How a Large FMCG Brand Recovered ₹41.2L in 90 Days Through Full Account Reconciliation
- Category: FMCG / Grocery
- Monthly Amazon Revenue: ₹11.4 Cr
- Number of SKUs: 326
- Fulfillment Model: FBA + FBM Hybrid
- Monthly Order Volume: ~58,000 Orders
Problem
The brand had been selling on Amazon for over four years and was shipping inventory to multiple fulfillment centers across India.
Due to the scale of operations, the team relied heavily on Amazon’s internal reconciliation processes and had never conducted a comprehensive historical audit of inventory and financial transactions.
Over time, discrepancies accumulated across several operational areas including:
- Lost and damaged FBA inventory
- Shipment receiving shortages
- Refunds issued without returns
- Incorrect return processing
- Removal order discrepancies
These leakages were spread across thousands of transactions, making manual audits impractical.
Discovery
Good Reco conducted a full historical audit across 18 months of Seller Central data.
The system analyzed multiple datasets including:
- FBA Inventory Adjustment Reports
- Inbound Shipment Reconciliation Reports
- Refund and Return Transactions
- Removal Order Reports
- FBA Inventory Event Detail Logs
The system identified multiple unreimbursed events across 1,300+ units and 72 operational discrepancies.
Action Taken
Good Reco generated structured reimbursement files including:
- ASIN-level reconciliation
- shipment-level discrepancy mapping
- refund-return mismatches
- removal order reconciliation reports
Claims were systematically submitted across multiple reimbursement categories.
Results
Total Amount Recovered: ₹41,23,800
Claims Filed: 72
Approval Rate: 91%
Time to Recovery: 90 Days
Breakdown of Recovery:
| Recovery Type | Amount |
| Lost / Damaged Inventory | ₹12.6L |
| Inbound Shipment Discrepancies | ₹10.3L |
| Refund Without Return | ₹8.9L |
| Return Processing Errors | ₹5.4L |
| Removal Order Errors | ₹4.0L |
Key Takeaway
Most high-volume Amazon sellers accumulate significant unrecovered operational losses over time simply because reconciliation across millions of transactions is extremely complex without automation.