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Bulk operations

Why this matters for your business​

Spreadsheet-based catalog management is a productivity killer. CSVs corrupt, encoding breaks, undos are impossible, errors silently propagate. Most stores avoid bulk operations because the risk of a botched import is higher than the time savings.

Bulk operations on this platform give you the speed of bulk work with the safety of single-edit operations. CSV import with validation. Batch edit with preview. Field-level regeneration ("regenerate descriptions for all 200 products in this category"). 7-day undo window — try a bulk operation, review, undo if wrong.

What this typically unlocks​

OutcomeResult
Time per 100-product update15 min vs. 5+ hours
Bulk-operation mistakes that sticknear 0 with 7d undo
Catalog refreshes per quarter5× typical

What you actually get​

OperationDescription
CSV importValidation + dry-run preview + apply
Bulk generateRun product pipeline on 100s at once
Batch editUpdate field across N products (price, tag, category)
Field-level regenerate"Regenerate alt text for all images in collection X"
CSV exportFull catalog or filtered subset
7-day undoReverse any bulk operation within 7 days
Validation rulesCatch errors before applying (missing required, invalid GTIN, etc.)

Real merchant scenarios​

Scenario A — Brand updates pricing across 800 SKUs​

Setup. Brand needed 5% across-the-board price increase.

Manual: 800 × ~30s in Shopify = ~7 hours.

With bulk: Filter all products → batch-edit price field × 1.05 → preview → apply. 15 minutes.

7-day undo set; if anything went wrong, reversible.

Scenario B — Migrating from competitor​

Setup. Brand migrating 1,200 products from competitor's platform via CSV.

Process:

  1. Export competitor CSV
  2. Map columns (auto-mapper does ~80%; manual map remaining)
  3. Validate (system flags missing required fields per SKU)
  4. Dry-run preview (see first 10 SKUs as they'd appear in Shopify)
  5. Apply

Time: ~3 hours total. Errors caught at validation: 47 SKUs needed manual review (missing GTIN, image URL broken, etc.).

Scenario C — Field-level regeneration​

Setup. Brand had 300 products with weak alt text (generic "product image"). Wanted to regenerate.

With field-level regenerate: Selected 300 products → regenerate "alt text" field → AI re-generates considering each product's image + title.

Result: 300 alt texts regenerated in 8 minutes. SEO score per product up significantly.

Best practices​

✅ Always dry-run before applying bulk changes. Preview catches typos.

✅ Set 7-day undo window. Free safety net.

✅ Filter before bulk editing. "Edit all" is rarely what you want; "edit all in collection X" is.

❌ Don't skip validation. Errors silently propagate.

❌ Don't bulk-edit prices without floor protection. A typo can give away the catalog.

Plan tiers​

CapabilityFreeStarterProAgencyEnterprise
CSV import + export✓ (50/mo)✓✓✓✓
Bulk generate (pipeline)—✓ (100/mo)✓✓✓
Batch edit—✓✓✓✓
Field-level regenerate——✓✓✓
7-day undo✓✓✓✓✓
Custom validation rules——✓✓✓
Multi-shop bulk operations———✓✓

See also​