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Mass actions

Operations and workflow managementIntermediate Level

Mass actions, or mass product actions, let you apply one change to many products at once instead of editing each product separately.

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What is Mass actions?

Mass actions, also called mass product actions or bulk actions, apply one change to many products at once. You filter or select a group of products and then set a value, add a category, translate content or resize images for the whole selection. Typical mass product actions are changing a brand name, setting a status, adding products to a category, filling an attribute or running AI enrichment on a product line. The difference with a bulk CSV import is where the change happens: an import overwrites data from a file, a mass action changes data inside the system based on your selection. Read more about bulk operations.

Why Mass actions matters for e-commerce

Catalogs grow faster than teams. A seasonal sale, a new supplier, a rebrand or a new channel can touch hundreds of products at the same time. Editing each one by hand takes days and creates inconsistencies. Mass actions make those changes in one step, so the catalog stays consistent and the team spends its time on content that needs a human eye.

Examples of Mass actions

  • 1Selection: all products of brand X, Action: set attribute, Value: Material = Organic cotton.
  • 2Selection: winter collection, Action: change status, Value: Archived.
  • 3Selection: products without a Dutch description, Action: AI translation, Value: English to Dutch.
  • 4Selection: all product images in a category, Action: Resize and Convert, Value: 1200 px, WebP.

How WISEPIM Helps

  • Bulk editing sets values, categories and statuses for a filtered selection of products.
  • Bulk Image Actions resize and convert images for many products in one run.
  • AI enrichment and AI translation run on a whole selection, with translation in 70+ languages.
  • Operation history undo lets you reverse a bulk change on paid plans.

Common mistakes with Mass actions

  • Running an action on the whole catalog when the filter was meant to narrow it down.
  • Overwriting values that were filled by hand with a generic value.
  • Skipping a test on a small selection before the full run.
  • Giving everyone on the team rights to run catalog-wide actions.

Tips for Mass actions

  • Save the filters you use often, so a selection is always the same.
  • Test a new action on ten products before running it on thousands.
  • Check which fields an action overwrites and which it leaves alone.
  • Use rules or templates for repeated changes instead of redoing them by hand.

Trends around Mass actions

  • AI actions, such as enrichment and translation, offered as mass actions.
  • Scheduled bulk changes through automations instead of manual runs.
  • Undo and history for bulk changes as a standard feature.
  • Mass actions started from a chat prompt instead of a menu.

Tools for Mass actions

  • WISEPIM: a PIM system with bulk editing, Bulk Image Actions and AI actions on selections.
  • Akeneo PIM: a PIM platform with mass edit options for products and attributes.
  • Shopify: a store platform with a bulk editor for products and inventory.
  • Magento 2 (Adobe Commerce): a store platform with mass update actions in the product grid.

Related Terms

Also Known As

Mass product actionsBulk actionsBulk editingBatch updates

Frequently Asked Questions

Mass product actions are changes you apply to a group of products in one step. You select products by filter or by hand, choose an action such as setting an attribute or changing a status, and the system applies it to every product in the selection.

A bulk import updates products from a file you prepare outside the system. A mass action changes data inside the system based on a selection. Imports suit large data loads from suppliers, mass actions suit quick changes to existing products.

That depends on the system. Some PIM systems keep a history of bulk changes and let you reverse them. In WISEPIM, Operation history undo is available on paid plans. Testing on a small selection first is still the safest habit.

Give catalog-wide actions to the people who own the product data, such as the product information team. Others can work on smaller selections. This limits the impact of a wrong filter.

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