Generate personalized trip recommendations with Claude AI and Google Sheets

This workflow provides personalized travel destination recommendations by analyzing past trip history, user preferences, travel behavior patterns, and current trends. It uses Claude AI to generate intelligent, context-aware suggestions tailored to each traveler.

How it works

1. Receive Trip Request - Webhook captures user query with preferences and constraints
2. Validate Input - Checks required fields, normalizes data, calculates user profile metrics
3. Fetch Travel History - Retrieves past trips, ratings, and behavioral data from Google Sheets
4. Analyze Patterns - Identifies travel patterns, preferred destinations, seasonal preferences
5. Claude AI Recommendation - Generates personalized destination suggestions with reasoning
6. Enrich with Live Data - Adds current weather, events, flight prices (optional)
7. Store Recommendation - Saves suggestion to database with full context
8. Send Personalized Response - Delivers recommendations via email or API response
9. Daily Batch Updates - Scheduled job to refresh recommendations for all active users
10. Trend Analysis - Weekly reports on popular destinations and emerging trends

Setup Steps

1. Import workflow into n8n
2. Configure credentials:
   • Anthropic API - Claude AI for recommendation engine
   • Google Sheets - Trip history and user profiles
   • SMTP / Gmail - Email notifications
   • Weather API (optional) - Real-time weather data
   • Flight API (optional) - Price comparisons
3. Create Google Sheets with tabs:
   • user_profiles - User data and preferences
   • trip_history - Past trip records
   • recommendations - Generated suggestions
   • analytics - Trend analysis logs
4. Set your API keys and sheet IDs in the configuration nodes
5. Activate both webhook and scheduled workflows

Sample Trip Request Payload

{
  "userId": "USER-2025-1234",
  "userName": "Sarah Johnson",
  "userEmail": "[email protected]",
  "preferences": {
    "budget": "moderate",
    "travelStyle": "adventure",
    "interests": ["hiking", "local cuisine", "cultural sites"],
    "climate": "warm",
    "duration": "7-10 days",
    "travelMonth": "June"
  },
  "constraints": {
    "maxBudget": 3000,
    "departureCity": "San Francisco",
    "companions": "solo",
    "accessibility": "none"
  },
  "excludeRegions": ["visited_recently"],
  "prioritize": "unique_experiences"
}

Features

• AI-Powered Personalization - Claude analyzes patterns and generates unique suggestions
• Behavioral Learning - Improves over time based on trip ratings and feedback
• Real-Time Data Integration - Weather, events, and pricing for recommended destinations
• Budget Optimization - Suggests best value destinations within user budget
• Seasonal Intelligence - Recommends optimal travel timing
• Trend Detection - Identifies emerging destinations before they get crowded
• Multi-Factor Scoring - Balances preferences, budget, timing, and uniqueness