Automate WhatsApp FAQ Responses with Keyword Detection
This workflow automates customer support on WhatsApp by detecting keywords in messages and sending predefined responses. It efficiently handles common inquiries about business hours, pricing, location, and more, while directing unrecognized queries to manual support.
This workflow is designed to streamline customer support through WhatsApp by leveraging keyword detection. It continuously monitors incoming messages, filters for text, and extracts relevant content. The workflow then matches keywords to predefined categories such as business hours, pricing, location, and contact information, sending appropriate responses. If a message doesn't match any keywords, a fallback response guides users to available commands or manual support. This setup reduces the wor
- Platform
- n8n
- Category
- Communication
- Price
- $14.99
- Creator
- Lily Zhang
- if
- set
- switch
- stickyNote
- whatsAppTrigger
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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