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MountainLodge Resort — Boutique resort, 50 rooms

AI deployment blueprint for Boutique resort, 50 rooms. Automates resort guest experience using Google Sheets, Twilio, Stripe, Claude.

3 agents3 integrations12h freed/week2-3 weeks (Guest Experience Concierge)9h setupSimple

AI Readiness Score

68/100
WALK
data maturity60

Basic guest data in sheets, payment data in Stripe, but limited guest preference tracking

team capacity70

Already using Claude, hospitality team eager to improve guest experience

budget alignment65

Budget adequate for hospitality AI tools, ROI clear through guest satisfaction

automation readiness75

Clear repetitive processes in guest communications and scheduling, existing digital workflows

timeline feasibility75

3-6 month timeline allows for seasonal testing and refinement

integration complexity65

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

1
Guest Experience Foundation4-6 weeks

Implement personalized guest communications and preference tracking

Guest Experience Concierge
2
Operations Optimization3-4 weeks

Deploy intelligent staff scheduling for seasonal variations

Seasonal Staff Optimizer
3
Revenue Intelligence5-6 weeks

Add sophisticated revenue management capabilities

Revenue Intelligence Assistant

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

  1. 1
    Retrieve guest history from Sheets and Stripe

    Pull past stays, preferences, spending patterns

    Google Sheets API
  2. 2
    Generate personalized welcome message

    Include room preferences, activity suggestions, dining recommendations

    Claude
  3. 3
    Send via SMS or update guest profile

    Deliver personalized message with local recommendations

    Twilio

Data Flow

Inputs
  • Google SheetsGuest history, preferences, special occasions(guest_profiles.csv)
  • StripePayment history, upgrade patterns(JSON)
Outputs
  • TwilioPersonalized guest communications(SMS)
  • Google SheetsEnhanced guest profiles with interaction history(updated_rows)

Prerequisites

  • -Guest data standardization in Sheets
  • -Twilio SMS setup

Error Handling

warning
Guest data not found

Use property-wide welcome template

medium
SMS delivery failure

Log for front desk follow-up

Integrations

SourceTargetData FlowMethodComplexity
Google SheetsTwilioGuest preferences → personalized SMSapilow
StripeGoogle SheetsPayment data → guest spending profileswebhookmoderate
Google SheetsClaudeGuest/staff/revenue data → AI analysismcplow

Schedule

0 8 * * * (booking webhooks)
Guest Experience ConciergeProcess new bookings for personalization
0 6 * * 1
Seasonal Staff OptimizerGenerate weekly staff schedules
0 7 * * 1,4
Revenue Intelligence AssistantBi-weekly pricing analysis and recommendations

Recommended Models

TaskRecommendedAlternativesEst. CostWhy
Guest personalization and communicationClaude Sonnet 3.5
GPT-4Claude Haiku for simple tasks
$0.15 per guest interactionExcellent at understanding context and generating natural, personalized communications while maintaining hospitality tone
Staff scheduling optimizationClaude Sonnet 3.5
GPT-4Claude Haiku for simpler schedules
$2.00 per weekly schedule generationStrong analytical capabilities for complex scheduling constraints and seasonal pattern recognition
Revenue analysis and pricingClaude Sonnet 3.5
GPT-4 for complex analysis
$3.00 per pricing analysis cycleExcellent at analyzing multiple data sources and providing nuanced pricing recommendations

Impact

What Changes

Before
Manual guest communication templates, reactive scheduling adjustments
After
Automated personalized guest experiences, proactive staffing optimization
Before
Basic pricing based on occupancy rules of thumb
After
Data-driven pricing recommendations considering multiple market factors
Capacity Unlocked
Front desk staff can focus on in-person guest interactions instead of scheduling and basic personalization tasks
Time to First Impact
2-3 weeks (Guest Experience Concierge)

Quality Gains

  • Consistent personalized guest communications
  • Optimized staffing levels reduce service gaps
  • Data-driven pricing improves competitiveness
12h freed up/week$350/mo estimated cost

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What's next?

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