Industry Case Study

HotelHub Unified Booking Engine
Unified Booking Engine

Centralized booking engine aggregating 30+ hotel suppliers (Hotelbeds, Booking.com, Expedia, Webhotelier, Juniper) into a unified API. Rate mapping, availability caching, and real-time pricing engine.

Client

HotelHub International

Industry

Hospitality

Services

Hotel Supplier Integrations, Backend APIs, Cloud/Infrastructure

Duration

8 Months

Build Something Similar Visit Live Site

Suppliers Connected

30+

The Challenge

HotelHub International was managing separate integrations with over 30 hotel suppliers, each with different APIs, data formats, and rate structures. This fragmented approach resulted in inconsistent pricing, slow response times exceeding 5 seconds, and a maintenance burden that consumed most of their engineering resources. They needed a unified layer that could normalize all supplier data, cache availability intelligently, and deliver consistent sub-second responses to their B2B partners.

Core Objectives

Unify 30+ hotel supplier APIs into a single normalized GraphQL endpoint
Achieve sub-200ms API response times with intelligent caching
Implement real-time rate mapping and accuracy validation
Build auto-scaling infrastructure to handle seasonal traffic spikes

Technology Stack

Frontend

React TypeScript Apollo Client

Backend

Node.js GraphQL PostgreSQL Redis

DevOps & Cloud

Kubernetes Terraform AWS Datadog

Project Status Completed

Our Solution

Intelligent Supplier Aggregation Layer

We built a high-throughput booking engine with a GraphQL API layer that normalizes data from 30+ suppliers, backed by intelligent caching and real-time rate validation.

Unified API Layer

Single GraphQL endpoint abstracting 30+ supplier APIs with automatic failover, rate normalization, and consistent response schemas.

Smart Caching Engine

Multi-tier Redis caching with TTL-based invalidation that pre-fetches popular routes and dynamically adjusts cache duration based on rate volatility.

Rate Accuracy Engine

Real-time rate validation pipeline that cross-checks supplier responses to maintain 99.7% pricing accuracy across all channels.

B2B Partner Dashboard

A comprehensive dashboard giving B2B partners real-time visibility into booking performance, supplier health, and rate competitiveness.

Real-time supplier availability monitoring

Rate competitiveness heat maps

Automated booking reconciliation reports

Our Process

From Discovery to Launch

Discovery

Audited all 30+ supplier integrations, documenting API quirks, rate structures, and data inconsistencies.

Design

Architected the unified schema, caching strategy, and GraphQL API design with B2B partner input.

Development

Built supplier adapters, caching layers, and the rate validation engine with comprehensive integration tests.

Launch

Deployed on Kubernetes with zero-downtime migration, gradually routing traffic from legacy to the new engine.

Key Results

Measurable Impact

The unified booking engine dramatically improved performance, accuracy, and revenue for HotelHub and their B2B partners.

API Response Time 200ms

Rate Accuracy 99.7%

Revenue Increase +85%

Performance Metrics

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"The unified booking engine Jenova Tech delivered has been a game-changer. Our API response times dropped from 5 seconds to 200 milliseconds, and our B2B partners immediately noticed the difference. Rate accuracy went from a constant headache to something we barely need to think about."

Sarah Mitchell

VP of Engineering, HotelHub International

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