Automated Reconciliation Software for Finance Teams
Cointab helps finance teams automate transaction matching, review exceptions, and produce audit-ready reconciliation reports without rebuilding the same spreadsheet logic every month. It is designed for teams that need a structured way to compare internal records with external records across sales, payments, bank statements, settlements, vendor statements, and other high-volume finance data.
Reconciliation automation built for finance operations
Manual reconciliation often starts in Excel and quickly becomes repetitive: files are downloaded, columns are mapped, formulas are copied across tabs, and exceptions are reviewed one by one. That approach can work for small volumes, but it becomes difficult to manage when teams handle multiple data sources, recurring close cycles, or large transaction files.
Cointab replaces that process with a reusable reconciliation workflow. Finance teams can upload files, map fields once, run reconciliation, and review the results in a structured report. The same setup can then be reused for future periods.
How Cointab works
Cointab follows a clear Side A and Side B model:
- Side A contains the records your business expects to be correct, such as sales reports, books data, ERP exports, internal order data, or ledger reports.
- Side B contains external records from payment gateways, marketplaces, banks, vendors, delivery partners, or other outside sources.
A typical workflow looks like this:
- Start a new reconciliation in a team workspace.
- Choose a popular reconciliation or create a custom one.
- Upload the required files for Side A and Side B.
- Map key fields such as date, amount, and identifiers.
- Optionally add supporting data for lookups, merging, enrichment, or calculations.
- Create derived columns with AI-assisted Excel-style formulas when needed.
- Run reconciliation manually or on a schedule.
- Review the report and analyze matched and open items.
- Download the Excel report for internal review or audit follow-up.
What the reconciliation engine can match
Cointab uses structured matching logic to compare records across both sides. The engine supports a range of finance 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
It can compare identifiers and amounts using different logic, such as equals, contains, similar, and subset-based matching. This helps finance teams handle real-world cases where references may differ across systems or where a single transaction must be grouped before it can be compared.
Clear reporting for matched and open items
Once reconciliation is complete, Cointab shows a report with transaction-level detail and summary views. Finance users can review:
- fully matched records
- partially matched records
- unmatched records
- skipped records
This makes it easier to focus on exceptions instead of reviewing every row manually. For example, a sales order may match a payment record by order ID but still show a difference in amount. That partial match is visible in the report, so the team can investigate the cause rather than overlooking it.
Skipped records are also visible, which helps teams understand what was excluded and why. That is especially useful during month-end close and audit review.
Reconciliation types supported by Cointab
Cointab supports both popular reconciliations and custom reconciliations.
Popular reconciliations
Popular reconciliations are pre-built templates for common finance workflows. They are useful when both sides follow a standard report structure, such as:
- sales vs payment gateway reconciliation
- marketplace sales vs settlement reconciliation
- bank statement vs books reconciliation
- COD delivery partner reconciliation
- marketplace reconciliation
These workflows are configured to be reusable, so finance teams do not need to rebuild the same logic each period.
Custom reconciliations
Custom reconciliations are built for business-specific processes. They are useful when the reports, identifiers, or matching rules are unique to the company.
Examples include:
- internal sales report vs multiple payment gateways
- ERP sales vs marketplace settlement
- books vs bank statement
- vendor ledger vs vendor statement
- order report vs COD delivery partner data
Supporting data and derived columns
Not every reconciliation can be completed using the primary files alone. Cointab supports optional supporting data that can be used to enrich or prepare records before reconciliation.
Common supporting data includes:
- product master files
- fee rate files
- return reports
- order metadata
- marketplace mapping files
- GST or tax mapping files
- customer or vendor master files
- SKU mapping files
Teams can also create derived columns on both sides. These are calculated columns based on existing fields, which can help with cleaning identifiers, calculating net amounts, normalizing references, or building matching logic.
AI can assist with formula creation when users describe the logic in plain language and want an Excel-style formula generated for them.
AI helps with formulas and difficult open items
Cointab uses AI in a conservative, reviewable way. The platform can help with three practical tasks:
- generating formulas for derived columns
- analyzing open transactions after structured matching is complete
- suggesting possible reasons or actions for unresolved items
This is useful when references are inconsistent, descriptions are unstructured, or business context is needed to interpret an exception. If the evidence is not strong enough, the item stays unmatched rather than being forced into a weak match.
Reusable setup and recurring automation
A major advantage of Cointab is reuse. Once a reconciliation is configured, finance teams can use it again for the next month, quarter, or custom period without rebuilding the workflow.
Cointab also supports automation through email, SFTP, and API-based data flow. That means files can be received or pulled automatically, reconciliation can be scheduled, and output can be delivered back to internal systems after the run is complete.
This makes Cointab useful not only for one-time review, but also for recurring finance operations.
Team collaboration and audit readiness
Cointab is built for shared finance workspaces, not isolated spreadsheet files. Multiple users can work in one team account with roles and access control. The dashboard keeps past reconciliation runs available for future reference, and audit logs help track when a run happened, what data was used, and who performed it.
That combination is important for teams that need transparency during close, dispute handling, and audit preparation.
Manual reconciliation vs automated reconciliation
| Manual reconciliation | Cointab reconciliation automation |
|---|---|
| File-by-file checks in spreadsheets | Structured upload and field mapping |
| Formula-heavy, difficult-to-audit logic | Reusable matching logic and audit-friendly reports |
| Open items tracked manually | Fully matched, partially matched, unmatched, and skipped records clearly separated |
| Repeated setup each period | Reusable reconciliation workflows |
| Limited visibility into exceptions | Detailed exception review and transaction-level reporting |
| Manual follow-up for late files | Missed files can be added later and the report refreshed |
Common finance use cases
Cointab supports a wide range of reconciliation workflows across finance and operations teams, including:
- payment reconciliation
- bank reconciliation
- settlement reconciliation
- vendor reconciliation
- customer reconciliation
- invoice reconciliation
- ERP reconciliation
- marketplace reconciliation
- COD reconciliation
- intercompany reconciliation
- tax and statutory data reconciliation
What finance teams get from the platform
Cointab is designed to help teams work faster while keeping control over the reconciliation process. Finance users can see what matched, what did not match, what was skipped, and what needs review. They can reuse the same setup across periods, automate recurring data flow, and keep reports available for internal follow-up and audit readiness.
The result is a more structured reconciliation process with less dependency on manual spreadsheet work.
