Create An Intelligent E-Commerce Chatbot With Ai

Build an AI-powered e-commerce chatbot with GPT for pre-sales and post-sales support — no coding required.

What you'll learn

Build an AI chatbot for e-commerce to handle pre-sales questions and post-sales support like orders and issues

Use OpenAI GPT models to give natural, accurate, and customer-friendly answers that increase trust and engagement

Train your chatbot on your own data (catalog, FAQs, policies) to make it personalized and relevant to your store

Deploy a production-ready assistant that improves customer experience, reduces support workload, and drives sales

Requirements

No prior technical or coding experience required.

Description

Imagine having a smart assistant on your online store that can welcome visitors, guide them through your products, answer their questions, and even follow up after a purchase. That is exactly what you will learn to create in this course: an intelligent e-commerce chatbot powered by AI.This chatbot is more than a simple FAQ bot. It will help with pre-sales conversations, such as explaining product details or store policies, so customers feel confident before buying. It will also handle post-sales support, like tracking orders or assisting with technical issues, which saves you time and improves customer satisfaction.You will learn step by step how to design, build, and launch a chatbot that is available 24/7, provides personalized and accurate answers, and creates a professional experience for your customers. Along the way, we’ll focus on practical examples and real business use cases, so that by the end of the course, you’ll have a chatbot ready to integrate into your own store.By the end of this course, you will have a fully functional chatbot that can support your customers before and after their purchase, strengthen trust in your store, and help your business grow.Let’s get started and bring your intelligent e-commerce assistant to life!

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Discover and first installation

Lecture 2 Introduction

Lecture 3 Setup n8n

Lecture 4 First workflow

Lecture 5 Demo

Section 3: RAG setup

Lecture 6 Theory: discover LLM, RAG and tools

Lecture 7 Theory: discover vector database, embeddings and chunking

Lecture 8 Setup introduction

Lecture 9 Google Drive configuration

Lecture 10 Theory: Docling

Lecture 11 Docling installation

Lecture 12 HTTP node for Docling

Lecture 13 Vector database configuration

Lecture 14 Vector database node in n8n

Lecture 15 Final RAG setup

Section 4: Chatbot – Pre-sales capabilities

Lecture 16 Workflow and trigger node

Lecture 17 Agent node

Lecture 18 Agent memory

Lecture 19 System prompt

Lecture 20 Tools introduction

Lecture 21 Vector database integration

Lecture 22 Update system prompt

Lecture 23 Demo

Section 5: Chatbot – Post-sales (Orders tracking)

Lecture 24 Introduction

Lecture 25 Orders database setup

Lecture 26 Orders database node

Lecture 27 Update system prompt

Lecture 28 Demo

Section 6: Chatbot – Post-sales (Technical support)

Lecture 29 Introduction

Lecture 30 Setup ticketing tool

Lecture 31 Ticketing tool node

Lecture 32 Update system prompt

Lecture 33 Demo

Section 7: Chatbot in production

Lecture 34 Release your chatbot on a website

Lecture 35 Deployment and hosting options for n8n

Section 8: Conclusion

Lecture 36 Conclusion

Section 9: Setup of Credentials and API Keys

Lecture 37 Asana setup

Lecture 38 Google Drive setup

Lecture 39 OpenAI setup

Lecture 40 Pinecone setup

Lecture 41 Supabase setup

E-commerce entrepreneurs or store owners who want to add an AI chatbot for sales and support,Freelancers, marketers, or no-code builders who wish to build a chatbot without needing to code,Customer support managers seeking automation to reduce workload and speed response,Anyone wanting to leverage AI (OpenAI GPT) to improve personalization in online commerce