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Enhancement of Vacation Rental SaaS Platform with Microservices and Third-Party Integrations

digiteum.com

Hospitality & leisure

Real estate

Information technology

Challenges in Scaling and Integrating Vacation Rental Management Solutions

Lodgify required enhanced engineering capabilities to address scalability challenges, improve third-party system integrations (e.g., Airbnb, Booking.com), and develop new features to optimize property management workflows while maintaining a unified platform for global hosts.

About the Client

A fast-growing traveltech company providing a cloud-based SaaS platform for vacation rental management, targeting property owners and managers.

Key Goals for Platform Enhancement

Augment the existing .NET backend team with senior engineers skilled in microservices and modern frameworks
Strengthen third-party integrations for channel management and rate synchronization
Develop scalable backend architecture to support global property listings
Improve automation tools for booking workflows and guest experience management

Core System Functionalities

Automated booking workflow and reservation synchronization
Multi-channel listing management (Airbnb, Expedia, etc.)
Template-based mobile-optimized website builder
Dynamic pricing and rate management tools
Integration with analytics and scheduling platforms (PriceLabs, CheKin)

Technology Stack Requirements

.NET Core

Microservices architecture

Cloud-based deployment (AWS/Azure)

CI/CD pipelines

Scrum framework

Third-Party System Integrations

Airbnb API
Booking.com API
Expedia API
PriceLabs for dynamic pricing
CheKin for operational analytics

Non-Functional Requirements

High scalability to support global users
Low-latency synchronization across channels
Robust security for guest data and transactions
Automated deployment with zero-downtime updates
Code quality through peer reviews and testing

Expected Business Outcomes

Enhanced platform scalability and integration capabilities will enable Lodgify to attract larger property management clients, reduce operational overhead through automation, and increase direct bookings by 20-30% via improved channel visibility and pricing tools.