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E-Scooter App Development for Smarter Urban Mobility 

Seasia partnered with a leading smart mobility provider to deliver a robust e-scooter app development solution. Designed for multi-platform accessibility, this solution ensures smooth operations and an exceptional user experience for sustainable urban transportation.

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About E-Scooter App Development Project

About E-Scooter App Development Project
INDUSTRY
Smart Mobility (EV)
PROJECT DURATION
6 to 8 months

This initiative was designed to create a scalable, IoT-enabled platform for modern urban mobility. Built for multi-platform accessibility, it ensures seamless ridesharing, real-time monitoring, and eco-friendly transportation. By integrating advanced technologies such as IoT-based e-scooter applications and AI analytics, the project addresses traffic congestion and promotes sustainable, smart city solutions. 

Project Scope & Challenges

The project aimed to deliver a scalable, user-friendly platform for seamless micromobility management.

Business Challenges:

  • Implementing real-time GPS tracking and IoT integration for smart locks and sensors
  • Designing a smooth UI/UX for multi-platform compatibility (iOS, Android, Web)
  • Ensuring secure payment gateways with multiple options
  • Integrating AI-driven ride safety and driving behaviour analysis

Seasia’s Solution

Seasia Infotech developed a robust e-scooter mobile app solution to ensure secure, efficient, and user-friendly ride-sharing experiences across multiple platforms.

IoT Integration

Real-time scooter tracking and smart lock control

AI-Powered Safety

Ride quality checks and driving behavior analysis

Multi-Platform Support

Apps for iOS, Android, and web with intuitive UI/UX

Secure Payments

Multiple gateways for safe, seamless transactions

QR-Based Unlocking

Simplified scooter access for user convenience

Tech Stack We Utilized

Frontend

React NativeReact Native
Flutter (cross-platform)Flutter (cross-platform)
Swift (iOS)Swift (iOS)
Kotlin (Android)Kotlin (Android)

Backend

Node.jsNode.js
DjangoDjango
Spring BootSpring Boot

Database

PostgreSQLPostgreSQL
MongoDBMongoDB
Firebase Realtime DatabaseFirebase Realtime Database

Cloud & Hosting

AWSAWS
AzureAzure
Google CloudGoogle Cloud

Payment Integration

StripeStripe
PayPalPayPal
RazorpayRazorpay

Mapping & GPS

Google Maps APIGoogle Maps API
MapboxMapbox

AI & Analytics

TensorFlow LiteTensorFlow Lite
Scikit-learnScikit-learn

IoT Integration

MQTTMQTT
Bluetooth APIsBluetooth APIs

Security

JWTJWT
OAuth 2.0OAuth 2.0
SSL EncryptionSSL Encryption

Results & Achievements

  • Improved user retention via seamless payments

  • Enhanced safety with smart sensors

  • Reduced downtime using AI ride monitoring

  • Expanded reach on iOS, Android, web

  • Scaled platform for growing users

Project Impact

This e-scooter app project demonstrates how AI-powered e-scooter apps for smart cities and urban mobility app solutions can transform transportation. The solution empowers businesses to deliver secure, scalable, and eco-friendly ride-sharing services, enabling smarter and more sustainable city transportation.

Talk to Our Experts

What They Say

Simmi Walia

Simmi Walia

CEO at Realesta

An Esteemed Client

An Esteemed Client

New York, USA

Mrs. Arshpreet Kaur

Mrs. Arshpreet Kaur

Director, WELRM

Nigel Teags

Nigel Teags

CEO - TrackNinja

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