How to find profitability in the e-scooter sharing industry – a conversation with Bullride
September 8, 2022
min. read
When it comes to the future of e-scooter sharing, there are some pretty conflicting opinions out there. Some say it's the future of micromobility, others are less optimistic.
Ultimately, the success of scooter operators all depends on their ability to find profitability.
Let's be honest – this industry has higher-than-average overhead costs. The hardware itself is a major investment, and profits are further seeped by the maintenance workforce, storage, relocation costs, and new regulatory requirements that are regularly introduced.
But profitability is possible.
We spoke to Heiko Hildebrandt, co-founder of Bullride, which helps mobility companies offload their assets from their balance sheet to keep them in the black.
The state of the scooter industry – hopeful
The economy is just starting to stabilize as we exit the Covid slump and enter the new normal. How did Covid affect the micromobility sphere?
A study published in Bloomberg found that monthly ridership fell drastically in 2021, but made a comeback in 2022 when people returned to office.
Source: Bloomberg
Now, that's using US-based brands as a model.
Heiko Hildebrandt shares that the scooter operators he's worked with have experienced a similar effect:
“Corona was the greatest fuel you could pour onto the micromobility fire. During Corona times, people hardly used public transport, and most people switched to scooters. We saw two of the biggest micromobility brands in Europe, Bolt and Tier, raise record-setting VC investment at the end of 2021 – totaling 1.4B EUR – a clear sign of traction. And since Covid has ended, we've seen a 30%-40% slump in demand. So was Covid bad for business? Not according to my perspective.”
However, according to Heiko, the real challenge is to make the unit economics work. Because the question is not about whether the product is in demand. The question is does it make sense from a business perspective.
The challenges the scooter industry faces
The scooter industry, while in demand, must face challenges that directly impact their unit economics. For some businesses, it pushes them over the edge and drives them into insolvency.
By knowing what those challenges are, scooter businesses can better set up their business models to protect their profitability.
Rising hardware costs
In order for a scooter's lifetime to be profitable, it has to be in use for at least 2 seasons – some even say, for 4 years. That means that the scooter has to be durable, easily maintained, with cost-efficient replacement parts.
“Scooters are usually imported from abroad (mostly China), and shipping costs are now 8x higher than they were two years ago. The costs of electronics components are ever increasing.”
Jürgen Sahtel, Manager of the ATOM Vehicle Marketplace, agrees that the prices have gone up over the past two years.
“For example, hardware prices for the new Segway models have increased more than 40% over the last 16 months. And this trend is across all manufacturers – new scooters could be obtained starting from 650EUR and up, while more advanced models readily available in EU are priced at around 1000EUR per unit.”
The hardware is one of the biggest up-front investments that a scooter operator faces. But it's also critical to balance cost with quality, as you need to be so resilient that it can withstand public use over the course of 2-4 years.
Expanding regulation
When the e-scooter sharing industry took off, the industry was so fresh that there wasn't any regulation in place to keep it in check. It was the wild west, and operators were able to take advantage of the regulatory grey area.
Now, municipalities are starting to crack down on the industry and putting laws into place. Regulation, overall, is a good thing. However, the way it's done now shows a lack of understanding about the unit economics and its regulation that is being enacted.
“Most municipalities are limiting the size of a fleet that one scooter competitor can have. Their goal is to reduce the amount of scooter clutter on the streets. But that number is often too low to ensure what we call “natural floating” – the process of humans moving the scooters around the city. This puts a larger strain on relocation and charging teams.”
Other burdens placed on scooter brands is the stricter demarcation of allowable parking zones. This is a factor that impacts relocation teams – those responsible for bringing scooters from less popular zones back to city centers and transport hubs. Additionally, mandatory tenders with the municipality are usually offered only for one year, making planning rather difficult.
A new trend that Heiko mentions seeing from a regulatory perspective is the emergence of mandatory insurance.
