EcomPL vs Manual Settlement Reconciliation
Automated payment reconciliation vs the traditional manual process for marketplace sellers
The Settlement Reconciliation Challenge
When you sell on marketplaces like Meesho, Flipkart, Amazon, or Myntra, the payment you receive from the marketplace is not always the same as what you expected based on your order data. Marketplace settlements include various deductions — commissions, shipping charges, return deductions, penalties, GST adjustments, and more. Reconciling what the marketplace deducted against what you expected is known as settlement reconciliation.
Many sellers perform this reconciliation manually using spreadsheets, comparing marketplace order data row by row against payment settlement data. This page explains how that manual process compares to EcomPL's automated approach.
The Manual Reconciliation Process
A typical manual settlement reconciliation workflow looks like this:
Download Order Data
Export your order data from the marketplace seller dashboard as a CSV or Excel file.
Download Payment/Settlement Data
Export your payment or settlement data from the same marketplace dashboard.
Match Orders to Payments
Manually match each order in the order file to its corresponding entry in the payment file using order IDs. This often involves VLOOKUP, INDEX-MATCH, or manual copy-paste between sheets.
Verify Deductions
Check each deduction the marketplace applied (commission, shipping, returns, penalties) against expected values. Identify any amounts that do not match.
Identify Discrepancies
Flag orders where the payment received does not match the expected amount. Note missing payments and unmatched settlements.
Raise Tickets or Follow Up
Contact marketplace support for identified discrepancies with supporting data from your spreadsheet.
Feature Comparison
| Aspect | Manual Reconciliation | EcomPL Automated Reconciliation |
|---|---|---|
| Data Import | Download files manually, open in Excel, format columns, and prepare data for matching. | Import order and payment files directly. Auto-detects format and processes data. |
| Order-Payment Matching | Manual VLOOKUP/INDEX-MATCH or row-by-row comparison. Time-consuming for large datasets. | Automatically matches orders to their corresponding payment entries using order IDs. |
| Discrepancy Detection | Requires manual comparison and flagging. Easy to miss discrepancies in large datasets. | Automatically identifies and lists payment discrepancies, missing payments, and unmatched settlements. |
| Multi-Marketplace | Separate spreadsheets for each marketplace. Different column formats and fee structures. | Supports Meesho, Flipkart, Amazon, and Myntra with marketplace-specific processing. |
| Scale Handling | Manageable for small order counts. Becomes increasingly difficult as volume grows. Spreadsheet formulas may slow down. | Designed for large datasets. Processing time remains consistent regardless of order volume. |
| Missing Payment Identification | Requires careful cross-referencing. Payments present in order data but missing from settlement data can be overlooked. | Automatically flags orders where expected payment is missing from the settlement file. |
| Time Required (100 orders) | 1-2 hours for setup, matching, and verification. | 2-5 minutes for file import and report generation. |
| Time Required (1000+ orders) | 4-8+ hours depending on complexity and spreadsheet skill level. | Same 2-5 minutes. Consistent processing time. |
| Error Risk | Formula errors, row misalignment, and human oversight are common in manual matching. | Automated matching reduces human error. Results based on direct data comparison. |
| Repeatability | Must repeat the entire manual process for each reconciliation period. | Same workflow each time. Import files, generate report. Repeatable and consistent. |
| Reporting Output | Custom spreadsheet layouts. You control the output format entirely. | Pre-formatted reconciliation reports with discrepancy summaries and order-level details. |
| Cost | Free in monetary terms. Requires significant time investment. | Free download with limited features. Premium license for full analysis. |
Common Reconciliation Issues Sellers Face
When performing manual reconciliation, sellers frequently encounter these challenges:
- Unmatched settlements: Payments in the settlement file that do not correspond to any order in the order file. These may be reimbursements, adjustments, or delayed settlements.
- Missing payments: Orders in the order file for which no corresponding payment appears in the settlement file.
- Deduction discrepancies: Marketplace deductions that do not match the expected commission or fee structure.
- Partial payments: Orders where only a portion of the expected amount was paid.
- Date mismatches: Orders and payments appearing in different settlement periods.
- Multi-currency adjustments: Orders with varying payment timelines that complicate period-wise matching.
Manual Reconciliation Works When
- You have a very small number of orders (under 20-30 per month).
- You sell on a single marketplace.
- You are doing a one-time or occasional check rather than regular reconciliation.
- You prefer full control over the matching logic and output format.
- You have spreadsheet expertise and enjoy the manual process.
Automated Reconciliation Helps When
- You process regular order volumes across marketplaces.
- You sell on multiple marketplaces and want unified reconciliation.
- You need to identify missing payments or discrepancies quickly.
- You want consistent, repeatable reconciliation across billing periods.
- You want to spend less time on data matching and more time on business decisions.
Automate Your Settlement Reconciliation
Download EcomPL free and import your marketplace files to see automated reconciliation in action. Compare the results with your manual process.