KIWIride is a comprehensive solution for managing electric scooter and bicycle rentals that makes cities more mobile and greener.
Users can locate the nearest available electric scooter through the app.
The vehicle is easily activated by the user through the mobile app.
Users can then enjoy a convenient and eco-friendly ride.
Once the rental is complete, the vehicle can be returned to its designated parking lot.
Each vehicle is equipped with a GPS tracker, which allows its location to be monitored in real time.
The system instantly alerts operators of unauthorized movement of a vehicle.
Operators see a map of vehicle availability, allowing them to effectively manage their fleet and ensure its availability to users.
The system records the moment of vehicle activation.
The cost of the trip is calculated based on the time of use.
The cost of the trip is automatically debited from the user's card after the vehicle is returned.
The application displays the nearest available places for transport return.
The system selects optimal parking locations so that vehicles are distributed evenly.
Users receive bonuses for returning vehicles to recommended locations.
Payment by cards.
Payment via mobile wallets.
Payment using QR codes.
Indicator
Description
Popularity of routes
Time of useOptimize scooter placement based on popular routes.
Time of use
Creating optimal fare plans based on average travel times.
Profitability
Optimization of the scooter fleet based on profitability analysis.
The system automatically redistributes vehicles according to predicted demand.
Algorithms predict transport demand based on analysis of historical data.
Rapid increase in the number of available vehicles during peak hours.
Users receive notifications when a trip is completed and funds are debited.
Users receive information about their balance and payment history.
Users receive information about special offers and discounts.
The system automatically detects faults in the vehicle.
Information about the problem is passed on to service specialists.
The vehicle is being sent for repairs and maintenance.
After repairs, the vehicle is again available for rent.
We assess how the use of electric transport reduces carbon emissions.
We analyze how micromobility reduces traffic congestion.
We calculate fuel savings and reduced road wear.
The system is synchronized with traffic lights to optimize the movement of microtransport.
Electric vehicles can be recharged at city stations integrated with our system.
Information about transport availability is displayed on city information boards.
The system provides detailed instructions on the safe use of electric transport.
In pedestrian zones, speed is automatically reduced for the safety of pedestrians.
The system is integrated with insurance companies to provide users with additional protection.
The application has a button for quickly calling emergency services if necessary.
The system is available in various languages for users from all over the world.
The interface is automatically translated into the user’s language.
Support is available in the users’ native language.
Earn points for every ride.
Get more benefits by becoming an active user!
Redeem points for free rides or discounts.
Users can pay for travel on microtransport and public transport with one ticket.
Integration with trip planning apps makes it easy to create combined routes using microtransit and public transport.
Parking for microtransport is located near public transport stops, which provides convenience for users.
Users can rate the quality of each trip after it is completed, which allows us to improve the quality of our service.
The system rewards users with high ratings with bonuses such as discounts or free trips.
The ability to leave comments and suggestions for improving the service, helping us make it better.
Built-in audio guides for popular tourist routes.
The system suggests interesting places nearby during your trip.
Special offers for tourists for long-term transport rental.
Built-in motion sensors detect any attempts at unauthorized movement or damage.
A loud signal alerts you to an attempted break-in or theft.
The system automatically blocks transport when suspicious activity is detected.
Optimization of traffic lights for microtransport.
Automation of parking for microtransport.
Integration with city energy management systems.
The system continuously collects information about the condition of each vehicle.
Machine learning algorithms analyze data to predict potential failures.
The system automatically generates a preventive maintenance schedule.
Timely repairs minimize the risk of breakdowns.
Speed is automatically reduced in certain areas of the city to ensure safety.
The use of electric scooters is prohibited in these areas to prevent dangerous situations.
Permitted parking places for electric scooters have been determined to ensure order in the city.
Accurately track your physical activity while traveling.
Receive personalized advice on healthy living.
Call for help quickly in case of an accident.
Users can share their ideas on how to improve the service.
The development team analyzes and evaluates the suggestions received from users.
Implementation of the most effective user ideas into the system.
Regular app updates with new features based on user feedback.