NovaGen

Loading...

Projects/Ella Resort BookingHospitality / Tourism

Case Study

Ella Resort Booking

A sophisticated hospitality management system handling dynamic pricing, real-time inventory, and global bookings for a luxury Sri Lankan resort.

The Challenge

Understanding the Problem

The resort needed a booking system that could handle concurrent reservations from multiple channels (website, OTAs, walk-ins) without overbooking, while supporting complex pricing rules based on seasons, room types, and special events.

Our Approach

We built a headless CMS integrated with a PostgreSQL database using ACID-compliant transactions, ensuring booking integrity even under high concurrency loads.
Phase 1
OTA API Integration (Airbnb/Booking.com)
Phase 2
AI Dynamic Pricing Engine
Phase 3
Mobile App for Staff
Phase 4
Smart Room Integration

The Solution

Headless CMS integrated with a robust SQL transaction engine to prevent overbooking. Real-time inventory sync across all booking channels.

  • 0 Overbookings
  • +40% Direct Bookings
  • <3s Booking Speed

The Outcome

Zero overbooking incidents since launch with 40% increase in direct bookings due to improved UX and real-time availability display.

Impact: 40% More Direct Bookings

Technical Deep Dive

Engineering Excellence

A comprehensive look at the technical architecture and implementation details that power this solution.

security

ACID-compliant database transactions ensure booking integrity. PCI-DSS compliant Stripe payment processing with 3D Secure support.

logic

Custom calendar algorithm handling varied date ranges, room types, and seasonal pricing rules in O(1) time complexity for instant price calculations.

System Architecture

Next.js Frontend

Booking Interface

API Gateway

tRPC Endpoints

Booking Engine

PostgreSQL + Prisma

Stripe

Payment Processing

SendGrid

Email Confirmations

Booking Request: frontendapi
ACID Transaction: apiengine
Charge Guest: enginepayment
Send Confirmation: paymentnotification

Development Journey

From Concept to Launch

2 weeks

Business Analysis

Conducted stakeholder workshops to map complex pricing matrices including seasonal rates, room type variations, and event-based surcharges, documented all edge cases in booking flow including group reservations and partial payments, and established acceptance criteria for zero-overbooking guarantee.

4 weeks

Database Architecture

Designed PostgreSQL schema with SERIALIZABLE isolation level for ACID transactions, implemented row-level locking strategy to handle concurrent booking attempts, and created optimized indexes for sub-second availability queries across date ranges.

8 weeks

Booking Engine

Built real-time availability calendar with O(1) lookup complexity using Redis caching layer, developed dynamic pricing calculator with rule engine supporting 50+ pricing variables, and integrated Stripe payment processing with SCA (Strong Customer Authentication) compliance.

4 weeks

Admin Dashboard

Created comprehensive staff portal with reservation management, housekeeping coordination, and revenue analytics dashboards, implemented role-based access control for different staff levels, and built automated reporting system for nightly audit and financial reconciliation.

2 weeks

Integration & Launch

Established two-way sync with OTA channels (Booking.com, Agoda) via channel manager API, conducted rigorous stress testing with 500 concurrent booking attempts, and delivered on-site staff training with comprehensive SOPs.

Measurable Impact

Key Results

Primary Outcome
40% More Direct Bookings

Direct business value delivered.

0
Overbookings
Since system launch
+40%
Direct Bookings
Increase in revenue
<3s
Booking Speed
Complete reservation flow

Impact Analysis

Overbooking Incidents

Before

3-5/month

After

0

100% Eliminated

Booking Completion

Before

45s

After

8s

5.6x Faster

Direct Revenue

Before

$8K/mo

After

$11.2K/mo

+40% Growth

Technology Stack

Tools & Frameworks

Next.js 14PostgreSQLStripeHeadless CMSPrismaRedisVercelSendGrid

Implementation

Concurrent Booking Lock

PostgreSQL row-level locking to prevent double bookings during concurrent reservation attempts.

logic.ts
1async function createBooking(roomId: string, checkIn: Date, checkOut: Date) {
2 return await prisma.$transaction(async (tx) => {
3 // Lock room rows for this date range
4 const conflicts = await tx.$queryRaw`
5 SELECT * FROM bookings
6 WHERE room_id = ${roomId}
7 AND status != 'cancelled'
8 AND (
9 (check_in, check_out) OVERLAPS (${checkIn}, ${checkOut})
10 )
11 FOR UPDATE NOWAIT
12 `;
13
14 if (conflicts.length > 0) {
15 throw new Error('Room not available');
16 }
17
18 // Create booking - guaranteed no conflicts
19 return await tx.booking.create({
20 data: {
21 roomId,
22 checkIn,
23 checkOut,
24 status: 'confirmed'
25 }
26 });
27 }, {
28 isolationLevel: 'Serializable',
29 timeout: 5000
30 });
31}

Performance

Performance Audits

95
Performance
98
SEO
96
Accessibility
100
Best Practices
"Our booking nightmares are over. The system handles everything perfectly."
General Manager, Ella Luxury Resort
View All Projects