Ride-Hailing Platform

Ride App (Laravel + Flutter)

We built a full ride-hailing platform with real-time tracking, dynamic pricing, and multi-payment support. The Laravel backend handled 10K+ daily rides, while a single Flutter codebase delivered native-quality apps for both iOS and Android.

The system covers the entire trip lifecycle—from request, driver matching, and live navigation to payments, ratings, and dispute handling. Features like SOS alerts, trip-sharing links, and in-app support keep riders safe and informed, while drivers get a clear view of earnings, queues, and incentives.

Live GPS tracking Dynamic pricing & surge Multiple payment gateways SOS & safety features
Impact at a glance

10K+ / day

Trips handled by backend

Real-time

Tracking & ETA updates

Multi-city

Zones & pricing rules

iOS / Android

Single Flutter codebase

Operators gained an end-to-end solution for dispatch, pricing, and payouts, while riders and drivers got a clean, predictable experience from booking to drop-off.

Problem

The client needed more than a simple taxi app:

  • Existing tools couldn’t handle multiple zones, tariffs, and surge rules cleanly.
  • Legacy systems had unreliable tracking and frequent GPS drift issues.
  • No unified view for dispatchers to monitor trips or handle escalations.
  • Payments and driver payouts were mostly manual and error-prone.
Solution

We delivered a complete ride-hailing stack:

  • Flutter-based rider and driver apps with clean, map-first UX.
  • Laravel REST API for trip management, pricing, and notifications.
  • Real-time socket updates for driver location, ETA, and ride status.
  • Stripe / PayPal integration plus in-app wallet and cash support.
Outcome

The Ride App enabled:

  • Faster bookings with clear ETA and fare estimates before confirming.
  • More predictable driver earnings via transparent trip history and payouts.
  • Centralized dashboard for operations and customer support teams.
  • Safer rides with SOS, share-trip, and post-ride rating workflows.

Architecture overview

The platform is built around a Laravel backend, Flutter clients, and real-time communication channels for tracking and dispatch.

  • Client apps (Flutter) – Rider and driver apps handle signup, KYC, map views, trip state, wallets, and notifications from a shared codebase.
  • Laravel API – Central API for authentication, trip lifecycle, pricing, payment webhooks, and admin actions.
  • Real-time layer – WebSockets (or Pusher/socket server) push driver locations, trip status changes, and live ETAs to connected clients.
  • Geospatial & routing – Maps SDK and geospatial queries find nearby drivers, calculate routes, and estimate time/distance for pricing.
  • Background jobs – Queues handle notifications, receipts, payment captures, and reconciliation without blocking user flows.
Key trip features & flows
Request & matching

Riders see nearby drivers and get a fare estimate. The system finds eligible drivers based on distance, status, and ride type, then dispatches requests in waves.

Live navigation

Drivers see turn-by-turn navigation and pickup/drop pins; riders can track driver movement in real time on the map.

Fare & payments

Dynamic pricing accounts for distance, time, surge zones, and extra fees. Payments flow through Stripe / PayPal, with support for cash and wallet top-ups.

Safety & support

In-ride SOS triggers emergency contacts or support, while trip-sharing links let riders share location and ETA with friends or family.

All events—requests, cancellations, fare edits, and SOS triggers—are logged for audits and dispute resolution in the admin panel.

Core capabilities
  • Instant ride booking with fare estimates and ETA.
  • Real-time map tracking for rider and driver.
  • Driver and vehicle profiles with ratings and history.
  • Trip history, invoices, and receipt emails.
Tech & infra
  • Laravel backend with REST APIs and queue workers.
  • Flutter apps for iOS and Android using a shared codebase.
  • Stripe, PayPal and wallet support for flexible payments.
  • Map SDKs, geocoding, and routing for navigation and ETAs.
Typical use cases
  • City-based ride-hailing services competing with major players.
  • Corporate shuttle and staff transportation platforms.
  • Airport transfers and scheduled rides with fixed fares.
  • Vertical-specific logistics (e.g., healthcare transport, school runs) on top of the same core engine.