Building a Scalable AI E-commerce Tracker with n8n and Vector DBs

I recently built a scalable AI e-commerce tracker using n8n, Vector DBs, and Webhooks. The goal was to create a system that could handle 800+ monthly updates on our AWS Mumbai server without breaking a sweat.

The system connects directly to our Shipmozo/BigShip accounts, triggering an automated update via WhatsApp the moment a status changes (Dispatched, Out for Delivery, Delivered). We’ve optimized the workflow to minimize latency and ensure seamless updates.

The tech stack includes:

  • n8n for workflow automation
  • Vector DBs for real-time data storage and retrieval
  • Webhooks for instant updates

Check out the ShahiRaj blog for more insights into our e-commerce automation solutions.

This post is part of our Developer Log, where we share technical expertise and behind-the-scenes stories.

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