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Shopify Automation: How I Managed an...

Manually managing an e-commerce catalog with 80,000 products, 11 different suppliers, and 5 languages is not just inefficient — it's a direct risk to your business margins. Each supplier sends price lists in different formats (.csv, .xlsx) with inconsistently named columns, making it practically impossible to keep prices, wholesale costs, and stock availability updated by hand. To solve this, I built a Python and Pandas workflow based on three technical pillars: backup management, dynamic price
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