Frankporter

PlatformWebsite

IndustryHospitality

TimelineOngoing Project

Project Team

2 Backend Developers2 Frontend Developers2 QA Engineers1 Team Leader1 DevOps Support

Frankporter is a Dubai based property rental automation platform. We delivered full stack development and integrations to streamline bookings, pricing, and operations, including automation of housekeeping and workflows.

[ Project Overview ]

Property Management & Rental Automation

Frankporter is a Dubai-based property management and short-term rental automation platform built for a large-scale hospitality business. It supports thousands of reservations across platforms like Airbnb, Booking.com, and Avantio.

[ What We Actually Did ]

Robust Engineering for Scalable Systems

We migrated legacy modules to a modern Node.js and PostgreSQL stack, improving performance, integrations, and core workflows, while optimizing backend systems, security, and overall platform reliability.

[ Scope of Work ]

Key Functional Areas Delivered

Core features built to streamline reservations, property operations, integrations, and overall platform performance.

Reservation Management

Property Automation

Owner & Relocation

Calendar & Blocks

Dynamic Pricing

Task Management

User Roles

DevOps & APIs

[ Outcomes ]

From challenges to impact, we solved what mattered most

Major Challenges Solved

Managed complex reservation flows across platforms with inconsistent data, resolving API sync issues and token failures. Optimized large property imports, handled booking conflicts and logic discrepancies, and maintained stability across legacy systems and continuous deployments.

Business Impact

The system became more stable with improved reservation accuracy and faster syncing. Operational workflows like owner stays, relocations, and manual blocks are smoother and automated. Improved pricing and availability, along with better scalability, allow the client to manage more properties with less effort.

Technical Impact

Refactoring, improved indexing, and optimized Prisma queries significantly reduced technical debt and boosted overall performance. Stronger integrations with PriceLabs and Avantio improved data reliability, resulting in a more efficient, stable, and maintainable system.