Generate Personalized Travel Itineraries with Llama AI via Email & WhatsApp

Automates personalized travel itineraries from email/WhatsApp using Llama AI, generating daily plans with activities, hotels, and transport in a friendly tone.

n8n
Generate Personalized Travel Itineraries with Llama AI via Email & WhatsApp

This n8n workflow creates friendly, personalized travel itineraries based on natural language requests received via email or WhatsApp. Users can simply message 'I want to go to Dubai with friends for 5 days,' and the AI agent parses the details like destination, group size, duration, and preferences to craft a detailed daily plan including activities, transport tips, hotel suggestions, and more—all in a warm, human-like tone.

The workflow starts with trigger nodes for 'Get Query from Email' and 'Get Query from WhatsApp' to capture incoming requests. These feed into the 'Itinerary Creator Agent' powered by Llama AI, which generates comprehensive plans. A 'Check Proper Data' node validates the output for completeness and formatting, followed by 'Check where to send Answer' to route responses correctly. Finally, itineraries are sent back via 'Sending Itinerary from Email' or equivalent WhatsApp node.

Benefits include massive time savings for travel agencies, bloggers, or personal use by automating custom planning without manual input. It's ideal for customer service in tourism, enhancing user experience with multi-channel accessibility and advanced AI understanding of varied request formats. Supports scalability for high-volume inquiries while maintaining a professional, engaging delivery.

$24.99
Last updated October 10, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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