Automated Transaction Matching for Faster Reconciliation

Cointab helps finance teams automate transaction matching across internal records and external reports. Upload Side A and Side B files, map key fields once, run reconciliation, and review matched, partially matched, unmatched, and skipped transactions in a structured report.

The platform is designed for recurring finance workflows where teams compare sales reports, payment gateway files, bank statements, marketplace settlements, vendor statements, ERP exports, and other source data. Instead of rebuilding spreadsheets every month, teams can reuse the same reconciliation setup for future periods.

Reconcile transactions across any two sides

Cointab follows a simple reconciliation model:

• Side A: your internal records, such as sales, books, ERP data, ledgers, receivables, or payables
• Side B: external records received from banks, payment gateways, marketplaces, delivery partners, vendors, customers, or other systems

This makes the platform useful for many reconciliation workflows, including:

• Sales vs payment gateway reconciliation
• Marketplace sales vs settlement reconciliation
• Bank statement vs books reconciliation
• Vendor reconciliation
• Customer reconciliation
• COD delivery partner reconciliation
• ERP reconciliation
• Any custom internal vs external data matching workflow

How automated transaction matching works

Cointab is built to make transaction matching repeatable and reviewable. The typical workflow is:

1. Upload CSV, XLS, or XLSX files for Side A and Side B.
2. Map the required fields such as date, amount, and identifier columns.
3. Add optional supporting data for lookup, enrichment, or calculations.
4. Create derived columns when a field needs to be cleaned or calculated before matching.
5. Run reconciliation manually or on a schedule.
6. Review the report with clear matched and exception statuses.
7. Download the Excel report or send output downstream through email, SFTP, or API.

The system shows live progress while reconciliation is running, so finance teams can track the process without wondering whether the job is stalled.

Matching logic that handles real finance data

Transaction matching is rarely a simple one-to-one exercise. Cointab supports structured matching logic for common 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 also supports different comparison methods such as equals, contains, similar, equals subset, contains subset, and similar subset.

This matters when transaction references differ slightly across systems, when one payment is split across multiple entries, or when multiple records need to be grouped before they can be compared.

Review matched, partially matched, unmatched, and skipped records

Cointab separates reconciliation outcomes clearly so finance teams can focus on exceptions instead of checking every line manually.

Fully matched

These are transactions where identifiers and amounts match according to the reconciliation logic.

Partially matched

These are transactions where identifiers match, but amounts do not match exactly. Partial matches help finance teams spot deductions, underpayments, fees, refunds, or short settlements that need review.

Unmatched

These are records present on one side but not found on the other side. Unmatched items often point to missing files, missing settlements, posting delays, or internal data gaps.

Skipped

Skipped records were not included in reconciliation because of missing data, invalid values, duplicate rows, exclusion rules, or file issues. Visibility into skipped records helps teams understand what was ignored and why.

Use supporting data to enrich the primary files

Supporting data is optional, but it can make reconciliation more complete. It is not reconciled directly. Instead, it helps enrich, prepare, or calculate values before matching.

Common supporting data includes:

• Product master files
• Fee rate files
• Return reports
• Order metadata
• Marketplace mapping files
• GST or tax mapping files
• Delivery partner reference files
• Customer or vendor masters
• SKU mapping files
• Store mapping files

This is useful when finance teams need VLOOKUP-style enrichment, merged reports, fee calculations, or cleaner identifiers before running reconciliation.

Create derived columns with AI assistance

Finance users can create derived columns on both sides of the reconciliation. A derived column is a calculated field built from existing data.

Cointab supports an AI-assisted formula builder, so users can describe the logic in plain language and generate an Excel-style formula.

Derived columns can be used for:

• Clean order IDs
• Normalized transaction IDs
• Net amounts
• Amount after fee
• Amount excluding tax
• Refund amounts as negative values
• Combined references
• Clean AWB numbers

This helps teams prepare data without manually writing complex formulas every time.

Analyze open items with AI after structured matching

After structured rules are applied, remaining open transactions can be analyzed with AI. This is useful when references are messy, identifiers are incomplete, or descriptions are inconsistent across systems.

AI can help identify:

• Possible reasons for an unmatched item
• Missing files or delayed partner data
• Refunds, returns, fees, or deductions that may explain a difference
• Whether a transaction needs follow-up or correction

The matching approach remains conservative and reviewable. If there is not enough evidence, Cointab keeps the item unmatched rather than forcing a weak match.

Manual match when finance context matters

Not every exception can be resolved by rules alone. Cointab provides a manual match option for cases where the user knows the business context and the totals tally.

Manual matching is useful when:

• Partner files are incomplete
• Identifiers are missing
• A one-off exception needs manual treatment
• AI cannot confidently match the records

Manual matches are clearly marked and can be undone when needed, which keeps the reconciliation trail transparent.

Reusable workflows for recurring reconciliation

A major benefit of Cointab is reuse. Once a popular reconciliation or custom reconciliation is set up, the same workflow can be used again for future periods.

That means finance teams do not need to rebuild the same logic every month. They can simply:

• Select the reconciliation
• Select the period
• Upload the files or let automation handle input
• Run reconciliation
• Review the report

This reduces repeated setup work and helps standardize reporting across the team.

Automate recurring data flow and scheduled runs

Cointab can also fit into ongoing finance operations through data automation. Files can be received or pulled through email, SFTP, or API, depending on the workflow.

Users can schedule reconciliation runs for:

• Daily workflows
• Weekly runs
• Monthly close
• End-of-day checks
• After file receipt
• After all required files are available

Once reconciliation is complete, output can be pushed back to internal systems, accounting systems, analytics tools, BI platforms, or other downstream workflows through email, SFTP, or API.

Audit-ready reporting for finance, audit, and operations teams

Once the reconciliation is completed, users can review a dashboard that includes summaries and transaction-level detail. Typical views include:

• Total summary
• Fully matched summary
• Partially matched summary
• Unmatched summary
• Skipped summary
• Detailed tables
• Filters for deeper analysis
• Downloadable Excel reports

This makes it easier for finance teams to prepare for review, internal follow-up, or audit requests without rebuilding reports manually.

Built for shared finance workspaces

Cointab supports team-based workspaces, so finance teams can work in one shared environment instead of passing spreadsheet files around. Multiple users can collaborate with roles, permissions, and shared reconciliation history.

That structure is useful for teams that need visibility into who ran a reconciliation, what files were used, and how an exception was resolved.

When automated transaction matching is most useful

Automated transaction matching is especially helpful when the business deals with recurring, high-volume, or multi-source data. Common examples include:

• eCommerce and D2C payment reconciliation
• Marketplace settlement reconciliation
• Bank reconciliation
• Vendor statement reconciliation
• COD remittance reconciliation
• Intercompany or internal control reconciliations
• Finance close workflows that require repeatable checks

In these situations, the goal is not just matching records. It is also creating a reliable process that helps finance teams investigate differences faster and maintain a clean audit trail.

What finance teams gain from a structured matching process

Cointab gives teams a clearer way to handle reconciliation work by combining structured matching, exception review, reusable setup, and optional automation.

The result is a workflow that helps teams:

• Reduce repetitive manual spreadsheet work
• Review exceptions faster
• Standardize matching logic across periods
• Keep unmatched and skipped items visible
• Support audit-ready reporting
• Reuse the same setup instead of rebuilding it every month