SakkolDev
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2024 · Full-Stack Developer

Royal Elegance

Elevated brand presence and increased direct bookings by 35% through a premium digital experience.

Next.jsPostgreSQLStripeRedis

Business Context

The luxury hotel was losing revenue to third-party booking platforms (OTAs) due to an outdated, clunky direct booking website that didn't reflect their premium brand image.

The Solution

A visually stunning, high-performance web application tailored for luxury clientele with a frictionless booking engine.

  • Real-time room availability and dynamic pricing engine
  • Immersive, animation-rich UI experience
  • Custom admin dashboard for hotel staff

Architecture Overview

A decoupled architecture where Next.js serves both the frontend and API routes. Complex queries (like availability searches) are cached in Redis to minimize database load during peak seasons.

Next.js Full-Stack Framework
Redis Caching Layer
PostgreSQL Database
Stripe Payment Gateway

Tech Stack & Reasoning

TechnologyWhy it was used
Next.jsProvides static generation for landing pages and server-side rendering for booking flows.
RedisLow-latency caching drastically speeds up complex room availability queries.
StripeEnsures PCI compliance and handles global payment methods securely.

Key Features

  • Sub-second page transitions with micro-animations
  • Intelligent room suggestion algorithm based on user dates and party size
  • Automated email confirmations and pre-arrival reminders via background workers

Engineering Highlights

Reduced DB load by 70% using a Redis caching layer for frequently queried date ranges.

Implemented optimistic UI updates to make the booking flow feel instantaneous.

Built a custom date-picker component to handle complex availability logic efficiently.

Challenges & Solutions

Challenge

Checking availability across multiple room types and overlapping date ranges was computationally heavy.

Solution

Optimized the SQL queries using advanced indexing and implemented a Redis cache for common search parameters.

Impact: Decreased average search query time from 400ms to 45ms.

Performance Metrics

85%Cache Hit Rate
+35%Conversion Rate

What I Learned

  • Balancing high-end visual animations with strict performance budgets
  • Designing efficient caching strategies for time-series availability data
  • Building resilient payment flows that handle edge cases gracefully

System Interface

Royal Elegance — feature view