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RB - Collections for Clearance

Develop by Shopify
Free plan available

Manage and create collections for aged inventory.

Automated collections
Bulk price reductions
Age-based filtering
Dead stock identification

About RB - Collections for Clearance

Launched Jun 16, 2024

Categories

Built by Shopify

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Description

Clearance collections old stock. Manage and analyse your old and stagnant inventory.

Rusty Bucket is your solution for managing old and dead inventory on your store. Create collections of products based on how long they have been on the store. Find out which products have been sitting stagnant in your inventory so you can discount, delete, donate or consign. Apply bulk actions such as price reductions or deactivations in order to strategically manage the life of these forgotten products. Minimise your losses and create a much more efficient shop.

Rusty Bucket is your solution for managing old and dead inventory on your store. Create collections of products based on how long they have been on the store. Find out which products have been sitting stagnant in your inventory so you can discount, delete, donate or consign. Apply bulk actions such as price reductions or deactivations in order to strategically manage the life of these forgotten products. Minimise your losses and create a much more efficient shop. more
  • Create automated collections from filtering by product age.
  • Bulk reduce the price of products automatically in order to clear old stock.
  • Know which products might be dead stock in order to remove, donate or consign.

Pros

  • Helps manage old and dead inventory efficiently
  • Allows creation of collections based on product age
  • Enables bulk actions like price reductions or deactivations
  • Minimizes losses from stagnant inventory
  • Improves shop efficiency by handling forgotten products strategically
  • Creates automated collections using product age filters
  • Facilitates knowing which products might be dead stock for removal, donation, or consignment

Cons

  • Potential for errors in automated processes
  • Complexity in set up for non-technical users
  • Limited customization options for bulk actions
  • Reliance on accurate product age data

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