Transaction Matching Reconciliation Software

Transaction matching reconciliation helps finance teams compare records across systems, identify differences, and close books with more confidence. Instead of working through spreadsheets and repeated file comparisons, teams can upload data, map fields once, run reconciliation, and review matched, partially matched, unmatched, and skipped transactions in one workflow.

Cointab is built for this exact process. It gives finance teams a structured reconciliation engine for comparing Side A records with Side B records, reviewing exceptions, and exporting audit-ready reports for internal review, follow-up, and period-end close.

What transaction matching reconciliation means

Transaction matching reconciliation is the process of comparing transactions from two sources and determining which records correspond to each other.

In Cointab's model:

Side A is your internal or source-of-truth data
Side B is the external data received from a bank, PSP, marketplace, vendor, logistics partner, customer, or other source

The goal is to identify:

fully matched transactions
partially matched transactions
unmatched transactions
skipped records

This gives finance teams a clear view of what is complete, what needs review, and what requires follow-up.

Why manual transaction matching becomes difficult

Many teams still reconcile using Excel formulas, VLOOKUPs, filters, and repeated file checks. That can work for small files, but it becomes harder as transaction volumes grow or as more systems are involved.

Common challenges include:

repeated manual work every period
inconsistent matching logic across team members
formulas that break or become hard to audit
large files that are difficult to review in spreadsheets
open items that remain unresolved for too long
missing fees, deductions, refunds, or settlement differences
stressful month-end and audit preparation

Cointab replaces that manual loop with a reusable reconciliation workflow.

How Cointab handles transaction matching reconciliation

Cointab follows a simple workflow that finance teams can repeat for every period.

Upload Side A and Side B files, or configure automated data input.
Map required fields such as date, amount, and identifiers.
Optionally upload supporting data for lookups, merging, or enrichment.
Optionally create derived columns using AI-generated Excel-style formulas.
Run reconciliation manually or schedule it automatically.
Review live progress while the reconciliation is running.
Inspect the report once processing is complete.
Download the Excel report or route output to internal systems.

The result is a structured and reviewable matching process that is easier to repeat and easier to audit.

Matching logic that supports real finance workflows

Finance data rarely matches in a simple one-to-one pattern. Cointab supports more complex reconciliation scenarios, including:

one-to-one matching
one-to-many matching
many-to-one matching
many-to-many matching
net-to-net matching
contra matching
partial matching

Cointab can compare records using rules such as:

equals
contains
similar
equals subset
contains subset
similar subset

This helps teams reconcile cases where one transaction maps to multiple entries, identifiers are split across fields, or amounts need to be netted before matching.

Review matched, partially matched, unmatched, and skipped records

A good reconciliation process should not hide exceptions. Cointab separates transaction outcomes clearly so finance teams can focus on what needs attention.

Fully matched

Fully matched records are transactions where identifiers and amounts match according to the reconciliation logic.

Partially matched

Partially matched records are related transactions where identifiers match, but amounts differ. These are important because they often point to deductions, fees, refunds, underpayments, overpayments, or timing differences.

Unmatched

Unmatched records are present on one side but not found on the other side. These may indicate missing files, unrecorded settlements, missed receipts, duplicate handling issues, or partner-side differences.

Skipped

Skipped records are rows that were not included in reconciliation because they were incomplete, invalid, excluded by rule, or otherwise unusable. Making skipped rows visible helps teams understand what was ignored and why.

AI support for formulas and difficult open items

Cointab uses AI in a conservative, reviewable way.

It can help finance teams with:

creating derived columns from natural language prompts
generating Excel-style formulas for calculations
analyzing open transactions after structured matching
identifying possible reasons for unresolved items
suggesting likely next actions for exceptions

If evidence is not strong enough, the item remains unmatched. That keeps the workflow audit-friendly and avoids weak automatic matches.

Supporting data and derived columns

Many reconciliation workflows need more than two primary files. Cointab supports optional supporting data to help prepare records before reconciliation.

Examples include:

product master files
fee rate files
return reports
order metadata
GST or tax mapping files
customer or vendor master data
delivery partner reference files
SKU mapping files

Users can also create derived columns on both sides, such as:

clean order ID
net amount
refund amount as negative
normalized transaction ID
amount after fee
combined reference

These derived columns can be used for matching, lookup, or reporting.

Popular reconciliations and custom reconciliations

Cointab supports both pre-built and custom reconciliation setups.

Popular reconciliations

Popular reconciliations are standard templates maintained by Cointab for common workflows such as:

sales vs payment gateway reconciliation
bank vs books reconciliation
marketplace vs settlement reconciliation
COD delivery partner reconciliation

These are useful when the external report structure is consistent across customers.

Custom reconciliations

Custom reconciliations are built for business-specific workflows. They are useful when a finance team needs to compare internal data with multiple external sources or create a workflow that fits a specific business model.

Once configured, both popular and custom reconciliations can be reused for future periods.

Automation for recurring reconciliation

For recurring finance operations, Cointab can automate more than just the matching step.

It supports automated data flow through:

email
SFTP
API

This allows teams to set up scheduled reconciliation runs such as daily, weekly, monthly, or after required files arrive.

After reconciliation is complete, Cointab can also deliver output back to other systems through email, SFTP, or API. That makes it easier to keep accounting, BI, analytics, and internal finance systems updated without repeated manual exports.

Audit-ready reporting and dashboard visibility

Once reconciliation is complete, Cointab shows a report dashboard with transaction-level detail and summary views. Finance teams can review:

total summary
fully matched summary
partially matched summary
unmatched summary
skipped summary
detailed transaction tables
filters for deeper analysis
report download options

Past reconciliation runs remain available on the dashboard for future reference, which helps with audit trails, internal review, and period-over-period comparisons.

Manual match and missed file refresh

Not every exception can be solved automatically. Cointab includes a manual match workflow for cases where the business context is clear but the system and AI cannot confidently match the records.

If a file was missed during the original run, the file can be uploaded under the same reconciliation and the report can be refreshed. That is useful for real finance operations where partner files often arrive late.

Where transaction matching reconciliation is used

Cointab is useful wherever money, settlements, invoices, orders, payments, or statements need to be matched regularly.

Common examples include:

eCommerce sales vs payment gateway reconciliation
marketplace sales vs settlement reconciliation
COD delivery partner reconciliation
bank statement vs books reconciliation
vendor ledger vs vendor statement reconciliation
customer receivable reconciliation
payment reconciliation across multiple PSPs

For finance teams, the value is straightforward: less spreadsheet work, clearer exception handling, and a repeatable process that supports accurate reporting.

What finance teams gain from a structured matching workflow

With Cointab, teams can:

map fields once and reuse the setup
handle recurring reconciliations more consistently
separate matched and open items clearly
reduce manual review effort
support month-end and audit preparation
keep reconciliation history in one shared workspace
work with a process that is transparent and reviewable

That makes transaction matching reconciliation easier to manage across teams, periods, and data sources.