Pepperfry Marketplace Reconciliation Using ERP

For Pepperfry sellers, reconciliation often means matching marketplace orders, settlements, cancellations, and fees against ERP or books data. Cointab provides a structured Pepperfry marketplace reconciliation workflow that helps finance teams compare Side A and Side B records, isolate discrepancies, and export audit-ready reports.

How Pepperfry reconciliation works in Cointab

Cointab is built for reconciliation between two sides of financial or operational data. For a Pepperfry workflow, one side usually contains your internal ERP or books data, while the other side contains Pepperfry marketplace reports.

Depending on your process, you can set up the workflow in either direction:

ERP vs Pepperfry marketplace reports
Pepperfry marketplace reports vs ERP
Sales reports vs settlement reports
Order data vs payment or UTR data

You can reuse the same setup for future periods instead of rebuilding the reconciliation each month.

Typical reports used for Pepperfry reconciliation

Finance teams usually compare a combination of these inputs:

Pepperfry order detail report
Pepperfry shipping details report
Pepperfry cancellation report
Pepperfry UTR or settlement report
Internal ERP exports such as sales, invoice, ledger, or settlement working files

If your process needs supporting data, you can also upload additional files for lookups, enrichment, or calculations before reconciliation.

Match Pepperfry data with ERP records

The reconciliation setup starts with file upload and field mapping. Users select the header row, date column, amount column, and reference or identifier columns for each report.

Common identifiers include:

Order ID
Transaction ID
Invoice number
Payment reference
Settlement ID
Customer or vendor code
Any internal reference used in the ERP

Cointab supports CSV, XLS, and XLSX files. If a file does not match the configured format, the system can reject it with a clear message so the issue is visible before reconciliation continues.

Supporting data and derived columns

Pepperfry reconciliation often needs more than a simple file-to-file comparison. Supporting data can be used to enrich or prepare the primary files before matching.

Examples include:

Product master files
Tax or GST mapping files
Marketplace mapping files
Order metadata
Fee or deduction reference files
Customer or vendor master files

Users can also create derived columns when a field needs to be cleaned, combined, or calculated before matching. AI can help generate Excel-style formulas from natural language instructions.

Examples of derived columns include:

Clean Order ID
Net Amount
Normalized Transaction ID
Amount after fee
Refund amount as negative
Combined reference

What Cointab looks for during reconciliation

Cointab uses structured matching logic to compare records across both sides. The engine can handle common reconciliation patterns found in marketplace workflows, including:

One-to-one matching
One-to-many matching
Many-to-one matching
Many-to-many matching
Net-to-net matching
Partial matching
Contra entries

This is useful when a single Pepperfry transaction relates to multiple ERP lines, when multiple records need to be grouped, or when amount differences need to be reviewed rather than ignored.

The system first applies structured rules. After that, remaining open items can be analyzed using AI where deterministic logic is not enough.

Review matched, unmatched, and exception records

Once reconciliation is complete, the report dashboard shows the transaction status clearly so finance teams can focus on exceptions instead of reviewing every row manually.

Fully matched

Fully matched records are transactions where identifiers and amounts align according to the configured logic. These are the clean matches finance teams expect to see.

Partially matched

Partially matched records are transactions where the identifier matches, but the amount does not. In a Pepperfry workflow, this may happen when there are deductions, returns, fees, shipping adjustments, or settlement differences that need review.

Unmatched

Unmatched records are present on one side but not found on the other. Examples include:

Orders in ERP that are missing from Pepperfry reports
Pepperfry transactions not yet reflected in ERP
Settlement entries that do not map to internal records
Cancellations or refunds that need follow-up

Skipped

Skipped records are rows that were not included in reconciliation because of a rule, file issue, missing data, or invalid row. Skipped items remain visible so the finance team can understand what was excluded and why.

Why Pepperfry sellers use Cointab

Pepperfry reconciliation is rarely just a monthly file comparison. Teams often need repeatable workflows, exception review, and audit-ready output.

Cointab helps by making the process more structured and reusable:

Upload files, map fields once, and run reconciliation anytime
Reuse the same Pepperfry setup for future periods
Review matched, partially matched, unmatched, and skipped records in one report
Use manual match when the system and AI cannot confidently resolve an item
Refresh the report if a missing file arrives later
Automate recurring data flow through email, SFTP, or API where needed
Keep reconciliation history available in the dashboard for future reference
Work in a shared team workspace with roles, permissions, and audit logs

Monthly and recurring reconciliation workflows

Pepperfry sellers often reconcile on monthly or custom settlement cycles. Cointab supports flexible period handling, so teams can reconcile monthly, quarterly, yearly, or lifetime data.

That makes it easier to manage:

Month-end close
Settlement review
Open item follow-up
Period-over-period comparison
Historical reporting

If a report arrives late, users can upload the missed file under the same reconciliation and refresh the output instead of starting over.

Audit-ready reporting for finance teams

After reconciliation, users can download Excel reports containing the relevant matched and exception records. This supports internal review, partner follow-up, and audit preparation.

The report structure helps finance teams answer the practical questions that matter:

What matched?
What is still open?
What was skipped?
What needs manual review?
Which differences may be explained by fees, returns, cancellations, or settlement adjustments?

For finance teams managing marketplace revenue, this clarity is often the difference between a messy spreadsheet process and a controlled reconciliation workflow.

Reconciliation setup that can be reused

Once the Pepperfry workflow is configured, the same setup can be reused for future periods. That reduces repeated setup work and helps keep the process consistent across runs.

For teams handling recurring marketplace reconciliations, this means:

Less dependency on spreadsheet formulas
Fewer manual copy-paste steps
More consistent review logic
Easier collaboration across finance and operations teams
Better visibility into exceptions and follow-up work

Common Pepperfry reconciliation scenarios

Cointab can support different Pepperfry-related workflows depending on how your finance team works:

ERP sales vs Pepperfry settlement reporting
Pepperfry orders vs internal books
Marketplace deductions vs ERP entries
Cancellations and returns vs accounting records
Payment confirmation or UTR data vs internal receivables

The goal is the same in each case: compare your source-of-truth records with external marketplace data, identify discrepancies clearly, and keep the reconciliation process reviewable.

Frequently used finance controls

Because the workflow is transparent, finance teams can see what was matched and why. That makes it easier to manage controls around open items, unsupported entries, and follow-up tasks.

Common control points include:

Clear field mapping for date, amount, and identifiers
Visible skipped records
Manual match with auditability
Reusable workflow configuration
Downloadable reconciliation output
Team access and reporting history