Automate customer support with multilingual chatbot using GPT-5 Nano for eCommerce

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Important notice

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

1. Workflow Overview

This workflow creates a multilingual eCommerce chatbot that automatically detects the customer’s language and provides tailored responses. It is designed for online shops to improve customer suppor...

Best for

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

Tools used

@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.splitout, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.set, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.agent

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Automate customer support with multilingual chatbot using GPT-5 Nano for eCommerce
Workflow name: Automate customer support with multilingual chatbot using GPT-5 Nano for eCommerce

This workflow creates a multilingual eCommerce chatbot that automatically detects the customer’s language and provides tailored responses. It is designed for online shops to improve customer support in English, Spanish, and French.

The chatbot is powered by OpenAI’s GPT-5 Nano and runs entirely inside n8n, with built-in memory to keep conversations contextual and helpful.

🔑 Key Features

Language Detection: Identifies customer language automatically (English, Spanish, or French).
Localized Responses: Uses pre-defined system prompts for each language.
Customer Support Ready: Handles product questions, order tracking, returns, and general inquiries.
Human Handoff: If details are missing, it guides the user to contact human support.
Conversation Memory: Tracks sessions for smoother, contextual replies.

⚙️ Setup Instructions

1️⃣ Set Up OpenAI Connection

Get API Key

Go to OpenAI Platform
Go to OpenAI Billing
Add funds to your billing account
Copy your API key into the OpenAI credentials in n8n

2️⃣ Configure Your Languages & Prompts

Open the Set Node named Ecommerce Language Prompts.
Update or expand the list of languages and their system prompts.
Example already includes:
- English
- Spanish
- French

That’s it! Your chatbot is ready to run 🎉

📬 Contact Information

Need help customizing this workflow or building similar automations?

📧 Email: [email protected]
🔗 LinkedIn: Robert Breen
🌐 Website: ynteractive.com

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 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.3

Block 2 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 3 - OpenAI Chat Model

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

Block 4 - Split Out

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

Block 5 - OpenAI Chat Model2

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

Block 6 - Simple Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 7 - Ecommerce Language Prompts

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 8 - Keep Only Selected Language

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 9 - Detect Language

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 10 - Chat Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 11 - Sticky Note7

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

Block 12 - Sticky Note8

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

Block 13 - Sticky Note12

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

3. Summary Table

Workflow	Automate customer support with multilingual chatbot using GPT-5 Nano for eCommerce
Complexity	intermediate
Nodes	13
Categories	AI Chatbot, Multimodal AI
Author	Robert Breen
Published	19 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7590/7590.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 AI Chatbot workflows Multimodal AI workflows

Frequently asked questions

What does Automate customer support with multilingual chatbot using GPT-5 Nano for eCommerce 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 AI Chatbot, Multimodal AI use case.

Robert Breen

90 workflows

Nodes

@n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.outputparserstructured @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.splitout @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.set n8n-nodes-base.merge @n8n/n8n-nodes-langchain.agent

Complexity

intermediate

Published 19 Aug 2025

Likes 0

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Install path: /data/workflows/7590/7590.json

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Automate customer support with multilingual chatbot using GPT-5 Nano for eCommerce

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

🔑 Key Features

⚙️ Setup Instructions

1️⃣ Set Up OpenAI Connection

Get API Key

2️⃣ Configure Your Languages & Prompts

📬 Contact Information

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When chat message received

Block 2 - Structured Output Parser

Block 3 - OpenAI Chat Model

Block 4 - Split Out

Block 5 - OpenAI Chat Model2

Block 6 - Simple Memory

Block 7 - Ecommerce Language Prompts

Block 8 - Keep Only Selected Language

Block 9 - Detect Language

Block 10 - Chat Agent

Block 11 - Sticky Note7

Block 12 - Sticky Note8

Block 13 - Sticky Note12

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