Simplifying Reconciliation Across Industries with Cointab
Finance teams in every industry deal with the same core challenge: matching internal records with external records, finding differences quickly, and producing reports that stand up to review. The systems may be different, but the work is often the same. Sales reports, ERP exports, payment gateway files, bank statements, marketplace settlements, vendor statements, and logistics reports all need to be compared, checked, and closed.
Cointab is an AI-assisted reconciliation platform that helps finance teams simplify this work. Users upload files, map fields once, run reconciliation, review matched, partially matched, unmatched, and skipped transactions, and download audit-ready reports. The same setup can be reused for future periods, which makes reconciliation more consistent and less dependent on manual spreadsheet work.
Why reconciliation becomes harder as businesses grow
As businesses expand, reconciliation usually becomes more complex for a few reasons:
- More systems create more files to compare.
- Transaction volumes increase and become harder to review manually.
- Different partners use different file formats and reference fields.
- Excel formulas, VLOOKUPs, and copy-paste checks become difficult to audit.
- Exceptions remain open for longer when teams are working across multiple spreadsheets.
- Month-end close and audit preparation take more time.
In many teams, the same reconciliation is rebuilt again and again for each period. That repetition slows down finance operations and increases the chance of error.
One reconciliation workflow for many business models
Cointab uses a simple Side A and Side B model.
- Side A is your internal record set, such as sales, books, ERP exports, ledgers, or order data.
- Side B is the external record set, such as payment gateway reports, bank statements, settlement files, vendor statements, or delivery partner reports.
This structure works for both popular reconciliations and custom reconciliations.
Popular reconciliations
Popular reconciliations are pre-built templates for standard workflows such as:
- Sales vs payment gateway
- Bank vs books
- Marketplace sales vs settlement
- COD delivery partner vs sales
- Marketplace vs settlement
These are useful when the external report structure is consistent across customers.
Custom reconciliations
Custom reconciliations are used when a finance team needs to compare business-specific records. For example:
- Internal sales report vs Cashfree, Razorpay, or Stripe reports
- ERP sales vs marketplace settlement files
- Books vs bank statement
- Vendor ledger vs vendor statement
- Order report vs COD delivery partner report
In both cases, the goal is the same: upload the data, define the fields, match transactions, and review the exceptions.
How Cointab simplifies reconciliation across industries
1. Upload files and map fields once
Users can upload CSV, XLS, or XLSX files and map the key fields required for reconciliation, such as:
- Header row
- Date column
- Amount column
- Reference or identifier column
Identifier fields may include order IDs, transaction IDs, invoice numbers, UTRs, settlement IDs, AWB numbers, SKU codes, or customer and vendor codes.
Once a reconciliation is configured, the same setup can be reused instead of being recreated every month.
2. Use supporting data to prepare records
Sometimes the primary report needs enrichment before reconciliation starts. Cointab supports supporting data for tasks such as:
- Adding order details
- Looking up fee or tax rates
- Combining sales and returns
- Pulling in SKU or store mappings
- Enriching delivery or partner references
Supporting data is not reconciled directly. It is used to prepare the records so the matching process is cleaner and more accurate.
3. Create derived columns when the raw file needs cleanup
Finance teams often need calculated fields before matching can happen. Cointab allows users to create derived columns on both sides.
Examples include:
- Clean Order ID
- Net Amount
- Refund Amount as Negative
- Normalized Transaction ID
- Amount After Fee
- Combined Reference
Users can also use AI to describe the logic in plain language and generate an Excel-style formula. That helps finance users create derived fields without building formulas manually.
4. Run structured matching across simple and complex scenarios
Cointab’s reconciliation engine is designed for structured matching, not rough spreadsheet comparison. It can handle:
- 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, and similar logic. This matters when identifiers appear in different formats or when several records need to be grouped before amounts can be compared.
5. Review matched, partially matched, unmatched, and skipped records
After the run, finance teams can review the reconciliation report and focus on exceptions rather than checking every row manually.
- Fully matched records meet the matching logic on identifiers and amounts.
- Partially matched records are related, but the amounts differ.