“Scooters used to be classified as bikes, and thus, similarly regulated. Now, they're being reclassified as motored vehicles, which have different regulatory requirements, including mandatory insurance.”
This further skews the unit economics of each ride.
On the other hand, regulation can also play an enabling factor. Heiko shares that if tenders could be extended for, say, 3 years, it could provide scooter brands with planning stability. If municipalities limited only 2 competitors in a city, this would ensure enough demand to make the unit economics work.
Finding profitability in unlikely places – Bullride's unique business model
Heiko believes that the future lies in the shared economy. He's among the 4 co-founders of Bullride, an investment platform that shoulders the burden of the hardware investment and splits the scooter rent with the operating brand.
How does it work?
- The Bullride platform crowdfunds the costs of the initial scooter investment. These people become your investors. Instead of giving away equity (ownership) of your company, they end up “owning” one of your scooters (1 scooter = 1,000 EUR).
- The order is made into one of the top scooter manufacturers that have the best longevity – Bullride does this for you.
- You split the rental income – 55% for you, 30% for investors, 15% for Bullride.
The idea works for a number of reasons.
- You'll need money. A bank is unlikely to fund a scooter venture (because of historically low profitability), and a VC will ask for equity. This way, you get the investment, while retaining full control.
- Bullride has very specific requirements. They know what works, and what doesn't. They only work together with entrepreneurs that meet their very strict requirements. That includes entering a city that has no more than 2 competitors, and a city that has no more than 100,000 inhabitants. 30,000 is the ideal sweetspot. You also only have one employee – and that's you.
The operating brand then may use a leading vehicle-sharing platform ATOM Mobility, to fast-track their time to market. ATOM takes profitability even further with its unique pricing model. Instead of the common model of cost-per-vehicle, ATOM uses a cost-per-ride model. That means that if you have less demand (and as a result, less income) in a certain month, then you pay less for use of the ATOM platform.
But scooter sharing is just the beginning. This same model, Heiko believes, can be applied to e-bikes, e-scooters, carsharing, even wind turbines and major investments like that. Why shouldn't a community be able to jointly invest in and co-own the infrastructure that they need to live?
This is a unique model that hasn't been commonly seen elsewhere. It's more than just scooters – Bullride believes that at the heart of it, what they're doing is democratizing asset ownership.
If you're looking to launch or scale your own vehicle-sharing business, contact the ATOM Mobility team to learn more abut this opportunity.
Interested in launching your own mobility platform?
Click below to learn more or request a demo.
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Digitizing your vehicle rental business: Best apps & software for small operators
🚗📲 Whether you're renting out cars, bikes or scooters, the best rental businesses in 2025 are fully digital. No more paper contracts or office keys – just tap, unlock, and go. In our latest article, we explore top apps (like Donkey Republic, MOBY Bikes and Forest) that show what a modern rental experience looks like. Plus, we explain where a full platform like ATOM Mobility fits in when you're ready to scale.
January 28, 2026
min. read
Running a rental or sharing business today means delivering a smooth, digital-first experience. Whether you rent cars, bikes, scooters or other vehicles – users expect to book online, pay, verify identity if needed, unlock a vehicle, and ride or drive without extra friction.
To make that happen reliably, you need good vehicle rental software or platform backing your service. Below are some successful examples of apps and platforms that show how this works and what is possible.
Donkey Republic
Operates in several European cities offering shared bikes and e‑bikes. Users find a bike in the app, unlock it with a smartphone, ride, then park at a designated drop‑off spot and end the rental. Pay‑as‑you‑go, daily rates or memberships are all handled via the app.
MOBY Bikes
Targets electric bicycles and e‑cargo bikes across certain regions, with a “tap‑and‑ride” system that uses its proprietary app for booking, unlocking, and rental management. The platform supports mixed-use fleets (shared bikes, cargo bikes, delivery fleet, even B2B rentals), which illustrates flexibility – useful for operators exploring different business models beyond simple consumer rentals.
