How to improve your E-Scooter-Sharing App with AI

Over the past year, electric scooters have won the hearts of city residents. E-scooters offer affordable, convenient, and eco-friendly traveling from point A to point B safely and quickly. In this article, let’s explore how AI technology can make e-scooter apps more customer-friendly and business-effective.

How does AI improve the features of e-scooter rental apps?

AI technologies can improve anything they touch, and your electric scooter app is no exception.

Automation is probably the biggest benefit of improving your e-scooter rental app. Artificial intelligence can collect and analyze data to improve the way drivers interact with the scooter, making their journey more efficient and enjoyable. Below are some examples of how electric scooters can benefit from AI-based features:

• Demand prediction. With AI-powered features, you can expect your app to automatically predict customer requests based on analysis of user data, weather, and events. In this way, you can meet the needs of users by placing the right number of scooters between the points.
• Route optimization. Artificial intelligence algorithms calculate and suggest the most efficient routes, helping drivers save time and money. They take into account current traffic conditions, road closures and provide users with appropriate notifications or alternative routes.
• Price adjustment. Business owners can adjust ride prices based on demand, time of day, and scooter availability in the area. This flexible pricing strategy ensures competitive rates for riders and increases the business’s profitability.
• Fraud protection. To safeguard your business against losses, AI detects suspicious activities such as unauthorized usage, theft, or vandalism. Whenever the system identifies such actions, it sends you notifications, allowing for prompt action such as blocking the scooter or contacting authorities if necessary.

How can AI improve the e-scooter app experience?

Artificial intelligence not only automates some important tasks for you as a business owner but also contributes to the comfort of the driver. Here’s how AI can enhance the user experience of e-scooter service through your app.

To start with, artificial intelligence is a pro tool for customizing experiences for users. By analyzing behavior patterns and usage history, the app can suggest previously traveled routes and recommend optimal ones. In addition, it can offer special discounts for milestones such as reaching 50 or 100 trips, or even on a user’s birthday, increasing their sense of personalization and loyalty to the service.

Thanks to artificial intelligence, drivers can reduce the time spent searching for parking spots. AI algorithms monitor real-time parking availability and provide timely suggestions on locations to leave the e-scooter, streamlining the parking process. Additionally, your e-scooter app can promptly notify users about instances of improper parking and assist in resolving the issue.

In addition, modern e-scooter apps ensure that people with special needs can use them without losing anything. AI-powered features make it easy for users with disabilities to get proper navigation guidance. Whether it’s providing audio prompts, adjusting display settings for better visibility, or suggesting alternative routes to solve mobility problems, AI ensures that everyone can enjoy the convenience and freedom of e-scooter travel.

What role does AI play in servicing electric scooters?

Because electric scooters often endure the harsh conditions of being left outside in the rain and sun, they are prone to breakdowns and malfunctions. Also, if the rider has an accident or mishandles the scooter, it may be damaged or require service. Here’s how AI can help in both scenarios.

In your e-scooter app, you can integrate an AI-based feature to remotely perform technical diagnostics, identifying potential issues. As soon as the e-scooter needs service, the maintenance team will receive an immediate notification along with a comprehensive problem report.

Moreover, artificial intelligence is proving to be invaluable in optimizing energy consumption. By intelligently regulating the energy supply, the electric scooter can extend battery life, as well as give tips for maximum energy efficiency.

How does AI optimize the distribution of electric scooters?

AI optimizes the distribution of electric scooters through various methods, primarily by analyzing data and making predictions to ensure efficient deployment and availability. Here’s how it typically works:

• Data collection. AI systems gather data from various sources such as GPS trackers on scooters, user app interactions, weather forecasts, traffic conditions, historical usage patterns, and events happening in the city.

• Prediction models. Using machine learning algorithms, AI systems build predictive models to forecast demand for electric scooters in different areas and at different times of the day. These models take into account factors like time of day, day of the week, local events, weather conditions, and past usage patterns.

• Optimization algorithms. AI algorithms then use these predictions to optimize the distribution of scooters. They determine where scooters should be placed, how many should be deployed to each location, and when they should be redistributed based on predicted demand.

• Dynamic adjustments. AI systems continuously adapt to changing conditions in real-time. They can dynamically adjust scooter deployment based on live data streams such as sudden spikes in demand, traffic congestion, or changes in weather patterns.

