What did Brainvire deliver for Dockless Bike Share?

This application can be a big leap on local transport, any user searching for a scooter, gets the status of nearby Scooter point on his app. To start a ride, user needs to scan the QR code placed on the scooter and then it gets authenticated with online server.

What results did the Dockless Bike Share project achieve?

Complete Automated System; Adoptive cost calculation; 50K+ downloads, 200K+ rides & USD 2M+ collection.

What industry does the Dockless Bike Share case study cover?

Information Technology. Browse more Information Technology work in the Brainvire case study library.

Home / Case Studies / Dockless Bike Share

/ Case Study · Information Technology

A Dockless Bike Share Powered by IoT. 50K+ Downloads, 200K+ Rides.

/ The engagement

Scan, Unlock, Ride, No Docks.

An IoT and Bluetooth app that connects riders to internet-linked electric scooters, authenticates a QR scan against the server, and unlocks the hardware over BLE for a secure ride with no manual intervention.

IoTBluetooth BLEQR AuthenticationReal-time Tracking

50K+App downloads

200K+Rides completed

$2MRevenue generated

ZeroScooter malfunctions

/ About the client

Dockless Bike Share

The US-based client set out to create an Uber-like experience with electric scooters and no manual intervention. These internet-connected, dockless vehicles move more people toward sustainable electric transport and could be the next big thing in local travel.

A rider finds a nearby scooter on the app, scans the QR code to authenticate against the online server, and the app talks to the scooter hardware over BLE to unlock it. The result is a secure, fully automated ride from start to finish.

/ The approach

Design, architecture, and features, shipped as one program.

/01Hardware

App meets scooter

We linked the mobile app to the scooter over Bluetooth for sleek, real-time data exchange between rider, device, and server.

/02Data

Live rides at scale

Every ride generates a heavy stream of data. We tuned the flow so real-time tracking and ride history stay fast under a large live load.

/03Records

Every rider, every scooter

Huge volumes of customer and scooter data, from battery status to rides completed, are captured and organized so nothing gets lost.

/04Security

No room for misuse

Digital locking and server-side checks prevent misuse, holding the ride safe even with no staff on the ground.

/ What stood in the way

Four problems, solved without a maintenance window.

Select a challenge to see how it shaped the build.

/01 Hardware integration →

/02 Large live data →

/03 Rider and scooter records →

/04 Preventing misuse →

Hardware integration

Integrating the app with the scooter for sleek, real-time data exchange was the primary challenge. We solved it with a Bluetooth BLE link to the hardware.

Large live data

A single ride generates a large pool of data shared across app, device, and server. We built the pipeline to keep performance steady from live tracking to ride history.

Rider and scooter records

Vast customer and scooter data accumulates, from personal details to battery status. We structured it so every record stays organized and retrievable.