How AI is Shaping the Future of eScooter Rental Apps?

In the last decade, micromobility has taken over the market due to increasing traffic and an incline towards environmental protection.

Along with this, technology brought a revolution. In every industry, it is making the task simple for businesses to engage their users effectively.

eScooter rental apps are not far from it. Automation has provided the biggest benefit to the sector through collecting and analyzing data for enhancing the way drivers interact with the scooters.

Do you have an eScooter app and are eager to know more about AI implementation in it?

Well, you can find it all in this blog. Starting from the current eScooter market, the use of AI, its role and cost to implement it, we will discuss it with you.

Let’s start the ride.

The Booming eScooter Rental Business Market

Before we head to the role and use of AI, you must know the current environment of eScooter apps.

According to eScooter statistics, the following points can be considered.

• The revenue of the eScooter market worldwide is projected to reach US $1,929 million by the year 2024.
• The number of users in the market is expected to rise to 107.40 million users by the year 2029.
• eScooter market is predicted to display a remarkable growth of US $730. 20 million in 2024 within the United States.
• Asia-Pacific region is taken over by eScooters apps, where the largest share of 66.4% was registered in the year 2022.
• Within the United States, the total number of users is expected to be 30.89 million by 2029.

With this data, it can stated that the eScooter sharing app market is growing and expected to expand further in the coming years.

Now, let’s learn about why use AI in eScooter apps.

Why Use AI in eScooter Apps?

Well, the growing market can be a major reason to go with the current trends in eScooter apps, isn’t it?

You can check out the other important reasons to use artificial intelligence in e-scooter apps, here.

1. Increases User Experiences

AI can be helpful to track the user behavior that makes their journey more efficient as well as enjoyable.

Artificial Intelligence is designed to monitor real-time parking availability by providing timely suggestions related to locations.

It is helpful for people with special needs, by adjusting display settings and providing audio prompts.

2. Enhances App Optimization

Through AI algorithms, massive amounts of data can be utilized to provide real-time information. Businesses can make unbiased suggestions for utilizing the materials and workforce.

AI-powered optimizations can speed up processes, decrease latency, and well as useful to increase the overall efficiency of the eScooter sharing apps.

Assigning resources based on the patterns of use and prioritizing the tasks is one of the important benefits businesses can get through adopting AI. This will help in app performance optimization and to retain users in longrun.

3. Helps to Save Costs

AI can help drivers to save time and money by suggesting the most efficient routes. This feature can take into account the current traffic conditions, road blockages, and more.

Along with this, it can assist you in adopting predictive app maintenance by optimizing the fleet management systems.

AI-enabled electric scooter apps are designed to reduce maintenance costs by optimizing operations.

4. Improves User’s Safety

AI is helpful to companies by providing them with effective eScooter app features that guarantee users’ safety.

Providing real-time monitoring as well as analyzing the data from sensors in eScooters, helps to ensure that the next eScooter ride is safe for the users.

AI helps users to show the pedestrian routes by availing them of the shortest way to reach their destination without hurting them.

5. Helps to Achieve Sustainable Goals

Micromobility vehicles completely align with sustainability and one of the major goals is to protect the environment and climate.

AI in eScooter rental apps is designed to achieve environmental sustainability goals through analyzing data as well as by ensuring deployment and availability.

Artificial intelligence helps in achieving green app maintenance goals by making informed decisions.

6. Provides Competitive Edge

Don’t you want to stand out your eScooter app among competitors?

Well, then implementing AI in eScooter apps should be your next decision. Adopting recent technologies can help in business expansion and capturing a large market.

Providing users a feature of their benefit can increase their relations with the business which results in improving the competitive spirit of the brand.

Well, are you still confused about using AI in the eScooter app?

Then a discussion over its role can help. Let’s check out the next section for the same.

Role of Artificial Intelligence in e-Scooter Apps

The implementation of AI in electric scooter rental apps can be a difficult and cost-consuming task, right?

Hence, we understand that it requires twice thinking over the aspect.

Let’s look at the role of artificial intelligence in eScooter apps to clarify its usage.

• Fleet Management

Fleet management assists in streamlining data management and is useful to prevent problems that enable collaborative monitoring.

AI is used in route optimization, as well as planning the traffic patterns that help to increase user satisfaction.

Through AI-powered video telematics, fleet managers can recognize the areas for improvements that may help in saving the cost of maintaining e-scooters.

• Provides User Personalization

AI in eScooter sharing apps helps to enable capabilities including speech recognition, predictive analytics, and chatbots.

This type of personalization within the eScooter apps can assist in increasing user preferences that help the brands maintain positive relations with them.

