

    Before records can be compared, information from different systems needs to use a consistent structure.

    Dates, references, identifiers, currencies and transaction types can be mapped according to predefined rules.

    The workflow translates known source formats into the structure used by your payment and bookkeeping process.

    Unknown or inconsistent values are held for review rather than being silently changed.

  4. 4

    Orders, payments and payouts are matched

    Available identifiers and predefined matching rules are used to connect orders, payment transactions and settlements.

    Reliable references may allow a clear order-to-payment match, while settlement data can show which payments were included in a particular payout.

    Where the information supports a strong match, the records can continue automatically.

    Where it does not, the workflow creates an exception.

  5. 5

    Fees, refunds and adjustments are separated

    The workflow identifies the available movements that affect the difference between gross sales and net payouts.

    This can include processor fees, marketplace deductions, refunds, chargebacks, reserves or other adjustments.

    Those items are structured separately so finance can see how the payout was built.

    When a deduction cannot be explained from the source data, it remains unresolved for finance to investigate.

  6. 6

    Bookkeeping information is prepared

    Once the payment flow has been structured and checked, the relevant information is prepared for the accounting process.

    We use the bookkeeping rules, account mappings and approval process provided by your organisation.

    The workflow can organise the records and prepare the proposed handover.

    Your finance team or accountant remains responsible for determining accounting treatment and approving the final records.

  7. 7

    Approved records and statuses are synchronised

    When the required financial review is complete, approved information can be passed to the connected accounting process where the systems support it.

    The workflow can also retrieve or record the resulting status so your team knows whether the handover succeeded.

    This helps avoid situations where finance assumes information has been transferred while a system integration has actually failed.

  8. 8

    Exceptions go to the appropriate finance employee

    Missing references, unmatched transactions, unexplained fees and other differences do not disappear inside the automated process.

    The workflow collects the relevant context and sends the exception to the right employee.

    Finance can then investigate the issue using the supporting information already available.

Routine payment and bookkeeping preparation continues while financial exceptions remain under human control.

From manual to automated

From manual payout checks to one connected bookkeeping workflow

Before

  1. 1Sales occur across webshops and marketplaces
  2. 2Webshop reports are downloaded
  3. 3Payment-provider reports are downloaded
  4. 4Marketplace settlements are exported
  5. 5Bank transactions are checked
  6. 6Data is combined in spreadsheets
  7. 7Orders and payments are matched manually
  8. 8Processor fees are separated
  9. 9Refunds and chargebacks are searched for
  10. 10Payout differences are investigated
  11. 11Bookkeeping information is entered manually
  12. 12Exceptions are tracked in separate files
  13. 13The process repeats for the next period

After

  1. 1Sales and order data collected
  2. 2Payment transactions retrieved
  3. 3Payouts and settlements collected
  4. 4Transaction data normalised
  5. 5Orders and payments matched
  6. 6Settlement breakdown prepared
  7. 7Fees, refunds and adjustments separated
  8. 8Bookkeeping information prepared
  9. 9Approved records synchronised
  10. 10Exceptions routed to finance

Fewer manual matches. Clearer payout breakdowns. Faster visibility when a transaction needs attention.

Our services in practice

How our services support Payments & Bookkeeping

AI agents

Our AI agents can support the parts of payment administration where information is inconsistent or unstructured.

Payment descriptions, remittance information and processor reports do not always use the same format.

We can use AI agents to help:

  • Interpret payment descriptions
  • Extract references from unstructured information
  • Summarise payout differences
  • Identify possible transaction relationships
  • Organise processor information
  • Prepare discrepancy summaries
  • Gather context for employee review

For example, an AI agent might help extract an order reference from an inconsistent remittance description and use it as one input in the matching workflow.

AI should not be treated as the final financial decision-maker.

It does not independently determine accounting treatment, approve refunds or force uncertain transaction matches.

If the source information does not support a reliable conclusion, the case stays with finance.

Workflow automation

Our workflow automation connects the recurring operational steps between completed sales and bookkeeping preparation.

For example:

Sale completed → Payment collected → Settlement retrieved → Transactions matched → Fees separated → Bookkeeping prepared → Review completed → Accounting status updated

The workflow can coordinate:

  • Data collection
  • Matching
  • Settlement breakdowns
  • Fee identification
  • Refund handling
  • Approval tasks
  • Synchronisation
  • Exception routing
  • Status tracking

This reduces the need for finance employees to manage each handover manually.

The workflow follows the accounting and approval rules your organisation defines.

System integrations

Our system integrations connect the systems that hold the information required to understand e-commerce payments.

Depending on your setup, this may include:

  • Webshops
  • Marketplaces
  • Order-management systems
  • Payment providers
  • Payment service providers
  • Bank-data sources
  • Accounting software
  • ERP systems
  • Refund or dispute systems
  • Other relevant finance tools

For example, order data from a webshop can be compared with transaction information from a payment provider and settlement information before approved records move into the accounting workflow.

