Automated WhatsApp Support Bot
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Streamline customer interactions with this automated WhatsApp Support Bot. It intelligently routes incoming text messages, identifies common queries, and can be extended to provide instant answers.
About This Workflow
This n8n workflow empowers businesses to efficiently manage customer inquiries received via WhatsApp. It automatically captures incoming messages, filters out non-textual content, and extracts key information such as the message body, sender's phone number, and message ID. The core intelligence lies in its keyword-based routing, which categorizes messages into predefined topics like 'Business Hours,' 'Pricing,' 'Location,' and 'Contact.' This allows for immediate segmentation of requests, enabling faster resolution and improved customer satisfaction by directing queries to the right resources or automated responses.
Key Features
- Real-time WhatsApp Ingestion: Automatically receives and processes incoming WhatsApp messages.
- Intelligent Text Filtering: Ensures only relevant text-based inquiries are processed.
- Automated Query Categorization: Identifies and tags messages based on keywords related to business hours, pricing, location, and contact information.
- Data Extraction: Captures essential message details for further processing.
- Extensible Logic: Designed for easy expansion to include AI-powered responses or human agent routing.
How To Use
- Configure WhatsApp Trigger: Set up the
Incoming WhatsApp Messagesnode with your WhatsApp Business API credentials and a webhook URL. - Define Message Filtering: Use the
Filter Text Messages Onlynode to ensure only text messages are processed (ensure{{ $json.messages[0].type }}is set totext). - Extract Message Data: Configure the
Extract Message Contentnode to capturemessage_text,sender_phone, andmessage_idusing the provided expressions. - Implement Keyword Detection: Customize the
FAQ Keyword Detectionnode'srulesto include your specific keywords for different categories like 'Business Hours,' 'Pricing,' 'Location,' and 'Contact.' Add or modify conditions as needed. - Add Further Logic: Connect the output of the
FAQ Keyword Detectionnode to subsequent nodes that will either send automated replies (e.g., using a WhatsApp Send Message node) or forward the message to a human agent based on the detected category.
Apps Used
Workflow JSON
{
"id": "090b7b4f-c447-4669-8f6f-35fe8759d0eb",
"name": "Automated WhatsApp Support Bot",
"nodes": 7,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 090b7b4f-c447...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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