Gorka Etxebarria
Arratz | E-commerce catalog & spreadsheet cleanup
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Synthetic catalog preflight demo — not client work.
Arratz uses AI-assisted development and deterministic checks to make catalog changes traceable. This local 12-row example flags 9 rows with errors and proposes only 2 formatting changes. Duplicate IDs remain preserved; ambiguous prices and missing identifiers are never invented.
The 11-test safeguard suite passed again on 22 September 2026. These are limited local checks, not a Google submission, acceptance guarantee or client result. Source files, before/after changes and unresolved exceptions remain separate.
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Sales reporting with traceable totals. Aggregate order lines by product, calculate sales value and reconcile the report to source records. Deliverables: reusable calculation script, product summary and reconciliation checks. Illustrated with example data.
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Inventory reconciliation. Match catalog records to stock by SKU, separate missing records from zero stock and identify stock-only items. Deliverables: joined data and an exception list for review. Illustrated with example data.
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Data cleanup and normalization. Consistent text and status values, duplicate IDs flagged for review, and original records preserved. Deliverables: cleaned data, exception list and change log. Illustrated with example data.
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