Automated Product Inquiry Responder with GPT-4 and Google Sheets

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Built by Dmytro Dmytro
Created on June 07, 2026

Description

AI-Powered Product Assistant for E-commerce

Transform your online store customer service with an intelligent AI assistant that automatically processes customer inquiries, searches your product database, and provides personalized responses about product availability, pricing, and specifications. Perfect for shoe stores, fashion retailers, and any business with extensive product catalogs - this workflow eliminates manual customer service while increasing response speed and accuracy.

How it works
Customer sends product inquiry via webhook (Instagram DM, website chat, or messaging app)
AI extracts key product details (brand, model, size, color) from natural language text
System searches your Google Sheets product database with smart filtering
AI generates friendly, personalized response with availability, pricing, and stock information
Automatic response sent back to customer with product details or alternatives

Screenshots:
Customer inquiry: "Do you have Nike Air Max 40 size?"
AI response: "Nike Air Max 90, size 40 - in stock 3 pieces, price 120$"

Set up steps
Prepare your product database - Create Google Sheets with columns: Brand, Model, Size, Color, Price, Quantity
Configure AI settings - Connect OpenAI API for natural language processing
Set up webhook endpoint - Configure trigger for your messaging platform (Instagram, Telegram, website chat)
Test with sample inquiries - Verify AI correctly parses requests and finds products
Deploy and monitor - Launch your automated assistant and track performance

Time investment: 30-45 minutes setup, works immediately with any product catalog up to 1000+ items.

Nodes Used (4)

Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm
Code
n8n-nodes-base.code
Google Sheets
n8n-nodes-base.googleSheets
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi