Challenge
Australia's hail repair industry operated through fragmented phone calls, manual job dispatching, and slow quote turnarounds. Customers had no way to find nearby technicians, and technicians lacked centralised job management tools.
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Discover how KBA Systems engineered a dual-app mobile platform (Customer + Technician) with real-time GPS tracking, automated Facebook lead capture, photo-based quoting, and intelligent technician dispatch. Complete ecosystem serving Australia's hail repair market with 10+ months of development.
Australia's hail repair industry operated through fragmented phone calls, manual job dispatching, and slow quote turnarounds. Customers had no way to find nearby technicians, and technicians lacked centralised job management tools.
We engineered a dual-app ecosystem (Customer + Technician) with real-time GPS tracking, photo-based quoting, Facebook Messenger lead integration, and intelligent technician matching based on location and availability.
Production-grade platform with 2 native mobile apps (iOS/Android), real-time technician tracking, automated Facebook lead capture, points wallet loyalty system, and admin dashboard for operational oversight.
Mobile Apps
Platforms
Project Duration
Loyalty System
Real-Time Tracking
Quote Generation
Lead Capture
Australia's east coast experiences some of the world's most damaging hail events. Yet the industry response remains largely manual — leaving thousands of vehicle owners struggling to find qualified technicians after storms, and leaving technicians without efficient job management tools. This creates lost opportunities and operational chaos during peak demand.
Customers had no way to find and compare nearby certified technicians instantly after hail events.
Repair estimates required multiple calls, site visits, and long waits with no standardisation.
Once booked, customers had no visibility into technician location or job status.
Technicians received jobs via calls or texts with no structured system for acceptance and routing.
Businesses spending on Facebook Ads had no automated way to convert enquiries into bookings.
Without loyalty tools or communication channels, little incentive for repeat business.
This project demanded solutions across dual-app architecture, real-time infrastructure, third-party integrations, photo handling, multi-role access, and loyalty systems. Each challenge required careful engineering decisions and thorough testing.
Building two separate Flutter apps (Customer and Technician) with distinct UX flows, permissions, and features, while sharing a single Laravel backend and avoiding code duplication.
Implementing live technician location tracking visible to customers, with minimal battery drain, accurate map rendering, handling offline scenarios, and proper privacy controls.
Connecting Facebook Messenger directly to the backend so ad-generated enquiries automatically trigger technician matching based on customer zip code and technician availability.
Allowing customers to upload vehicle damage photos and receive instant, accurate quotes without requiring physical inspection upfront — requires image processing and quote calculation engine.
Managing job lifecycle across customers, technicians, and admins with different views and permissions — preventing conflicts, data loss, and ensuring consistency across platforms.
Delivering job updates and enabling two-way chat between customers and technicians reliably across both apps, with offline support and proper notification batching.

We built a complete mobile-first ecosystem with separate apps for customers and technicians, unified by a powerful Laravel backend. Real-time GPS tracking, automated lead capture from Facebook, photo-based quoting, and intelligent job dispatch create a seamless experience from lead to completion.
Customer app for booking and tracking. Technician app for job management — both from single Flutter codebase for efficient development and maintenance.
Live technician location visible to customers during active jobs with minimal battery drain and accurate map rendering via Google Maps SDK.
Messenger enquiries trigger automatic proximity queries, matching customers with nearby available technicians instantly and eliminating manual lead follow-up.
Customers upload damage photos and receive instant, structured repair quotes without requiring physical inspection upfront.
Job lifecycle (assignment, acceptance, updates, completion) managed seamlessly across customers, technicians, and admins through role-based access.
Real-time notifications for job updates and two-way in-app messaging between customers and technicians via Firebase Cloud Messaging.
Customers earn points on completed jobs and bookings, creating repeat business incentive without discounting.
Full operational visibility with job dispatch, technician management, analytics, and performance tracking.
The architecture prioritizes real-time responsiveness, location accuracy, and seamless multi-role coordination. Event-driven backend patterns trigger notifications instantly, Facebook integration captures leads automatically, and dual-app design provides tailored experiences for different user roles while maintaining single source of truth.
The platform delivers complete end-to-end coverage: customers discover, quote, book, and track repairs in one app; technicians manage jobs and communicate; admins have full operational control. Loyalty system drives repeat business while Facebook integration eliminates manual lead follow-up.
The stack balances cross-platform reach with native performance. Flutter provides excellent mobile UX across iOS/Android, Laravel backend handles complex business logic, real-time features use WebSockets, and third-party integrations (Facebook, Google Maps, Firebase) are cleanly abstracted.
Instant quotes from damage photos, real-time technician tracking, transparent pricing, loyalty rewards. Complete transparency replaces uncertainty and phone tag.
Intelligent job assignments based on location, clear expectations, in-app communication. More jobs, less admin work, higher productivity.
Automatic Facebook lead capture (zero lost leads), intelligent job dispatch maximizing utilisation, data-driven insights on demand and preferences.
Capacity to handle hail surge events, loyalty program driving repeat business, brand building through superior customer experience.
MVP with single app takes 4-6 months, full dual-app platform takes 8-12 months, with real-time tracking and integrations takes 12-16 months. Our platform required 10+ months due to GPS complexity, photo quoting, Facebook integration, and cross-platform optimization.
Battery drain, network latency, offline scenarios, poor GPS signal, privacy concerns, and scale. Solutions: smart update intervals (30 seconds), batching, local caching, offline queues, fallback strategies, privacy controls, efficient protocols.
Set up webhook endpoint, verify tokens, parse events, extract zip code, run proximity queries to find technicians, respond with matches. Key: rate limiting, security, async processing, comprehensive logging.
Native camera/gallery pickers, image compression, resumable uploads, progress bars, file validation, HTTPS encryption, secure storage, thumbnails, offline queues, retry logic.
Role selector at login, route to appropriate onboarding, maintain role in JWT, role-based UI navigation, enforce backend permissions, cache role locally, validate on backend.
Flutter/React Native for mobile, Node.js/Laravel for backend, PostgreSQL/MySQL, Google Maps, Firebase Cloud Messaging, Redis caching, AWS/Google Cloud.
WebSockets over polling, efficient data structures, caching, compress responses, optimize images, lazy loading, pagination, batch requests, CDN for assets, profile apps regularly.
Track in database with transactions, award on actions, prevent fraud, expire points if desired, allow redemption, display prominently, send notifications, gamify with badges, track ROI.
Manual dispatch can't scale during peak demand. Digital platforms turn crisis situations into opportunities by routing efficiently and capturing every customer.
Real-time tracking, photo processing, dual-app architectures, and seamless integrations represent hard problems solved well. This is production-grade mobile engineering.
Social media lead capture directly into technician dispatch creates a competitive moat. Businesses with this integration win customers in ways phone-based competitors cannot match.