Mobile Application
The moment they came to us, Hive already had a mobile app that allowed people to rent an electric scooter, and the solution was quite popular in many countries around the world. The primary goal of the client’s app was to offer users an enjoyable city exploration experience by providing easy access to personal electric scooters.
Using the mobile app, users were able to easily locate scooters on an interactive map and rent one. After the ride, they could park the vehicle in the selected area and lock it again. This way, Hive had made travel more accessible, quick, fun, and eco-friendly.
Hive’s vision was to establish a user-friendly platform that would support their team in the processes of localisation of scooters and defining the deployment spots from where they can be rented or where they should be left behind. The app should seamlessly display the real-time locations of electric scooters.
Our task was to bring the client’s vision to life through the development of a web app equipped with functionalities tailored to meet their specific objectives.
Built from the ground up, the web app required a dedicated administrative panel for the client’s company to provide essential insights into the deployment and usage of scooters and areas where they could be parked. Key functionalities had to include interactive mapping, handling diverse map views, and ensuring real-time updates to facilitate smooth user interactions.
The success of the project depended on our ability to overcome these challenges and deliver a robust web application that met Hive’s specific requirements.
Our task was to bring the client’s vision to life through the development of a web app equipped with functionalities tailored to meet their specific objectives.
Built from the ground up, the web app required a dedicated administrative panel for the client’s company to provide essential insights into the deployment and usage of scooters and areas where they could be parked. Key functionalities had to include interactive mapping, handling diverse map views, and ensuring real-time updates to facilitate smooth user interactions.
The success of the project depended on our ability to overcome these challenges and deliver a robust web application that met Hive’s specific requirements.
When delivering the web application for Hive, we efficiently navigated challenges such as implementing an interactive Mapbox map, providing real-time updates, and optimising performance to ensure a seamless user experience.
On maps, the Hive team was to be able to monitor scooter activity and their readiness to go. They were able to see which ones were active and inactive, check their exact location and fuel level, and see how many kilometres each of them drove. Thanks to the filtering options, they also were able to define precisely what scooters they were looking for based on their location, type of vehicle, state, battery level, and reservation state.
The web application was also planned to support the process of verification and establishing parking spots from where people could rent scooters or where they should be left behind. The system allowed them to find active and non-active spots and recommended where some new ones should be located.
