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Configure Enrichment Job

Pick taxonomy, upload schema, then upload SKU file. The next step lets you map columns.

① Taxonomy Level
🏭
Level 1
Category-level
🔩
Level 2
Sub-category
🎯
Level 3
Full parametric
② Attribute Schema File
📋
Drop schema XLSX or click
Optional in demo
③ SKU File
📊
Drop SKU XLSX or click
Up to 50MB
✓ Taxonomy ✓ Schema ✓ SKU file uploaded ● Column mapping Enrichment

Map your columns

Auto-detected from your file. Adjust mappings if needed.

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Your column
CatalogWiz field
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Required fields not mapped:
    ✓ Taxonomy ✓ Schema ✓ SKU file uploaded ✓ Column mapping ● Pre-scrape review Enrichment

    Pre-scrape review

    Scrape all sources, review the extracted text, then approve before enrichment.

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    Click "Scrape all sources" to begin.
    Source
    Edit the scraped text. This will be saved as your manual version — Gemma will use this instead of the original.
    Change the URL. Saving will re-scrape from the new URL.
    ✓ Taxonomy ✓ Schema ✓ SKU file uploaded ✓ Column mapping ● Context check Pre-scrape Enrichment

    Context check

    Before enrichment runs, every taxonomy in your SKU file must have a matching context file. Context files teach Gemma what each attribute means and how to extract it.

    Unique taxonomies
    With context
    Missing
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    Context Library

    Per-taxonomy enrichment context files. Pre-built, manual upload, or generated via Claude.

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    Context file

    Generate context via Claude

    Claude reads your attribute schema + sample SKUs and writes a custom MD context file.

    Claude will read up to 5 sample SKUs from this taxonomy in the current job, plus the attribute names, and generate a context file matching your template format.
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