Automated product inquiry responder with GPT-4 and Google Sheets

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 data...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.stickynote, n8n-nodes-base.webhook, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.code, n8n-nodes-base.googlesheets, n8n-nodes-base.respondtowebhook

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Dmytro.

Original n8n.io source

1.1 Workflow description

Title: Automated product inquiry responder with GPT-4 and Google Sheets
Workflow name: Automated product inquiry responder with GPT-4 and Google Sheets

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.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 2 - OpenAI Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 3 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Receive Request

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 5 - Parse Request AI

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 6 - Extract Data

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 7 - Product Database

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 8 - Filter Products

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 9 - AI Manager

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 10 - Send Response

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.3

3. Summary Table

Workflow	Automated product inquiry responder with GPT-4 and Google Sheets
Complexity	intermediate
Nodes	10
Categories	Support Chatbot, AI Chatbot
Author	Dmytro
Published	09 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5809/5809.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does Automated product inquiry responder with GPT-4 and Google Sheets do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.

Dmytro

1 workflow

Nodes

@n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.stickynote n8n-nodes-base.webhook @n8n/n8n-nodes-langchain.chainllm n8n-nodes-base.code n8n-nodes-base.googlesheets n8n-nodes-base.respondtowebhook

Complexity

intermediate

Published 09 Jul 2025

Likes 0

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Install path: /data/workflows/5809/5809.json

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Automated product inquiry responder with GPT-4 and Google Sheets

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

AI-Powered Product Assistant for E-commerce

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - OpenAI Chat Model

Block 2 - OpenAI Chat Model1

Block 3 - Sticky Note

Block 4 - Receive Request

Block 5 - Parse Request AI

Block 6 - Extract Data

Block 7 - Product Database

Block 8 - Filter Products

Block 9 - AI Manager

Block 10 - Send Response

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions