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Product Catalog Cleanup with a Review Queue
An original, AI-assisted Python demonstration that cleans a synthetic product catalog while preserving ambiguous data for review. It standardizes explicitly stated dimensions, retains product variants, and flags missing specifications or conflicting currencies rather than guessing.
The fixture contains 32 records: 30 retained, two exact duplicates removed and 16 requiring review. Nineteen checks passed. Outputs include cleaned JSON, exceptions, an audit trail and a comparison report.
Personal demonstration work, not a customer catalog or a verified marketplace import.
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