- Unmatched records appear on one side but not the other.
- Skipped records were excluded because they were incomplete, invalid, duplicated, or otherwise not usable.
This clear classification helps teams separate routine matches from items that need review.
6. Use AI where deterministic rules are not enough
After structured matching is complete, AI can help analyze open items where the answer is not obvious from rules alone. For example, it can help with:
- Unstructured references
- Slightly different descriptions
- Missing identifiers
- Complex grouping situations
- Exception transactions
AI can also help identify why a transaction may be unmatched and what action may be needed next. If evidence is not strong enough, the transaction should remain unmatched rather than being forced into a weak match.
7. Manually match exceptions when business context is needed
Some reconciliation items need human review. Cointab supports manual matching for cases where the user knows the business context and the system cannot confidently resolve the item.
That is useful when:
- Partner data is incomplete
- Identifiers are missing
- A one-off exception needs review
- A partial match needs to be reworked into a manual match
Manual matches remain visible and auditable.
8. Reuse the same setup or automate recurring runs
Once a reconciliation has been configured, users can run it again for future periods without rebuilding the logic. Cointab also supports automation through email, SFTP, and API-based data flow.
That means teams can:
- Receive reports automatically
- Run reconciliations on a schedule
- Push output back to internal systems
- Keep finance, accounting, and reporting teams aligned with current data
Common reconciliation use cases by industry
| Industry | Side A example | Side B example | What finance teams reconcile |
|---|---|---|---|
| eCommerce and D2C | Sales or order report | Payment gateway report | Paid, underpaid, overpaid, refunded, or missing transactions |
| Marketplaces | Marketplace sales data | Settlement and deduction reports | Sales, fees, returns, deductions, and settlements |
| Banking and finance | Book ledger data | Bank statement | Receipts, payments, and open entries |
| Logistics and delivery | COD order report | Delivery partner remittance report | COD collections, remittances, and differences |
| Vendor operations | Vendor ledger | Vendor statement | Invoices, payments, credit notes, and open balances |
| SaaS and services | Internal billing or receivables | Payment or bank data | Customer payments, outstanding dues, and unapplied receipts |
These are different workflows, but the reconciliation process is similar: match the records, find the difference, and explain what needs action.
What finance teams gain from a shared reconciliation platform
A single reconciliation platform helps teams standardize the way they work across periods and use cases.
More consistency
The same logic can be reused across monthly, quarterly, yearly, or custom periods.
Better control
Teams can see what was matched, what remained open, what was skipped, and what was manually adjusted.
Faster exception handling
Instead of reviewing every line item, teams can focus on the exceptions that matter.
Audit-ready reporting
Cointab lets users download Excel reconciliation reports that include matched, partially matched, unmatched, and skipped records.
Team collaboration
Multiple users can work in one shared workspace with roles, permissions, and reconciliation history.
What the reconciliation dashboard shows
The dashboard keeps past runs available for future reference. Typical details include:
- Reconciliation name
- Period
- File set used
- Status
- Run date and time
- Run by
- View report action
That makes it easier for finance teams to track recurring reconciliations and review history when needed.
Frequently asked questions
Is Cointab only for bank reconciliation?
No. Cointab is a flexible reconciliation platform that can compare any two sides of financial or operational data, including sales vs payment gateway, marketplace vs settlement, vendor reconciliation, COD reconciliation, and bank vs books.
Can the same reconciliation setup be reused every month?
Yes. Once a reconciliation is configured, it can be reused for future periods instead of being rebuilt from scratch.
What if the team receives a missing file later?
Users can upload the missed file under the same reconciliation and refresh the report. This is useful when partner or bank files arrive late.
Can reconciliation runs be automated?
Yes. Cointab supports automated data input and scheduled reconciliation runs using email, SFTP, and API-based workflows.
What if some records do not match automatically?
Users can review unmatched items, use AI-assisted analysis where appropriate, and apply manual matching when business context is needed.
Cointab is designed to make reconciliation more structured, reviewable, and repeatable for finance teams that manage multiple data sources and recurring close cycles.