Just finished building an 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝐏𝐨𝐬𝐭-𝐏𝐮𝐫𝐜𝐡𝐚𝐬𝐞 𝐀𝐝𝐝𝐫𝐞𝐬𝐬 𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦 for eCommerce. A surprising number of shipping issues start with incomplete or inaccurate customer addresses. Instead of letting bad orders reach the warehouse, this workflow validates every shipping address immediately after payment and decides whether the order is ready for fulfillment or needs manual review. I built this workflow using the Shopify API, but the workflow architecture can be adapted to virtually any eCommerce platform. My goal is to make the concepts and implementation accessible so anyone can learn from them and build their own version. 𝐖𝐡𝐚𝐭 𝐢𝐭 𝐝𝐨𝐞𝐬:  • Triggers automatically when a Shopify order is paid.  • Validates shipping addresses using the Google Maps Address Validation API.  • Assigns a confidence score and validation status.  • Stores validation logs and address history in PostgreSQL.  • Routes valid orders directly to the warehouse.  • Sends Slack alerts for orders requiring manual review.  • Provides a centralized dashboard for tracking validation results. Built using n8n, Shopify, Google Maps API, PostgreSQL, Slack, and Docker on a self-hosted VPS. One part I particularly enjoyed building was the decision logic. Not every address should be handled the same way—some can be corrected automatically, while others genuinely require human review. Finding the right balance between automation and manual intervention makes the workflow far more reliable.