Flipkart Marketplace Reconciliation Using OMS

Flipkart marketplace reconciliation becomes easier when your OMS data and Flipkart files are compared in a structured workflow instead of manually in Excel. Cointab helps finance teams match internal order records against Flipkart marketplace reports, identify discrepancies, review exceptions, and export audit-ready reconciliation reports.

Why Flipkart reconciliation with OMS matters

For sellers on Flipkart, the OMS is usually the internal source of truth for orders, while Flipkart sends external reports for sales, settlements, returns, cancellations, and deductions. These records do not always line up exactly.

Common issues include:

• Orders present in Flipkart reports but missing in the OMS
• Orders recorded in the OMS but not found in Flipkart files
• Settlement amounts that differ from order amounts
• Returns, cancellations, fees, or deductions that are not reflected consistently
• Partial matches where the order reference is correct but the amount is different

When this work is handled manually, finance teams often rely on spreadsheets, lookups, and repeated file comparisons. That makes period-end close slower and exception tracking harder.

How Cointab handles Flipkart marketplace reconciliation

Cointab uses a Side A and Side B reconciliation model:

• Side A: your OMS or internal order data
• Side B: Flipkart marketplace files such as order, sales, settlement, and return reports

The workflow is designed to be reusable. Once the reconciliation is configured, the same setup can be used again for future periods with new files.

Typical reconciliation flow

1. Upload OMS and Flipkart files in CSV, XLS, or XLSX format.
2. Map fields such as date, amount, and identifiers.
3. Add supporting files if needed for enrichment or lookups.
4. Create derived columns if a field needs cleaning, combining, or calculation.
5. Run reconciliation manually or on a schedule.
6. Review the reconciliation report with matched and open transactions.
7. Download the Excel report for review, audit, or follow-up.

Reports commonly used in the workflow

A Flipkart reconciliation setup may compare one OMS file against one or more marketplace files. Depending on the process, teams often work with:

• Order data from the OMS
• Flipkart sales or invoice data
• Flipkart settlement data
• Flipkart return or cancellation data
• Supporting files such as item masters, SKU maps, fee references, or tax mappings

These files help finance teams compare what was ordered, what was shipped or cancelled, what was settled, and what was finally received.

What the reconciliation engine matches

Cointab uses structured matching logic to compare records across both sides. It can handle simple and complex 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

The engine can match by identifiers such as:

• Order ID
• Transaction ID
• Invoice number
• Settlement ID
• Payment reference
• SKU or other business identifiers

It also supports comparison logic such as equals, contains, and similar matching where appropriate.

How exceptions are classified

Once the reconciliation runs, Cointab separates transactions into clear result groups so finance teams can focus on exceptions instead of reviewing every row.

Fully matched

These are transactions where the identifiers and amounts align according to the configured logic.

Partially matched

These are transactions where the reference matches, but the amounts differ. This is useful for identifying settlement differences, deductions, underpayments, overpayments, or adjustments.

Unmatched

These are transactions found on one side but not the other. In a Flipkart workflow, this may indicate a missing order, a missing settlement entry, a cancelled transaction, or a record that needs investigation.

Skipped

These are records that were excluded because of missing data, invalid values, duplicate rows, or a file issue. Skipped items stay visible so the team knows what was not included and why.

Supporting data and derived columns

Flipkart reconciliation often needs more than the primary order and settlement files. Cointab lets teams upload supporting data for lookup, merge, enrichment, or calculation.

Examples include:

• Product master files
• Fee rate files
• SKU mapping files
• Tax mapping files
• Return reports
• Order metadata
• Customer or vendor reference files

Users can also create derived columns using AI-assisted formulas. This is helpful when the raw data needs to be cleaned or transformed before matching.

Examples of derived columns include:

• Clean order ID
• Normalized transaction reference
• Net amount after deductions
• Delivered payment amount
• Amount excluding tax
• Combined reference field

Manual review for unresolved items

Not every transaction can be matched automatically. When records remain open, users can review them directly in the report, filter the exceptions, and perform manual matching when the business context supports it.

This is useful when:

• Partner data is incomplete
• Identifiers are missing or inconsistent
• A one-off exception needs special handling
• The totals tally but the system cannot confidently match the records

Manual matches remain clearly marked for auditability.

Reconciliation for recurring periods

Flipkart reconciliation is rarely a one-time task. Most teams need the same process for every month, quarter, or settlement period.

Cointab supports reusable reconciliation setups for recurring work such as:

• Monthly close
• Quarterly review
• Yearly reporting
• Custom settlement periods
• Lifetime or all-time reconciliation

Teams can reuse the same setup, upload the new files, and run the reconciliation again without rebuilding the workflow from scratch.

Automation for finance operations

For teams that manage recurring marketplace files, Cointab can support automated data input and scheduled reconciliation runs through email, SFTP, or API-based workflows.

That means the reconciliation can be set up once and then run on a recurring basis when the required files are available. The output can also be delivered back to internal systems through email, SFTP, or API, depending on the setup.

Why this matters for finance and marketplace teams

Flipkart reconciliation affects more than reporting. It supports financial control, settlement review, period-end close, and partner follow-up.

A structured workflow helps teams:

• Reduce repetitive Excel work
• Separate matched and unmatched transactions clearly
• Spot settlement differences earlier
• Track open items in one workspace
• Keep reconciliation output available for review and audit
• Reuse the same setup across future periods

For marketplace finance teams, that means less time spent rebuilding files and more time spent resolving exceptions and closing the books with confidence.