Forest
It is a dockless e‑bike sharing operator in London. It runs a large fleet and offers bike‑sharing through a mobile app. The service demonstrates how a relatively simple, dockless rental model can scale at urban level using app‑based rentals, unlocking, and flexible parking.
These examples show how micromobility‑focused services already rely on booking, payment, unlocking and fleet management tech – the same core capabilities needed by any modern vehicle rental business.
What makes these apps work – and what to borrow from them
From these operators you can observe several useful traits that a good rental/sharing software should provide:
- Seamless user journey: crate account in seconds → search → book → unlock → ride/drive → return. Users don’t need paper contracts or to meet staff to get a vehicle.
- Flexible pricing & rental models: per-minute, hourly, daily, subscription, memberships – enables both occasional users and frequent commuters.
- Smart access control and vehicle tracking: unlocking via app or smart lock, GPS tracking, drop‑off in defined zones or docking stations, helps maintain order, reduce theft, and support dockless models.
- Support for different vehicle types: from bikes to e‑bikes and cargo bikes – showing that underlying software can be agnostic to vehicle type, useful if you plan a mixed fleet.
- Scalable fleet operations and maintenance: availability updates, booking history, maintenance logs, geofencing or parking zones – these help manage many vehicles across zones without chaos.
These are exactly the kinds of features you need when you move from small‑scale operation to proper fleet business.
Why to choose ATOM Mobility
If you plan to just test the market or to operate a larger and more complex fleet - multiple vehicle types, multiple cities, or advanced operational requirements - a full-stack platform like ATOM Mobility becomes essential.
ATOM Mobility is designed for operators who need full control over the entire mobility operation: booking flows, unlocking logic, payments, KYC/ID verification, backend administration, fleet analytics, dynamic pricing, and multi-modal rentals across cars, scooters, bikes, and more.
The platform provides a unified backend that supports cars, scooters, e-bikes, mopeds, and additional vehicle types within a single system. Operators can manage bookings, payments, users, smart locks or connected vehicles, fleet health, and city-level scaling without fragmenting their tech stack as the business grows.
This approach offers far greater flexibility than single-vehicle or bike-only solutions and removes the need to migrate systems when expanding into new vehicle categories or markets. Check out the full service here.
How to choose: when to use franchising vs full platform
Join a franchising when you:
- prefer operating under an established brand
- value a clear operational playbook and central support
- want simpler marketing thanks to brand recognition
- are comfortable with limited control over technology and product decisions
- accept franchise fees or revenue sharing in exchange for convenience
- don’t need heavy customization or experimentation
Use a full platform (like ATOM Mobility) when you:
- aim to manage a larger, mixed fleet (cars, scooters, bikes, e-bikes)
- need full backend control (admin, analytics, pricing, reporting)
- require payments, KYC/ID verification, and automation built in
- want freedom to customize booking flows, pricing, and partnerships
- plan to scale across cities or add new vehicle types over time
- prioritise brand ownership and customer relationship control
- want no revenue sharing or franchise fees
There isn’t a one‑size‑fits‑all solution
For simple bike or e-bike fleets, the technology barrier is already low. Joining a franchise can be a fast way to get operations running with minimal setup.
However, operators with long-term ambitions - expanding into multiple vehicle types, scaling across locations, or maintaining consistent service quality - typically outgrow narrow tools. In those cases, a full-stack platform like ATOM Mobility offers the flexibility and control needed to support growth without rebuilding the tech foundation later.
Some operators start small and migrate as complexity increases. Others choose to build on a full platform from day one to avoid future transitions. The right choice depends on how clearly you define your growth path, desired level of control, and operational complexity from the start.
