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Are there unexplained discrepancies in your Amazon settlements?

Amazon processes millions of transactions daily, and errors happen โ€” missing reimbursements, double-counted fees, or settlement adjustments with no matching order. This query flags the discrepancies automatically.

๐Ÿ“Š Amazon Seller Central๐Ÿ‘ฅ Amazon sellers and eCommerce accountants๐Ÿ”ค Plain-English โ†’ SQL

This is part of the Taptic Data Amazon query library. Explore related queries: SQL query for Amazon return rate by SKU, SQL query for Amazon net margin after FBA fees, SQL query for Amazon buy box percentage by ASIN, and more.

Show me settlement transactions that have no matching order or financial event in the last 90 days
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Amazon Settlement Discrepancy Detection โ€” generated by Taptic Data AI
SELECT
  s.settlement_id,
  s.transaction_type,
  s.amount_type,
  ROUND(s.amount::numeric, 2)                       AS settlement_amount,
  s.posted_date::date                                AS posted_date,
  s.sku,
  CASE
    WHEN o.amazon_order_id IS NOT NULL THEN 'Matched'
    WHEN fe.seller_order_id IS NOT NULL THEN 'Fee match only'
    ELSE 'Unmatched'
  END                                                AS match_status
FROM amazon_settlement s
LEFT JOIN amazon_orders o
  ON o.amazon_order_id = s.order_id
  AND o.order_status NOT IN ('Canceled', 'Cancelled')
LEFT JOIN amazon_financial_events fe
  ON fe.seller_order_id = s.order_id
WHERE s.posted_date::date >= CURRENT_DATE - INTERVAL '90 days'
  AND o.amazon_order_id IS NULL
  AND fe.seller_order_id IS NULL
  AND ABS(s.amount) > 1
ORDER BY ABS(s.amount) DESC
LIMIT 50
Schema-aware SQL generated from plain English24 lines

This query was generated by Taptic Data from plain English against a real Amazon Seller Central schema. In Taptic, you type the question โ€” the AI writes the SQL, runs it, and returns the result. You can edit the SQL, ask for explanations, and save it as a refreshable report.

Breaking it down line by line

  1. Left-joins settlement rows to both orders and financial_events to find matches on order_id
  2. The WHERE clause filters to settlement rows with no match in either table โ€” these are the discrepancies
  3. ABS(amount) > 1 filters out penny-level rounding noise
  4. Results sorted by absolute amount descending so the largest unexplained items appear first
  5. The match_status CASE expression categorizes each row for quick triage

Result description

A list of settlement transactions with no matching order or financial event, ranked by amount โ€” your shortlist of items to investigate with Amazon Seller Support.

The business impact

Amazon sellers lose thousands of dollars per year to settlement errors they never notice. Unexplained adjustments, missing reimbursements, and fee miscalculations compound over time. Running this query after every settlement period catches problems while they are still recoverable.

Common questions

How do I generate a "Amazon Settlement Discrepancy Detection" query automatically?
In Taptic Data, type "Show me settlement transactions that have no matching order or financial event in the last 90 days" and the AI generates schema-aware SQL against your real Amazon Seller Central data โ€” no manual writing required.
What database does this query work with?
This query is designed for Amazon Seller Central. Taptic reads your live schema so the generated SQL always matches your actual table and column names.
Can I edit the generated SQL?
Yes. Taptic shows you the exact SQL it generated. You can edit it directly, ask the AI to explain any line, or request a revision in plain English.
Can I save this as a scheduled report?
Yes. Once you run this query in Taptic, you can save it as a report, add charts and KPIs, and schedule it to email your team on any cadence โ€” daily, weekly, or monthly.

Skip the SQL. Ask the question.

In Taptic Data, you type "Show me settlement transactions that have no matching order ..." and this SQL runs automatically against your real Amazon Seller Central data.

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