💬 AI-powered travel assistant for WhatsApp using Llama 3.2

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Description

This n8n workflow automates personalized travel assistance via WhatsApp through a friendly virtual agent named Alex. It helps users plan trips, explore destinations, get visa/weather/hotel information, and book packages—all through a conversational interface. The system ensures quick, human-like support 24/7, improving customer experience and reducing manual handling by travel agents.

Key Features

• The Travel Assistant agent provides contextual responses based on conversation history stored in memory.
• Alex maintains a friendly, professional tone throughout all interactions to enhance user experience.
• The workflow includes intelligent waiting mechanisms to ensure proper response processing.
• Memory functionality allows for seamless continuation of conversations across multiple interactions.

Workflow Process

• The Get WhatsApp Message node captures incoming messages from users on WhatsApp, initiating the travel assistance process.
• The Travel Assistant node processes user queries using AI to understand travel needs and generate appropriate responses for trip planning, destination information, visa requirements, weather updates, and booking assistance.
• The Travel Plan Creator agent works in conjunction with the main assistant to generate detailed itineraries and travel recommendations based on user preferences.
• The Memory node stores conversation context and user preferences, enabling personalized responses and seamless conversation flow across multiple interactions.
• The Wait For Response node introduces intelligent delays to ensure proper message processing and natural conversation pacing.
• The Send Reply On WhatsApp node delivers the AI-generated travel assistance back to the user through WhatsApp messaging.

Setup Instructions

• Import the workflow into n8n and configure WhatsApp Business API credentials for message handling.
• Set up the AI service for the Travel Assistant and Travel Plan Creator agents with your preferred language model.
• Configure the Memory node with appropriate storage settings for conversation persistence.
• Test the workflow by sending various travel-related queries through WhatsApp to ensure proper responses.
• Monitor conversation quality and adjust AI parameters as needed for optimal user experience.

Prerequisites

• WhatsApp Business API access or WhatsApp integration service
• AI/LLM service for travel assistance (OpenAI, Anthropic, or similar)
• Database or storage service for conversation memory
• Access to travel data APIs for real-time information (weather, visa requirements, hotel availability)

Modification Options

• Modify the Travel Assistant node to include specific travel databases, local recommendations, or branded responses.
• Adjust the conversation memory settings to control how much context is retained across interactions.
• Customize the Travel Plan Creator to include preferred booking platforms, hotel chains, or travel partners.
• Add additional specialized agents for specific travel services like flight booking, car rentals, or activity reservations.
• Configure response timing in the Wait For Response node to match your desired conversation flow.

🔗 Nodes Used

WhatsApp Business Cloud, AI Agent, Ollama Chat Model, Simple Memory, WhatsApp Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup