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Danil Molodkin
CSV & JSON Cleanup with QA
SKU case matters: AB-10 and ab-10 are different catalog keys.
Problem: Case-sensitive product codes can look similar while identifying different products. Normalizing their case would merge distinct keys.
Input: two small JSON catalog exports. The master has three products; the...
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.
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...
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.
Two prices for one SKU? Stop the update before choosing the wrong one.
Problem: A supplier export listed the same SKU twice with different prices. Guessing which row wins could silently change the wrong amount.
Input: two small JSON catalog exports. The master has three products;...
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.
Clearer English, with a visible edit trail.
Problem: business text can be grammatically understandable but unnecessarily heavy. Editing should make it easier to read while preserving the meaning and conditions.
Here are three actual before-and-after examples from a saved...
contra.com
Text Proofreading & Editing | Verified Language Modes by Danil Molodkin
Read more about Text Proofreading & Editing | Verified Language Modes by Danil Molodkin on Contra.