The available actions depend on APIs, exports, permissions and the technical capabilities of each platform.

We do not assume that every platform supports real-time data access or automated write actions.

Dashboards & portals

Our dashboards & portals can provide one operational view of the payment and bookkeeping workflow.

That could include:

  • Sales transactions
  • Payment statuses
  • Processor payouts
  • Marketplace settlements
  • Fees
  • Refunds
  • Chargebacks
  • Matched transactions
  • Unmatched transactions
  • Amount differences
  • Failed synchronisations
  • Exceptions requiring attention

Finance teams can then see which settlements are complete and which transactions still need review without maintaining another separate spreadsheet.

The dashboard reflects the available workflow data.

It does not make incomplete source information automatically correct.

Custom software

Our custom software can support e-commerce payment processes that do not fit neatly into standard accounting or payment tools.

We can build focused internal interfaces such as:

  • Payout reconciliation workspaces
  • Transaction review queues
  • Multi-channel payment overviews
  • Refund approval interfaces
  • Settlement breakdown tools
  • Bookkeeping preparation screens
  • Finance exception dashboards
  • Interfaces connecting several existing systems

For example, a reconciliation workspace could show a payout alongside the individual orders, payments, fees and refunds that are expected to explain it.

A finance employee can then review only the remaining difference.

We build custom software where it solves a specific operational gap in the existing process.

Human control, built in

Keep accounting control with the right people

Payments and bookkeeping automation should reduce recurring administration without moving financial decisions away from the people responsible for them.

We build the workflow around your existing accounting rules, approval structure and controls.

Automatic

Recurring steps can run automatically when identifiers, amounts and predefined rules are clear.

That might include:

  • Collecting sales data
  • Retrieving payment transactions
  • Collecting settlements
  • Normalising fields
  • Matching reliable transaction references
  • Breaking down known payout components
  • Tracking status
  • Preparing bookkeeping information

These are repeatable operational tasks that do not need to be coordinated manually for every transaction.

Review required

Some records can be prepared automatically but still need finance approval before the workflow continues.

For example, the system might prepare:

  • A likely payment match
  • A settlement breakdown
  • A proposed transaction classification
  • A bookkeeping handover
  • A list of unusual deductions

The finance employee receives the supporting information and decides whether the proposed result is correct.

Automation reduces the preparation work.

The employee keeps control of the financial judgement.

Exception

Missing, conflicting, unusual or financially sensitive transactions go directly to the appropriate finance employee.

That includes situations such as:

  • Unmatched transactions
  • Unexpected fees
  • Chargebacks
  • Unclear settlement deductions
  • Different currencies
  • Missing references
  • Conflicting source data
  • Failed accounting transfers
  • Material differences requiring investigation

We do not force these cases into an automatic accounting result. Your organisation and its financial professionals remain responsible for accounting rules, tax treatment, refund approvals, dispute handling, journal entries, period closing and final bookkeeping records.

The NexFlow method

Our approach

01

SCAN

We map how e-commerce sales and payment information currently move through your business.

We look at:

  • Sales channels
  • Webshops
  • Marketplaces
  • Order systems
  • Payment providers
  • Payout schedules
  • Settlement structures
  • Bank transactions
  • Refunds
  • Chargebacks
  • Accounting software
  • Existing spreadsheets
  • Manual matching rules
  • Approval steps
  • Recurring discrepancies

We also identify which reports your finance team downloads and where information is manually copied, adjusted or re-entered.

This gives us a clear picture of the recurring operational work behind the bookkeeping process.

02

CALCULATE

We identify how much repeated work exists in the current workflow.

That can include:

  • Downloading reports
  • Combining spreadsheets
  • Matching orders and payments
  • Breaking down settlements
  • Finding fees and refunds
  • Correcting references
  • Re-entering information
  • Investigating discrepancies
  • Checking failed handovers

We use this to identify the parts of the workflow where automation is practically useful.

We do not assume or invent a financial saving before understanding the actual process.

03

AUTOMATE

We build the workflow around your existing systems, transaction references, payout structures, accounting rules, approvals and exception processes.

That can include:

  • Sales-data collection
  • Payment-data collection
  • Settlement imports
  • Data normalisation
  • Order and payment matching
  • Payout reconciliation
  • Fee and refund identification
  • Bookkeeping preparation
  • Approval steps
  • Accounting synchronisation
  • Exception handling

Your existing accounting and financial rules remain the basis of the workflow.

Financial decisions stay with the appropriate people.

04

OPTIMIZE

E-commerce payment flows change as your business grows.

