Reconcile FBA Refunds and Reimbursements to Recover Lost Revenue
When Amazon's fulfillment network damages, loses, or fails to return customer-returned inventory, the seller is entitled to reimbursement — but Amazon does not automatically reimburse every qualifying event. Sellers must cross-reference three separate reports to identify gaps: the Orders Report, the Refunds Report, and the Reimbursements Report. The join challenge: these reports use inconsistent key columns. The Orders Report uses order-id, the Settlement Report uses amazon-order-id, and the Reimbursements Report uses amazon_order_id (underscore instead of hyphen). Excel VLOOKUP on 200,000+ row datasets with mismatched column names routinely freezes with 'Not Responding' and produces #N/A errors. Worse, if Excel interprets numeric order IDs as numbers, it drops leading zeros — an order ID 001-2345678-9012345 becomes 1-2345678-9012345, breaking every join. This workflow performs SQL-based LEFT JOINs locally via DuckDB-Wasm, normalizing all order ID columns to consistent string format before reconciliation.
Why this matters?
A supplement brand doing $4.2M annual FBA revenue ran quarterly reimbursement audits manually in Excel. Their reconciliation process VLOOKUP'd the Refunds Report against the Reimbursements Report using amazon-order-id, but 23% of reimbursements used a different amazon_order_id format (underscores vs hyphens) that VLOOKUP failed to match — showing as #N/A. The team assumed these #N/A rows were reimbursements that simply couldn't be matched and excluded them from their FBA reimbursement case submissions. Over 4 quarters, they missed filing claims for 2,847 damaged units and 1,203 lost units totaling $89,400 in unclaimed reimbursements. When they switched to SQL-based joins with normalized order ID formatting, they recovered $34,200 in the first month alone.
The 3-Step Solution
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