Automate Guest Experience & Staff Scheduling for Resorts
Three agents personalize guest communications, optimize staffing schedules, and dynamically price rooms based on occupancy — saving 12 hours/week.
AI Readiness Score
Basic guest data in sheets, payment data in Stripe, but limited guest preference tracking
Already using Claude, hospitality team eager to improve guest experience
Budget adequate for hospitality AI tools, ROI clear through guest satisfaction
Clear repetitive processes in guest communications and scheduling, existing digital workflows
3-6 month timeline allows for seasonal testing and refinement
Good API coverage with existing tools, moderate complexity for reservation system integration
How This System Works
Architecture
Three specialized agents work together to transform guest experience through personalization, optimize seasonal staffing challenges, and improve revenue management decisions. All agents leverage existing Google Sheets infrastructure with targeted integrations to Twilio and Stripe.
Data Flow
Guest data flows from booking systems through Sheets to power personalized communications via Twilio. Staff scheduling optimization analyzes occupancy patterns in Sheets to generate optimal schedules. Revenue intelligence combines booking data from Sheets with payment patterns from Stripe to provide pricing recommendations.
Implementation Phases
Implement personalized guest communications and preference tracking
Deploy intelligent staff scheduling for seasonal variations
Add sophisticated revenue management capabilities
Prerequisites
- -Standardize guest data format in Google Sheets
- -Set up Twilio SMS service
- -Configure Stripe webhook notifications
- -Establish baseline metrics for ROI tracking
Assumptions
- -Resort has basic guest data collection processes
- -Staff scheduling currently done in spreadsheets
- -Management committed to data-driven decision making
- -Seasonal booking patterns are documented
Recommended Agents (3)
How It Works
- 1Retrieve guest history from Sheets and Stripe
Pull past stays, preferences, spending patterns
Google Sheets API - 2Generate personalized welcome message
Include room preferences, activity suggestions, dining recommendations
Claude - 3Send via SMS or update guest profile
Deliver personalized message with local recommendations
Twilio
Data Flow
Inputs
- Google Sheets — Guest history, preferences, special occasions(guest_profiles.csv)
- Stripe — Payment history, upgrade patterns(JSON)
Outputs
- Twilio — Personalized guest communications(SMS)
- Google Sheets — Enhanced guest profiles with interaction history(updated_rows)
Prerequisites
- -Guest data standardization in Sheets
- -Twilio SMS setup
Error Handling
Use property-wide welcome template
Log for front desk follow-up
Integrations
| Source | Target | Data Flow | Method | Complexity |
|---|---|---|---|---|
| Google Sheets | Twilio | Guest preferences → personalized SMS | api | low |
| Stripe | Google Sheets | Payment data → guest spending profiles | webhook | moderate |
| Google Sheets | Claude | Guest/staff/revenue data → AI analysis | mcp | low |
Schedule
0 8 * * * (booking webhooks)0 6 * * 10 7 * * 1,4Recommended Models
| Task | Recommended | Alternatives | Est. Cost | Why |
|---|---|---|---|---|
| Guest personalization and communication | Claude Sonnet 3.5 | GPT-4Claude Haiku for simple tasks | $0.15 per guest interaction | Excellent at understanding context and generating natural, personalized communications while maintaining hospitality tone |
| Staff scheduling optimization | Claude Sonnet 3.5 | GPT-4Claude Haiku for simpler schedules | $2.00 per weekly schedule generation | Strong analytical capabilities for complex scheduling constraints and seasonal pattern recognition |
| Revenue analysis and pricing | Claude Sonnet 3.5 | GPT-4 for complex analysis | $3.00 per pricing analysis cycle | Excellent at analyzing multiple data sources and providing nuanced pricing recommendations |
Impact
What Changes
Quality Gains
- ✓Consistent personalized guest communications
- ✓Optimized staffing levels reduce service gaps
- ✓Data-driven pricing improves competitiveness
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What's next?
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