SwiftRide – Revolutionizing Urban Transportation
%
Faster Server Response Time
%
Operational Efficiency
%
Cost Savings
Reached 10,000+ app downloads within the first 60 days of launch
Recorded zero data breaches or security incidents
Increased operational efficiency by 100% through complete automation of ride dispatching
Achieved 99.9% GPS accuracy, enabling precise tracking and faster pickups
Client Overview
Company: SwiftRide
Industry: Urban Transportation / Mobility-as-a-Service
Platform: iOS & Android
Location: New York, USA
Challenges
Real-Time Synchronization
Scalability
Preparing the infrastructure to support thousands of simultaneous users across various geographies.
Data Security
Handling sensitive user and payment data with top-tier encryption and compliance.
Cross-Platform Compatibility
Solution
Agile Development Process
Implemented Scrum methodology with 2-week sprints, allowing for rapid iteration, stakeholder feedback, and adaptive changes.
Real-Time Architecture
Scalable Backend
UX/UI Design
Key Features Developed
Live Driver-Rider Map with ETA & Fare Estimation
Integrated real-time GPS tracking and dynamic pricing to give users accurate driver locations, estimated time of arrival, and fare calculations before booking.
Push Notifications for Ride Status Updates
Enabled instant alerts for ride confirmations, driver arrivals, trip progress, and payment status to keep users informed at every step.
Wallet and Card Payment System
Implemented secure in-app payments via credit/debit cards and digital wallet integration for fast, one-tap checkouts.
In-App Chat and Emergency SOS Features
Built a secure messaging system for rider-driver communication and a one-tap SOS button for emergency assistance with location sharing.
Admin Dashboard for Driver and Ride Management
Created a robust dashboard for managing driver profiles, trip histories, approvals, and active rides in real time.
Analytics and Customer Support Tools
Integrated real-time analytics for performance tracking and built-in tools for handling customer queries and issue resolution.
Results & Impact
| Metric | Before Techzooni | After Delivery | Improvement |
|---|---|---|---|
| Time-to-Match Rider & Driver | 2 mins (manual) | 15 seconds (automated) | 87.5% decrease |
| App Load Time | — | 2.4 seconds | — |
| Server Response Time | 2.1 seconds | 0.5 seconds | 76% faster |
| Crash Rate | — | < 0.3% | Industry-leading |
| User Retention (30 days) | N/A | 68% | — |
| App Store Rating | — | 4.8/5 | — |
| Operational Efficiency | Manual dispatching | Fully automated | 100% automation |
| Cost Savings (on dispatch staff) | $12K/month | $0 | 100% cost reduction |
Technologies
Frontend
Bootstrap 5.0, Javascript & JQuery
Backend
Ruby On Rails, Socket.IO
Database
MongoDB, Firebase
Security
SSL Encryption, OAuth 2.0 Authentication
Payment Integration
Stripe API
Cloud & Infrastructure
AWS (EC2, RDS, S3)