Artificial intelligence helps in dynamic adjustments by making the content match with that of individual interests as well as behaviors.

• Useful in Demand Forecasting

You can put artificial intelligence to work by utilizing the advanced capabilities within the data analysis as well as the pattern recognition process.

Demand forecasting is useful for leaving no room for any errors in analyzing data and using it to increase user personalization.

AI-powered demand forecasting patterns assist businesses in receiving real-time updates related to market changes.

• Helpful to Enhance Battery System

The brand uses the power of AI to manage eScooter’s battery status which expands the lifespan of vehicles.

AI is effective in collecting data that assist the brand in analyzing when the battery will run out.

Artificial intelligence makes it so easy to monitor the health of eScooter batteries in real-time to ensure that they perform at their best.

• Improves Decision-Making and Strategic Planning

AI-powered analytics are designed to improve decision-making as well as strategic planning by providing accurate insights as well as optimizing processes.

Artificial intelligence is utilized to forecast future trends as well as outcomes that are completely based on historical data.

The Decision-Makers can receive real-time updates on the key metrics that can help them to respond timely to automatic alerts as well as notifications.

• Helps to Optimize e-Scooters Distributions

AI systems help to gather data from different sources including GPS trackers over scooters. It also helps with traffic conditions, historical usage patterns as well as events in the city.

The AI systems continuously help in adopting the changing environment conditions. Businesses can dynamically adjust with the eScooter deployment that is based on live data streams.

AI algorithms are designed to identify where the eScooters should be placed and how many of them are required to be deployed in the selected area.

• Contributes to the eScooter Security

AI improves the eScooter security by availing real-time monitoring as well as data analysis patterns.

The data gathered from AI is used to train the models so that they can analyze the real-time data and may detect the potential safety risks within the overcrowding places.

The major role of AI is to regularly monitor the rider’s behavior as well as environmental conditions.

• Assist to Identify Danger

The use of AI in eScooter apps can help users identify risks and dangers on the road while riding. Thus, the implementation of AI can help in reducing accidental risks.

It can help first-time eScooter app users choose the safest route for the rider. AI helps in analyzing the traffic and road conditions, as well as alerting the rider.

AI within the eScooters is designed to warn the riders related to accident-prone zones, battery level, and speed limit.

These are some of the roles of AI in electric scooter apps that you should consider implementing.

Well, if you are ready to implement AI in eScooter apps, let’s discuss certain cost figures in the next section.

What is the Cost to Implement AI in eScooter Apps?

Till now, we discussed the reasons and functions of using artificial intelligence within eScooter apps.

Now, let’s come forward to “How much will it cost to implement AI in eScooter apps?”

When you start an eScooter business, cost is the foremost resource that might have bothered you, right?

Implementation of AI in the starting of an e-scooter business can impact the cost of developing an eScooter app. However, if you wish to add AI in the next update of your eScooter app, it can cost you an extra.

Well, the estimated cost to implement AI in eScooter apps can vary from $20,000 to $50,000, based on the size complexity, design, and functionality of the app.

Are you ready to implement AI in eScooter apps?

Then, you must find a team. Let’s help you through this.

How Can Nimble AppGenie Help in Developing eScooter Apps?

A team with skilled employees can assist you in deciding the use of AI in an electric scooter-sharing app.

You don’t need to go anywhere to look for an experienced team.

Nimble AppGenie can assist you here. Our team knows well the implementation of AI and its different versions to improve the functionality of your eScooter app.

We understand that upgrading an app with the latest features can increase the app’s sustainability in the market. However, implementing this feature can be costly but not in the hands of the right experts.

We are the best eScooter App Development Company focused on delivering value to our clients.

Conclusion

Artificial intelligence is the current trend in the market and running after it can improve your eScooter app’s existence in the market. With the growing number of users of the eScooter sharing app, it is an opportunity to capture the market.

There are multiple reasons to implement AI in eScooter apps, such as increasing user experience, enhancing app optimization, saving costs, providing a competitive edge, and helping to achieve sustainable goals.

Apart from these reasons, there are roles of AI that may increase the overall app’s functionality. These roles comprise fleet management, demand forecasting, strategic planning, e-scooter distribution, and others. Estimation of the right cost to implement AI depends on factors such as complexity, design, etc.

FAQs

Niketan Sharma

Niketan Sharma is the CTO of Nimble AppGenie, a prominent website and mobile app development company in the USA that is delivering excellence with a commitment to boosting business growth & maximizing customer satisfaction. He is a highly motivated individual who helps SMEs and startups grow in this dynamic market with the latest technology and innovation.