Build an AI E-Commerce Chatbot with n8n
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 41m | Size: 450.41 MB
A real, reusable AI agent pattern you can adapt for any customer support use case - not just e-commerce.

[h2]What you'll learn[/h2]
How an AI Agent is structured in n8n - the role of the trigger, model, memory, and tools, and how they work together
How to connect a document source (Google Docs) so the AI Agent can pull policy/FAQ answers accurately instead of hallucinating them
How to customize a chat widget's UI/branding with CSS so it matches a business's identity instead of looking generic
A transferable pattern for building AI support agents that applies beyond e-commerce - to any business with repetitive customer questions
How to connect an AI Agent to a live data source (Google Sheets) so it can answer real-time, account-specific questions instead of generic one
How to write a system prompt that keeps an AI Agent on-task and handles ambiguous or off-topic user questions gracefully
How to secure a chatbot for production - locking down origins, managing credentials safely, and handling errors before going live
[h2]Requirements[/h2]
An n8n account (cloud or self-hosted)
A Gemini API key (free tier works for this course)
Not need but would be handy if you are to follow along - Basic familiarity with n8n's canvas - dragging/connecting nodes (no coding required)
Not need but would be handy if you are to follow along - Google account (for Sheets + Docs integration used as the bot's data sources)
[h2]Description[/h2]
If you've ever wanted to build a real, working AI chatbot - not a toy demo, but something you could actually put in front of paying customers - this course walks you through the entire process using n8n, one of the fastest-growing automation platforms available today.
You'll start by understanding the anatomy of an AI Agent inside n8n: how the trigger, the model, memory, and tools work together to create a chatbot that actually understands context instead of just responding to isolated messages. From there, you'll connect your agent to two real data sources - Google Sheets for live order lookups, and Google Docs for policy and FAQ answers - so your chatbot pulls accurate, business-specific information instead of generic AI responses.
You'll also learn how to write a system prompt that keeps your agent focused and able to gracefully handle ambiguous or off-topic questions, a skill that separates amateur chatbot builds from production-ready ones. Once the logic is working, you'll style the chat widget itself with custom CSS so it matches your brand rather than looking like a stock demo.
Finally, you'll take the bot to production: locking down origins, managing credentials securely, and putting proper error handling in place before real users interact with it.
This isn't an e-commerce-only tutorial - the pattern you build here applies to any business fielding repetitive customer questions: SaaS support, service bookings, internal helpdesks, and more. No coding experience is required, just basic familiarity with connecting nodes in n8n.
[h2]Who this course is for[/h2]
Developers or business owners who want to add an AI support chatbot to their site without hiring a dev team
No-code/low-code builders who already have basic n8n familiarity and want a real production-grade project
Anyone running an e-commerce or service business who fields repetitive order-status and policy questions
[h2]Homepage[/h2]

https://www.udemy.com/course/build-an-ai-e-commerce-chatbot-with-n8n/

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