Generate personalized trip recommendations with Claude AI and Google Sheets

Description

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

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

Setup Steps

Import workflow into n8n
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
Create Google Sheets with tabs:
user_profiles - User data and preferences
trip_history - Past trip records
recommendations - Generated suggestions
analytics - Trend analysis logs
Set your API keys and sheet IDs in the configuration nodes
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