If you sell on Amazon FBA, Shopify, or WooCommerce, you know the pain.

Your supplier sends a PDF invoice with 50+ line items. Now you have to manually match those SKUs in your inventory system, update quantities, and adjust costs. One typo in the SKU means a shipping error later.

I used to spend 4 hours a week just updating stock from supplier invoices. Here is how I set up an auto-import workflow to fix this.

The Problem

Most inventory management tools (Stocky, TradeGecko, etc.) expect a clean CSV upload. But suppliers send messy PDFs.

The Solution (Workflow)

I built a pipeline that eliminates manual data entry:

  1. Trigger: Supplier emails the PDF invoice to a dedicated inbox.
  2. Extraction: An automation tool (I use ParserData) grabs the attachment. It identifies the “SKU”, “Description”, “Quantity”, and “Unit Cost” columns automatically using AI models trained on invoices.
  3. Validation: The system checks if the SKU exists in my Shopify database.
  4. Action: The data is pushed directly to Shopify (via API) or saved as a formatted CSV ready for one-click import.

Results

  • Time saved: ~15 hours/month.
  • Accuracy: 100% (No more fat-finger errors on pricing).

If you are scaling your store, stop typing SKUs. Let the AI handle the paperwork.