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How AI is already powering shared mobility: Real-world use cases from ATOM Mobility
📱AI in shared mobility isn’t a future trend – it’s already here, and for good. From detecting car damage to forecasting demand and verifying parking in real time, operators are using AI to reduce manual work and run more efficient fleets. In this new article, we break down 3 real use cases already live on the ATOM Mobility platform: 👁️ Vision AI, 🔍 Precision AI, 📊 Prediction AI. See how AI is changing shared mobility, and how you can start using it now.
January 21, 2026
min. read
Artificial intelligence is no longer just a trend in mobility. For modern vehicle sharing and rental services, AI is already solving real operational problems and unlocking new ways to grow. At ATOM Mobility, several AI-powered features have already been implemented into live products and tested by operators across Europe.
This article shares three real-world AI use cases that are already helping operators reduce manual work, improve asset control, and better match vehicle availability to demand.
1. Vision AI: Camera-based parking control for micromobility
Micromobility parking continues to be a challenge in cities where dockless vehicles can end up blocking sidewalks, crossings or entrances. Manual checks are costly and often too slow to solve the problem in real time.
ATOM Mobility now uses computer vision to solve this. With Vision AI, riders take a photo when ending their ride. The system analyses the image using a neural network to understand if the vehicle is parked correctly – within a designated zone and without creating obstructions. If not, the app notifies the user and prevents trip completion until the parking is corrected.Each parking photo is automatically tagged as “Good parking”, “Improvable parking” (the user receives guidance on how to improve the parking), or “Bad parking” (the user is asked to re-park).
If the user fails to submit a “Good parking” photo after several attempts, the system will accept the photo with its current tag (“Improvable” or “Bad parking”) and flag it in the dashboard for further customer support review.
This solution has been live with many operators already. It helps reduce complaints, improve compliance with city regulations, and lowers the need for manual reviews.
2. Precision AI: Detecting car rental damages with cameras and machine learning
In traditional car rental, damage inspection is slow, manual, and often inconsistent. With self-service rentals becoming more popular, operators need a smarter and faster way to verify a vehicle’s condition between trips.
ATOM Mobility has integrated AI-powered damage detection using computer vision. Customers scan the vehicle at pick-up and drop-off. The app compares images and flags scratches, dents, or other visible damage with high accuracy. This allows operators to quickly assess responsibility and reduce disputes.
The system helps protect the fleet, lowers repair costs, and adds trust for both users and operators. It’s especially useful for car sharing and self-service rental models where physical handovers are skipped.
3. Prediction AI: Forecasting demand and automating vehicle relocation
One of the biggest cost factors in shared mobility is rebalancing the fleet. If scooters or cars are idle in the wrong location, revenue is lost. At the same time, relocating vehicles manually is expensive and not always efficient.
ATOM’s AI models use historical trip data, usage trends and contextual signals (such as day of the week or weather) to forecast demand and suggest the best relocation zones. This gives operators a map of where and when to move vehicles – improving utilisation and saving time.
The system can even be combined with automated relocation logic, where users are incentivised to park in high-demand areas. This shifts part of the rebalancing cost from operators to riders and keeps the fleet productive.
Why this matters now
AI tools are finally reaching the stage where they can operate reliably, even in complex environments like cities. These examples are not abstract ideas or lab tests. They’re active features helping ourcustomers run leaner, smarter fleets today.
For micromobility operators, Vision AI reduces complaints and ensures regulatory compliance. For car rental providers, Precision AI saves hours of staff time and improves trust. And for both, Prediction AI improves margins by making sure vehicles are where users need them.
What’s up next?
These are just the first steps. AI in mobility will continue to expand with smarter pricing engines, voice-based support, predictive maintenance, and more. But the examples above already prove that even small AI integrations can bring major improvements.
At ATOM Mobility, we continue building these tools directly into our platform so that operators don’t need to develop them in-house. If you want to see how these AI-powered features work in action, get in touch with our team.
AI in shared mobility is not about replacing people. It’s about giving operators better tools to run faster, smarter, and more efficient services.
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