Voi is a leading European micro-mobility company providing e-scooter and e-bike sharing services. Voi's mission is to make cities more sustainable and less congested by offering a clean, efficient, and accessible mode of transportation. To achieve this, Voi needed an MVP that could test their concept of shared micro-mobility in urban environments while addressing critical aspects like fleet management, user safety, and city regulations.
Voi came to us with a vision to change how urban transportation works, but they needed a strategic partner to build a scalable, robust MVP that could validate their idea in real-world conditions. The challenge was multifaceted
Managing a large fleet of scooters across multiple cities required seamless integration with geolocation services, tracking mechanisms, and real-time data analytics.
Since the service involved public usage, the app needed to offer a smooth and intuitive user experience, while ensuring user safety through tutorials, helmet reminders, and compliance with local laws.
Voi had to meet diverse regulatory requirements in different cities, requiring flexibility in how the app would handle parking zones, speed limits, and operational hours.
The MVP needed to be scalable to test the concept in different cities without the need for extensive redevelopment.
Amplework Software worked closely with Voi to develop an MVP that could meet the stringent demands of a shared micro-mobility platform. Our approach was centered around rapid development and real-world validation
We started by deeply analyzing the urban mobility landscape, understanding user pain points, and defining the essential features that Voi's MVP needed to provide. Through this collaborative ideation process, we established the foundation for a scalable MVP.
We developed a robust fleet management system that allowed Voi to track the real-time status of each scooter or bike. The system was equipped with GPS tracking, geofencing, and predictive maintenance alerts to ensure that the fleet remained operational at all times.
To ensure safety, we implemented in-app tutorials that educated users on the correct use of e-scooters. The app also reminded users to wear helmets and adhered to the speed limits and parking zones regulated by each city. In areas with heavy pedestrian traffic, speed restrictions were automatically enforced.
The MVP incorporated dynamic pricing algorithms that adjusted based on factors like time of day, demand, and distance traveled. This not only helped Voi optimize ride allocation but also provided users with cost-efficient travel options.
The app was designed to be adaptable to different city regulations. By integrating geofencing technology, Voi could designate areas where e-scooters were allowed to operate, park, or had reduced speed limits. This allowed Voi to scale across cities with varying regulations without compromising on user experience or compliance.
The app was developed with a focus on creating a smooth and intuitive experience for riders. Users could locate nearby e-scooters, unlock them with a simple QR scan, and start riding within seconds. The app also allowed users to pause rides, check battery status, and receive real-time updates on nearby parking zones.
Our team started by conducting a detailed analysis of the micro-mobility market, understanding the pain points of urban commuters. We also looked into the technical feasibility of integrating fleet tracking with geolocation and developed strategies for optimizing fleet utilization and ensuring user safety.
We created a prototype that mapped out the user journey from locating a scooter to parking it safely. The UX/UI design focused on minimal touchpoints, ensuring a smooth flow for the user. The prototypes were tested in simulated environments to refine the app’s usability.
We developed a scalable backend that could track, manage, and optimize the fleet in real-time. This included predictive maintenance features, so scooters needing service were automatically flagged and removed from operation until repairs were made.
We built a geofencing system that allowed Voi to operate flexibly across cities. This feature allowed the app to automatically adjust to local laws by defining operational zones, parking restrictions, and speed limits, ensuring full regulatory compliance.
Voi’s MVP featured a dynamic pricing model that took into account demand fluctuations and offered real-time pricing to users. The MVP was deployed in a controlled environment across a few cities to test its scalability and adaptability, with a plan for rapid iteration based on user feedback.
The MVP for Voi provided a fast, scalable solution that validated their concept of shared micro-mobility in multiple cities
User Retention Rate
The seamless UX/UI, coupled with safety protocols and dynamic pricing, led to a high user retention rate, with riders consistently returning to use Voi scooters.
The MVP’s flexible architecture allowed Voi to expand into new cities with varying regulations and requirements without the need for extensive redevelopment.
Successful Scaling to Multiple Cities
The real-time fleet management system optimized the availability and maintenance of scooters, leading to higher ride efficiency and reduced downtime.
Increase in Ride Efficiency
The geofencing and compliance features allowed Voi to adhere to city-specific regulations, enhancing its credibility and partnerships with local governments.
Regulatory Compliance Across All Cities
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