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Flipkart Marketplace Reconciliation Using ERP

Flipkart marketplace reconciliation using ERP helps finance teams compare marketplace reports with internal books, sales ledgers, and settlement records. Instead of checking every transaction in Excel, teams can upload the required files, map fields once, run reconciliation, and review matched and unmatched records in a structured report.

For Flipkart-led businesses, the main objective is simple: make sure the orders recorded in ERP align with the sales, settlement, and return data received from Flipkart. When the numbers do not line up, finance teams need a clear way to isolate missing orders, settlement differences, deductions, refunds, and timing issues.

Reconcile Flipkart data against ERP records

In this workflow, your ERP data acts as Side A and Flipkart reports act as Side B.

  • Side A: Your records

    • ERP sales export
    • Ledger entries
    • Invoice data
    • Internal order or revenue records
  • Side B: External records

    • Flipkart sales report
    • Flipkart settlement report
    • Flipkart returns report
    • Other marketplace reference files

Cointab helps finance teams compare these records using structured matching logic. The result is a reconciliation report that shows which transactions matched, which were partially matched, which remain unmatched, and which records were skipped because of file or data issues.

Reports commonly used in Flipkart reconciliation

A Flipkart ERP reconciliation workflow usually involves multiple reports, depending on how the business recognizes revenue, settlements, and returns.

  • Flipkart sales or order report
  • Flipkart settlement report
  • Flipkart returns report
  • Flipkart payment or remittance-related data, where applicable
  • ERP sales export or invoice report
  • ERP ledger or books report

If a business tracks deductions, refunds, or return adjustments separately, those supporting files can also be added to enrich the main reconciliation.

How the reconciliation works

The workflow follows a repeatable sequence that finance teams can use every month or for any reporting period.

  1. Upload the Flipkart and ERP files.
  2. Map the required columns such as date, amount, order ID, invoice number, settlement ID, or other identifiers.
  3. Add supporting data if needed for lookup, enrichment, or calculation.
  4. Create derived columns when a value needs to be cleaned, combined, or calculated before matching.
  5. Run reconciliation manually or schedule it to run automatically.
  6. Review the results in the report dashboard.
  7. Export the Excel report for internal review, follow-up, or audit support.

This gives finance teams a transparent process instead of a one-time spreadsheet exercise.

Flipkart Sales Report vs ERP Report

This comparison helps teams confirm that revenue-related records captured in Flipkart are also reflected correctly in ERP.

Typical checks include:

  • Order IDs present on both sides
  • Invoice amounts that match the ERP sales entry
  • Orders present in Flipkart but missing in ERP
  • ERP entries that do not appear in the Flipkart sales report
  • Amount differences caused by rounding, deductions, or late updates

What this comparison helps identify

Result type What it means
Fully matched Order reference and amount align between Flipkart and ERP
Partially matched The order is linked, but the amount differs
Unmatched The record appears on one side but not the other
Skipped The row was excluded because the data was incomplete or invalid

Flipkart Settlement Report vs ERP Report

Settlement reconciliation is important when the amount received from Flipkart does not exactly match the expected ERP amount.

This comparison helps identify:

  • Settlement values that match the ERP record
  • Less settlement recorded in ERP
  • More settlement recorded in ERP
  • Orders or settlement lines missing in ERP
  • Entries that may reflect deductions, refunds, or timing differences

For finance teams, this is often the most important exception review because it connects marketplace activity to actual cash flow and receivables.

ERP vs Flipkart reconciliation

Some teams also need a reverse comparison: which ERP records can be found in Flipkart reports, and which ones cannot.

This check is useful when the ERP is treated as the internal source of truth and the team wants to validate what Flipkart has captured.

Common outputs include:

  • Total transactions
  • Total Flipkart ledger entries in ERP
  • Found in Flipkart
  • Not found in Flipkart

This view is especially helpful for month-end close, dispute tracking, and review of missing marketplace entries.

Supporting data and derived columns

Marketplace reconciliation often requires more than a simple order ID match. Some teams need product masters, mapping files, fee reference files, GST or tax data, return reports, or delivery-related data to prepare the records before matching.

Cointab supports supporting data on both sides to help with:

  • Lookups
  • Merging files
  • Data enrichment
  • Amount calculations
  • Identifier cleanup
  • Combining related records before reconciliation

Users can also create derived columns when the raw report needs a calculated value. For example, a team may need a clean order ID, a net amount after deductions, or a normalized transaction reference before running the match.

Handling exceptions in Flipkart reconciliation

Not every item should be forced into a match. A strong reconciliation process makes exceptions visible so finance teams can review them properly.

Cointab separates items into clear buckets:

  • Fully matched records
  • Partially matched records
  • Unmatched records
  • Skipped records

This structure helps teams focus on the exceptions that need action, rather than manually checking every row.

When deterministic matching is not enough, AI can help analyze open items, suggest possible reasons for differences, and highlight whether a file may be missing or a settlement adjustment may explain the gap. If the evidence is weak, the transaction remains unmatched for review.

Manual match and report refresh

Some reconciliation items need human review because the partner file may be incomplete or the business context may not be obvious from the data alone.

Cointab includes a manual match option for these cases. Finance users can select transactions from both sides and mark them as matched when the totals align.

If a file was missed earlier, the team can upload it under the same reconciliation and refresh the report. This is useful for Flipkart workflows where reports may arrive late or in stages.

Why finance teams use this workflow

Flipkart marketplace reconciliation using ERP is valuable because it supports day-to-day finance control as well as period-end reporting.

Benefits include:

  • Less manual spreadsheet work
  • Consistent matching logic across periods
  • Clear visibility into differences and exceptions
  • Reusable reconciliation setup for future runs
  • Audit-ready Excel exports for review and follow-up
  • Better support for month-end and quarter-end close
  • A shared workspace for finance, accounting, and operations teams

Reconciliation reports remain available for review

Once reconciliation is complete, the report stays available on the dashboard for future reference. Teams can filter by reconciliation, period, or run history and review the output later without rebuilding the workflow.

When required, reconciliation output can also be delivered through email, SFTP, or API so internal finance systems and reporting layers can stay up to date.

Trusted by finance teams handling recurring reconciliation

Cointab is used by finance and operations teams that reconcile high-volume, multi-source financial and operational data across sales, payments, marketplaces, banks, and partner reports.

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Written by Cointab Team

Cointab builds reconciliation automation software for finance teams. The platform helps businesses match internal records with external reports, review exceptions, automate recurring data flows, and download audit-ready reconciliation reports.

CointabCointab

Reconciliation automation for finance teams. Match sales, payments, marketplaces, banks, and partner reports with reusable workflows and audit-ready reports.

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