You may add:

  • New sales channels
  • New marketplaces
  • Additional payment methods
  • More payment providers
  • New currencies
  • Different payout schedules
  • New accounting requirements

We can adjust the workflow as those changes create new transaction structures, matching rules and exceptions.

Your questions, answered

Payments & Bookkeeping FAQ

Which e-commerce payment and bookkeeping tasks can be automated?

Many repeatable operational tasks can be automated when the required transaction data and identifiers are available.

This can include collecting sales information, retrieving payment and settlement data, normalising transactions, matching orders and payments, breaking down payouts, identifying fees and refunds and preparing bookkeeping information.

Financial decisions and final accounting records remain under human control.

The exact scope depends on your systems, available data, transaction references and accounting process.

Can orders and payments be matched automatically?

Yes, where reliable identifiers and sufficient transaction information are available.

For example, a payment may be matched to an order using an order reference, payment ID, amount, currency and other available data.

When those values agree according to your predefined rules, the match can continue automatically.

If several possible matches exist or the information conflicts, the transaction should be sent for review rather than forced into a match.

Can processor and marketplace payouts be reconciled automatically?

Parts of payout reconciliation can be automated when detailed settlement information is available.

We can compare the transactions included in a payout with the related sales, fees, refunds and other adjustments.

Where the available information explains the net payout reliably, the reconciliation can continue.

Unexplained differences remain visible for finance to investigate.

The quality of the process depends heavily on the detail and consistency of the settlement data provided by the platform.

How are payment-provider fees handled?

Where fee information is available, we can identify and separate processor or marketplace fees from the other transactions in a settlement.

For example:

Gross payments → Processor fees → Refunds → Other adjustments → Net payout

The fee data can then be prepared for your accounting workflow.

Your finance team or accountant remains responsible for determining how those fees should be recorded.

Can refunds and chargebacks be included in the workflow?

Yes, where the relevant refund, dispute or chargeback information is available.

We can collect those transactions, link them to the related payment or order where reliable references exist and include them in the settlement breakdown.

Chargebacks and disputes can also be routed separately when additional investigation is required.

The workflow does not decide whether a refund or dispute is financially valid.

Those decisions remain with your organisation.

Can transactions from multiple sales channels be combined?

Yes.

Transactions from several sales channels can be brought into one structured workflow when the required data can be accessed.

Each source can retain its own identifier and channel information while being normalised into a common structure for matching and reporting.

This can be useful for businesses receiving payouts from multiple marketplaces, webshops or payment providers.

The exact setup depends on the available data and integration capabilities of each channel.

Can payments in different currencies be processed?

Multi-currency transaction data can be included where the systems provide the necessary currency information.

The workflow can keep transaction amount, currency and related references together and apply the rules defined by your finance process.

Currency differences, exchange rates and accounting treatment may require additional rules or human review.

We do not determine the appropriate accounting or tax treatment for foreign-currency transactions.

Can bookkeeping entries be created automatically?

Bookkeeping information can be prepared automatically according to the account mappings and rules defined by your organisation.

Where technically supported and approved within your process, that information may also be passed into your accounting system.

Whether an entry should be automatically posted, prepared as a draft or require manual approval depends on your internal controls.

Your accountant or finance team remains responsible for the final accounting treatment and record.

What happens when a transaction cannot be matched?

The transaction becomes an exception.

The workflow can collect the available payment, order, settlement and reference information and present it to the appropriate finance employee.

It may also identify possible matches where useful.

The workflow does not invent missing identifiers or decide that a weak match is correct simply to complete the process.

The employee reviews the information and resolves the discrepancy.

Can information be synchronised with our accounting software?

Potentially, yes.

Where the accounting system provides the required API, import method or other supported integration, approved transaction information can be passed into the accounting workflow.

The integration can also potentially return statuses or error information.

What is possible depends on the software, configuration, permissions and accounting process you use.

We review these technical requirements during the Automation Scan.

Do we need to replace our current webshop, payment provider or accounting system?

Not necessarily.

We start by understanding how your existing systems currently exchange information.

Where possible, we connect and automate around your existing webshop, marketplaces, payment providers, bank-data sources and accounting software.

If a particular system cannot provide the required data or integration capability, we can then look at other approaches such as structured imports, additional workflow logic or focused custom software.

The goal is to improve the payment and bookkeeping process, not to replace existing tools without a clear reason.

E-commerce bookkeeping should not depend on manually combining sales, payment and payout reports

Matching orders, breaking down settlements, identifying fees and refunds and entering the same information into accounting systems creates more administrative work as transaction volumes grow.

We map your current payments and bookkeeping workflow and identify where collection, matching, reconciliation, preparation and system handovers can be automated while keeping accounting and financial decisions with the right people.

Get your free Automation Scan

Discover which parts of your payments and bookkeeping process we can automate.