Build an AI Shopify Agent with LiveKit, Bithuman, & MCP (Real-Time Shopify Integration)

In this tutorial, I walk you through EcomAgent, an AI-powered voice customer service agent that connects directly to a real e-commerce store and answers product questions through natural conversation. Unlike basic chatbots, this project shows how to integrate voice AI, real-time product search, and a 3D avatar into a fully functional customer service system.

What You Will See in This Video

Real-time voice-to-voice interaction with AI (Deepgram STT and OpenAI TTS)

Shopify product search via MCP and Zapier tools

3D avatar presence with BitHuman

LiveKit integration for professional-grade voice communication

End-to-end customer service workflow demo

Tech Stack

LiveKit Agents: voice AI framework

GPT-4o: natural conversation

MCP Protocol: universal tool integration

Zapier MCP Server: external service connector

Next.js: frontend

BitHuman: 3D avatar rendering

Deepgram: speech-to-text

OpenAI TTS: voice synthesis

Real-World Application

Built for GymFit Apparel, this AI agent can instantly answer questions like:
"Do you have blue workout leggings?"
"What is the price of running shoes?"

It searches the actual Shopify inventory and responds with live, accurate product information just like a real customer service rep.

GitHub Repo

https://github.com/jb-akp/AI_Ecom_Agent.git

Get API Keys

OpenAI: https://platform.openai.com/

Deepgram: https://deepgram.com/

Zapier MCP: https://nexus.zapier.com/mcp

BitHuman: https://bithuman.ai/

LiveKit: https://livekit.io/

Why This Matters

This is not just another AI demo. EcomAgent shows the future of AI-powered commerce:
✔ Real-time data access
✔ Seamless integration with business tools
✔ Natural, human-like voice interaction
✔ Scalable architecture for any store or service