• Feedback. AI systems also incorporate feedback loops where they learn from the outcomes of their decisions. For example, if a certain area consistently experiences high demand but low scooter availability, the system will adjust its algorithms to prioritize that area in future deployments.

Can AI enhance the battery management of e-scooters?

Companies often use the power of artificial intelligence to better manage an e-scooter’s battery and thus extend its lifespan. Based on the collected data, the AI ​​predicts how soon the battery will run out. This way, business owners always know when the battery needs charging, so they replace the battery on time and never face instances where their customers get upset due to a dead e-scooter battery.

Artificial intelligence makes it easy to monitor the health of e-scooter batteries in real-time to ensure they are performing at their best. And, if you need to fix something, notify the repair team promptly.

Moreover, AI can optimize processes at e-scooter charging stations. By using AI-powered features, you can proactively identify demand, optimize power distribution in high-load scenarios, and maintain charging infrastructure more efficiently.

What are the business benefits of using AI for demand forecasting?

You can put artificial intelligence to work in your app by using its advanced capabilities in data analysis and pattern recognition. Using this technology, you can predict fluctuations in electric scooter demand accurately, which leads to some benefits:

• Improved accuracy. When you choose to forecast demand with a human, you always leave room for human error. By using artificial intelligence capabilities in your application, you can analyze more data with fewer errors. In this way, businesses minimize excess inventory or shortages, increasing overall operational efficiency.
• Real-time updates. AI-powered demand forecasting allows business owners to receive real-time updates on critical events and respond swiftly to changing market dynamics. This smart approach helps you set competitive prices and make data-driven decisions about new opportunities.
• More customer satisfaction. Accurate demand forecasting with the help of artificial intelligence ensures that companies can quickly meet customer demands. Whether it’s stocking e-scooters or aligning schedules with expected demand, companies can improve customer satisfaction by providing the right products at the right time.

How does AI contribute to the security of e-scooter rental apps?

AI contributes to the security of e-scooter rental apps by providing real-time monitoring and analysis of data collected from various sensors attached to electric scooters. In a recent study, researchers developed modules for electric scooters, including a footrest, data-collection, and accelerometer modules, to prevent accidents caused by factors like overloading and collisions with pedestrians. These modules collect data on rider behavior, such as boarding patterns and driving habits, as well as environmental factors like road conditions.

This collected data is then used to train AI models so that they can analyze the data in real-time and detect potential safety risks, such as overcrowding on scooters or driving on sidewalks. By continuously monitoring rider behavior and environmental conditions, AI can alert e-scooter rental app operators to potential safety hazards and take proactive measures to prevent accidents.

For example, if the AI detects that a scooter is being ridden by multiple passengers or is being driven on a sidewalk, it can send alerts to both the rider and the rental app operator. Additionally, AI can provide insights into the effectiveness of safety measures and help improve the design of electric scooters to make them safer for riders and pedestrians.

How does AI-powered analytics improve decision-making and strategic planning?

AI-powered analytics enhances decision-making and strategic planning by providing accurate insights, facilitating proactive actions, optimizing processes, and integrating seamlessly into existing workflows. Here is how:

• AI presents complex data sets in comprehensible formats, enabling decision-makers to gain actionable insights and identify trends, patterns, and outliers.
• AI algorithms forecast future trends and outcomes based on historical data, facilitating proactive decision-making and strategic planning by anticipating market changes, customer behavior, and potential risks.
• Decision-makers receive real-time updates on key metrics and KPIs, enabling timely responses to critical developments through automatic alerts and notifications.
• AI algorithms identify inefficiencies, automate routine tasks, and recommend optimal courses of action, improving efficiency and resource allocation by streamlining workflows.

Conclusion

In conclusion, given the information provided in this blog, it is clear that AI-powered e-scooter rental app development has enormous potential to improve user experience and optimize operational efficiency. If you want to embark on this journey, it is essential to entrust the development to an experienced team.

At TRIARE, we specialize in developing cutting-edge technology solutions including e-scooter rental apps, enriched with unique features and captivating UI/UX designs. With our extensive experience and knowledge in integrating artificial intelligence functions into such platforms, we guarantee you a successful and reliable application tailored to your specific needs.