Remove Internal Cost and Supplier Columns from Product Catalog Excel Exports
E-commerce managers exporting product catalogs from their PIM or ERP face a consistent problem: the export includes internal cost columns, supplier identifiers, and margin data that must never reach an agency, marketplace feed, or external merchandiser. Editing a 5,000-row catalog in Excel to delete those columns manually is slow and carries real risk of accidental exposure. Deliteful removes named columns from every sheet in the workbook in a single step.
Product catalog files shared externally — with a creative agency building a lookbook, a marketplace requiring a feed, or a dropship partner — need a different column set than what your internal system produces. The internal export might include cost_price, supplier_id, warehouse_location, and internal_sku alongside the fields the partner actually needs. This column gap is usually bridged by manually opening the file and deleting columns, a process that scales poorly as catalog size grows.
Deliteful lets you specify the headers to remove once and handles the deletion across every worksheet. For catalogs exported with a summary tab and a detail tab, both are cleaned in the same pass. The output retains the original column order for all remaining fields, so downstream systems or partners receiving the file see a consistent structure.
How it works
- 1
Export your catalog from your PIM or ERP
Download the full .xlsx catalog export including all internal fields.
- 2
List the columns to strip
Identify headers like cost_price, supplier_id, margin_pct, internal_sku and enter them comma-separated.
- 3
Upload and process
Upload to Deliteful, submit, and the tool removes those columns from all sheets in the workbook.
- 4
Share the external-ready file
Download the cleaned catalog and send it to your agency, marketplace, or partner.
Frequently asked questions
- Can I process a catalog file with thousands of rows?
- Yes. The tool removes columns regardless of row count — it operates on the column structure, not row data, so file size is the only practical constraint.
- Will this work on files exported from Shopify, BigCommerce, or similar platforms?
- Yes, as long as the export is in .xlsx or .xls format. The tool works on any Excel file with named column headers.
- Does column removal affect data in other columns?
- No. Only the specified columns are removed. All other columns, their values, and their order remain exactly as in the source file.
- Can I remove the cost_price column without affecting the retail_price column?
- Yes. Each column is matched and removed individually by exact header name. Removing cost_price has no effect on retail_price or any other column.
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