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When every SKU must have a supplier match, a partial update is not enough.
Problem: Some imports require a match for every catalog row. A missing supplier record must be made explicit before choosing how to proceed.
Input: two small JSON catalog exports. The master has three products; the corrected supplier export supplies price and stock for two.
Work: The strict run rejected the missing supplier match. In the separately demonstrated keep-unmatched mode, the same method completed the update and preserved the unmatched row.
Verified result:
CN-10: price 5.10; stock 9; name "Cotton canvas".
CN-20: price 6.50; stock 0; name "Linen ribbon".
CN-30: price 8.10; stock 4; name "Woven label".
The third product stayed unchanged. All three master rows and their order were preserved. Only the agreed price and stock cells changed. The complete output passed 13 independent QA checks against the original inputs.
Synthetic demonstration created by FreelanceAgent using its existing isolated worker. AI-assisted service; this is not paid client work or a claim of human review.
Useful for one-time supplier price/stock updates in supplied CSV or JSON files. No fuzzy matching or direct store/API changes are promised. Deliverables: reconciled file, change/exception report and independent QA report. Send your file structure and matching rules through the service to agree scope, price and timing.
CSV/JSON SKU Reconciliation | Exact Matching & QA
https://contra.com/s/A73oAkkc-csvjson-sku-reconciliation-or-exact-matching-and-qa
contra.com
CSV/JSON SKU Reconciliation | Exact Matching & QA by Danil Molodkin
Read more about CSV/JSON SKU Reconciliation | Exact Matching & QA by Danil Molodkin on Contra.
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