In the last few years, e-scooters have become immensely popular as they are convenient as well as environment friendly.
And unsurprisingly, they have rapidly captured the shared micro mobility market.
In the United States, over 85,000 dockless e-scooters hit the streets in 2018.
And according to the National Association of City Transportation Officials, these e-scooters were rented for around 38.5 million trips.
Unsurprisingly, this number is significantly more than docked bicycle rides.
Though it seems that the e-scooter market is on a roll right now, the picture is not as rosy as it looks.
Firstly, there have been widespread reports of vandalism to the e-scooters.
Moreover, people have complained that e-scooters have been abandoned at the end of rides, blocking sideways and footpaths.
Not only is this annoying for pedestrians who have to step over them, it can be life-threatening especially for people who aren’t able bodied.
To add to this, the issue of charging is a pressing concern. The longer your e-scooter remains without charge, the more you have to pay charging companies to get them charged.
Fortunately, with the help of an AI driven e-scooter rental app, these issues can be circumvented.
Your rental business rests solely on your ability to control your fleet and reducing operation costs.
And an advanced AI assisted business dashboard can help you in this regard.
By analyzing customer behavior, demand forecast and external factors, you can get insights that help you make fast and smart decisions.
You can use relevant and unique performance indicators like heat maps to understand rental trends throughout the day and relocating and rebalancing your fleet accordingly.
Finding the best operational model is crucial for the micro-mobility and e-scooter rental domain.
In order to expand to new cities and tackle new markets, you will need to develop a model that does not falter from the start.
And your job becomes much easier with the help of AI.
By making use of data made available by city administrators and machine learning, you can track your fleet, usage and anticipate demands.
Moreover, you can identify potential obstacles and plan ahead.
Additionally, this allows you to optimize internal processes and devote your time to growing your business.
With the help of AI, you will have the ability to predict rider patterns.
This can help you ensure that e-scooters are available at the right locations when they are needed the most.
As the micro-mobility sector is affected by external factors like weather, traffic and holidays, you can convert these factors into data and adapt accordingly.
There’s a wide misconception among people that micro-mobility vehicles like e-scooters are not safe.
With your AI assisted e-scooter rental application, you can reduce accident risks and greatly assuage the fears of your customers.
By analyzing traffic and road conditions, your app can choose the safest route for the rider.
The app can also warn the rider if they are approaching accident prone areas as well as advise them about speed limits.
Another benefit of AI for your e-scooter rental business is that it can help you schedule repairs.
By analyzing the usage statistics of your fleet of e-scooters, your app can alert you when an e-scooter requires maintenance or needs to be charged.
This allows your fleet to be always ready to ride and conquer the streets.
Hopefully this blog has convinced you why you should consider developing an artificial intelligence powered e-scooter rental app.
If you wish to develop an e-scooter rental app chock-full of unique features and aesthetic UI/UX design, then look no further.
Idea Usher is a pioneering web-app development company with years of experience in building robust, scalable, and innovative technology solutions. Our designers, programmers and testers have previously worked on developing e-scooter rental apps with AI functionalities and bring their combined experience in developing a successful application.
Get in touch to get free quotes.
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