✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-05
Dropshipping businesses source products from multiple suppliers, each with their own category structure. A phone case might be listed under "Phone Accessories", "Mobile Cases", "Cell Phone Covers", or "Smartphone Protection" depending on the supplier. dataclean.to normalizes these categories so your store presents a consistent browsing experience regardless of the supplier source.
The Problem
Dropshippers import product feeds from AliExpress, CJ Dropshipping, Spocket, and other platforms. Each supplier uses different category hierarchies and naming conventions. Without normalization, your storefront ends up with fragmented categories that confuse shoppers and make inventory management across suppliers nearly impossible. Google Merchant Center product data specification
How to Fix It
1
Upload your supplier product feeds
Export product data from your suppliers to CSV. Include columns for supplier category, product type, niche category, and any tags used for store organization.
2
Identify category columns
The tool detects categorical columns across your supplier data. Select the product category, type, and tag columns that need standardization.
3
Review cross-supplier category mappings
dataclean.to groups similar categories from different suppliers. "Women's Clothing", "Ladies Apparel", "Women Fashion", and "Female Clothes" would be clustered together.
4
Map to your store categories
Customize the normalized labels to match your Shopify, WooCommerce, or other platform's category structure. This creates a clean mapping from supplier categories to store categories.
5
Export unified product data
Download the cleaned CSV with consistent categories for import into your store. All products from all suppliers will use the same category taxonomy.
Frequently Asked Questions
Can it merge categories from multiple supplier feeds?
Yes. Upload a combined CSV with products from all suppliers. The tool normalizes categories regardless of source, creating a unified taxonomy across your entire catalog.
Does it handle translated category names?
Many supplier feeds include machine-translated categories. The tool recognizes common translation artifacts and groups them with their English equivalents or your preferred language labels.
Can I map to Google Product Category?
You can customize the normalized labels to match Google's product taxonomy, making it easier to create compliant Google Shopping feeds from your cleaned data.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.