HomeCase StudiesHospitality Group
CASE STUDY

Hotel Chain Booking Platform

Unified booking system across 150+ properties with dynamic pricing AI integration.

Industry: Hospitality
Region: Global
Services: Cloud, DevOps
Duration: 10 months
BUSINESS IMPACT
+60%
↗
Bookings
+35%
↗
Revenue/Room
<2s
↗
Load Time
150+
↗
Properties

Overview

A leading Hospitality company, with millions of daily transactions, faced challenges with scalability, system reliability, and high infrastructure costs. Their legacy infrastructure limited innovation speed and operational efficiency.

We designed and implemented a secure, scalable, and cost-optimized cloud architecture on AWS/Cloud Platform, enabling them to focus on innovation and customer experience.

The Challenge

  • -A major hotel chain operated 150+ properties but each used different booking systems.
  • -This fragmentation created inventory chaos, pricing inconsistencies, and a terrible customer experience with 70% mobile cart abandonment.

Our Solution

  • +We engineered a unified core booking engine, integrating a machine-learning pricing model to calculate rates dynamically based on hotel occupancies.

The Outcome

  • ★+60% bookings achieved
  • ★+35% revenue/room achieved
  • ★<2s load time achieved
  • ★150+ properties achieved
  • ★Enhanced security and monitoring metrics

Technology Stack

React
Next.js
Node.js
MySQL
Redis
Kubernetes
S3

Solution Architecture

Hover over the systems node modules to trace request processing connections.

VPC CLOUD NETWORKPublic SubnetPrivate SubnetData LayerUSERSROUTE 53CDN GATEALBNAT GateBastionEKS CLUSTERRDS (Multi-AZ)S3 (Backup)CLOUDWATCH & DATADOG REAL-TIME TELEMETRY SYSTEMS MONITORING
“

"Unifying 150+ properties onto one dynamic booking interface saved our staff hundreds of hours and cut mobile cart abandonment significantly with AI pricing integrations."

SL

Sunita Laxman

VP of Operations

Key Results

  • Infrastructure cost reduced by 150+ through right-sizing.
  • Achieved +35% system availability across multi-AZ clusters.
  • Deployment release schedules reduced from hours to minutes.
  • Improved overall telemetry visibility and incident response cycles by 60%.
  • Strengthened corporate compliance perimeters with industry best practices.

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