A retailer migrated from QuickBooks POS to Shopify a year ago and discovered approximately 4,500 unused products were imported that have never generated sales. They identified these items using Report Pundit and now seek an efficient method to bulk delete them without causing data corruption.
Recommended approach:
Export the zero-sales product list from Report Pundit as CSV
Use third-party apps like Ablestar Bulk Product Editor or Matrixify for efficient bulk deletion (Shopify’s native admin limits deletions to 50 items at a time)
Matrixify requires only an identifier column (ID, Handle, SKU, or Barcode) plus a “Command” column with “DELETE” value
Important precautions:
Backup the entire product catalog via Settings > Store details > Export before proceeding
Test deletion on a small batch first to verify the process
Note that Shopify deletions are permanent with no “soft delete” recovery option
The discussion remains open with tutorial resources provided for implementing the solution.
Summarized with AI on November 1.
AI used: claude-sonnet-4-5-20250929.
I switched to Shopify about a year ago as a result of Quickbooks no longer supporting QB POS.
It was a confusing process and somewhere along the way over 4500 items were imported from my old system that were never used to sell products. I discovered them by running a report in Report Pundit now that I am more familiar with how everything works.
Is there a quick and easy way to find and purge all these items using a bulk edit?
I don’t immediately see a way to run a similar search in Shopify that identifies items that have never sold in a format that also allows me to move on to bulk edit.
Also, if I do find a way to do this is there any chance of data corruption by deleting so many items at once?
I totally get your situation—migrating from QB POS to Shopify can be a messy process, and it’s frustrating to have a bunch of unused products cluttering your inventory. Since you’ve identified these 4,500 items using Report Pundit, you now need an efficient way to remove them in bulk without risking data corruption.
Step 1: Identify and Export Unused Products
Since Shopify’s built-in reports don’t directly let you filter “never sold” items, your best bet is to use Report Pundit again to create a report listing all products with zero sales. Once you have that list, export it as a CSV file.
Step 2: Bulk Delete Products in Shopify
Unfortunately, Shopify doesn’t offer a built-in bulk delete feature in the admin panel for large datasets. However, you have two solid options:
Option 1: Use the Bulk Editor in Shopify Admin1. Go to Products > All Products in your Shopify admin.
Use the search bar to find the specific SKUs or product titles from your exported Report Pundit data.
Select all matching items, click More Actions > Delete Products (Shopify limits you to 50 at a time).
Option 2: Use a Bulk Product Management App
For faster deletion, install a Shopify app like:
Ablestar Bulk Product Editor
Matrixify (formerly Excelify)
Both allow you to delete thousands of products in one go using your CSV file.
Step 3: Prevent Data Corruption & Errors
Shopify doesn’t have a “soft delete” feature, so once an item is deleted, it’s gone. Before bulk deleting:
Backup your store: Go to Settings > Store details > Export to download a CSV of your products.
Test with a few products first: Try deleting a small batch before committing to all 4,500.
After deletion, clear cthe ache and check your store’s functionality to ensure no critical products were removed by mistake.
Let me know if you need any more details!
Best regards,
Daisy.
Matrixify can definitely help you delete your Products in bulk! We also offer a great tutorial on how you can do that. Generally you would just need a value to identify the Product you would like to delete (for example, ID, Handle, SKU, Barcode, Variant ID) and a “Command” column with the value DELETE.
The tutorial should be able to do a good job of guiding you through the process, however, please do not hesitate to reach out to our support if you have any questions or concerns, we would be happy to help!