Online Booking and AI Pricing System for a Boutique Hotel

A 12-room boutique hotel in Cappadocia took almost all its reservations by phone and email. Online bookings accounted for just 15% of total reservations. Pricing was entirely manual, and uninformed price hikes before peak season were driving customers away.

Problem

The main issues with the existing setup:

No online booking infrastructure; bookings were entered manually on Booking.com and Expedia

Pricing was intuitive — no competitor analysis or demand forecasting

Last-minute cancellations left rooms empty and occupancy volatile

3-4 hours a day spent on reservation management

Approach

We built a reservation engine tailored to the hotel and set up API integrations with Booking.com and Expedia. The AI-based pricing engine runs demand forecasts and competitor analysis to dynamically optimize nightly rates.

Solution

Custom online booking system (Next.js with Stripe integration)

Booking.com / Expedia channel manager integration

AI-based dynamic pricing engine (Python + XGBoost)

Competitor price tracking (web scraping + API)

Automated guest communication (WhatsApp + email)

Dashboard: occupancy, revenue, pricing analysis

Results

After 6 months of use:

Online booking share: 15% → 65%

Revenue per available room (RevPAR): up 45%

Last-minute occupancy loss: down 80%

Manual booking workload: down 90% (to 30 minutes a day)

Occupancy rate: annual average up from 58% to 78%

Online Booking and AI Pricing System for a Boutique Hotel.

Challenge

Solution

results

Problem

Approach

Solution

Results

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