Opportunity for local shared mobility solutions as Bird and Micromobility.com struggle to turn a profit
May 30, 2023
min. read
Shared mobility companies Bird and Micromobility.com (formerly Helbiz) stormed onto the scene by introducing innovative and convenient transportation solutions, capturing the attention of urban dwellers worldwide.
However, as the micromobility industry enters a more mature phase, companies like Bird and Micromobility.com continue to grapple with obstacles when it comes to attaining financial stability. This has prompted them to reassess their excessively ambitious expansion strategies.
What factors contribute to these challenges, and what implications does this hold for the industry as a whole? Could local micromobility ventures provide a superior solution to meet the increasing demand for these services? Let's delve further into the financial predicament of Bird and Micromobility.com to gain a better understanding.
Bird: downsizing and struggles in the stock market
Established in 2017, Bird is a micromobility company that provides electric transportation solutions in the USA and Europe. Their range of shared vehicles includes e-scooters and e-bikes. The company also sells vehicles to distributors, retailers, and direct customers. With its headquarters located in Miami, Florida, Bird currently employs 425 individuals and operates in 105 cities.
Recently, Bird's first-quarter 2023 financials revealed challenges in maintaining ridership and revenue. Despite implementing cost-cutting measures, the company's performance failed to convince investors of its ability to achieve profitability – the company's stock plummeted nearly 19% after announcing its first-quarter earnings.
In 2022, Bird faced a challenging year. The company announced plans to completely exit Germany, Sweden, and Norway, as well as wind down operations in numerous other markets, primarily small to mid-sized, across the U.S., Europe, the Middle East, and Africa. They also reduced their staff by 23%.
Despite a positive revenue increase of 12.06% in 2022, the company faced substantial losses totaling $358.74 million, marking a significant 66.9% increase compared to 2021. The challenges continued in 2023 as Bird witnessed a decline in rides and deployed vehicles. With a net loss of $44.3 million recorded at the end of Q1 2023, it’s likely that the company will continue to downsize its operations.
Micromobility.com: similar woes despite the acquisition of Wheels and rebranding
Founded in 2015 and headquartered in New York, Micromobility.com delivers micromobility services in Italy, the United States, and Singapore (43 cities in total), which include e-scooters, e-bicycles, and e-mopeds. It also operates Helbiz Kitchen, a delivery-only ghost kitchen restaurant, and the Helbiz Live streaming platform. The company currently employs 284 people.
In 2023, the company, formerly known as Helbiz, underwent a rebranding and transformed into Micromobility.com Inc. This rebranding coincided with the plans to launch retail stores across the United States.
In 2022, Micromobility.com successfully completed its acquisition of Wheels, a shared micromobility operator, along with promises to its investors that the merger would lead to a doubling of annual revenue and facilitate the path to profitability. The company set its sights on capitalizing on Wheels' extensive user base of 5 million riders and venturing into untapped markets.
Despite these hopes, Micromobility.com experienced less than stellar financial results in 2022. The company achieved a revenue of $15.54 million, indicating a 21.07% growth compared to the previous year's $12.83 million. However, the company also incurred losses amounting to -$82.07 million, reflecting a 13.3% increase compared to 2021.
In 2023, Micromobility.com announced a reverse stock split to meet Nasdaq Capital Market's minimum bid price requirement and make their common stock more attractive to investors. This move didn't come as a surprise, considering that the company received a delisting warning from Nasdaq in 2022. Coupled with its enduring track record of operating losses and negative cash flows over time, the overall outlook of the company's financial performance is rather discouraging.
Why are Bird and Micromobility.com facing financial difficulties and exiting markets?
The difficulties faced by Bird and Micromobility.com can be partly explained by their venture capital-backed business model. They witnessed swift expansion while hemorrhaging substantial amounts of money. And the more they expanded, the more money they bled. Now, it’s unsurprising to witness their heavily subsidized business models shifting their priorities from aggressive growth to mitigating losses and striving for profitability.
In recent years, there has been a surge in the popularity of shared mobility special purpose acquisition companies (SPAC). These companies are created solely for the purpose of raising capital through an initial public offering and have no commercial operations of their own. The ultimate goal of a SPAC is to acquire or merge with an existing company.
Financial struggles have become a common theme among shared mobility SPACs This can be attributed to the rush of companies going public without first establishing a sustainable business model – and Bird and Micromobility.com are no exception to this trend. The challenges faced by these companies emphasize the significance of building a strong and viable foundation prior to entering the public market.
The relentless pursuit of expansion has proven to be an ineffective strategy. For instance, some experts suggest that Bird's decision to outsource its operations to franchises made it harder to persuade cities and secure contracts. Their emphasis on breadth rather than depth resulted in a lack of understanding regarding local communities and the nuances of local legislation. As a result, major players like Bird and Micromobility.com have been withdrawing their fleets from “less profitable” cities.
The soaring shared micromobility market: a golden opportunity for local entrepreneurs
According to a McKinsey study, the shared micromobility market has the potential to reach a staggering $50 billion to $90 billion by 2030, with an estimated annual growth rate of approximately 40% between 2019 and 2030. By 2030, shared micromobility could constitute around 10% of the overall shared mobility market.
In this context, the recent financial challenges faced by Bird and Micromobility.com should not be seen as indicative of a bleak future for the entire industry. Instead, these setbacks highlight the inherent unsustainability of aggressive and expansive business models within the shared micromobility landscape.
Local operators with smaller ground teams enjoy a notable edge over companies like Bird and Micromobility.com. By focusing on underserved markets and having an intimate understanding of their communities, these operators can deliver superior service while maintaining lower costs and stable profit margins.
Returning to Bird's Q1 2023 financial report, they also reported 0.9 rides per deployed vehicle per day. Now, let's compare this figure to other operators. We conducted a survey involving two EU-based operators that make use of Atom Mobility:
- Operator 1: With a fleet of 4,000+ vehicles across over 10 cities, they recorded an average ride per vehicle of 0.9 in Q1 2023
- Operator 2: Operating in a single city with a fleet of 200 vehicles, they achieved an average ride per vehicle of 2.7 in Q1 2023
As fleet sizes increase, the average ride per vehicle tends to decrease, as seen with Operator 1 and Bird. However, the figure from Operator 2 highlights the potential for local operators to thrive in underserved cities that larger shared mobility companies may neglect.
We have seen examples of this – Go Green City, a Swiss electric moped-sharing company, presently provides its services in Zurich and Basel. Their small, tightly-knit team prioritizes local knowledge, enabling them to operate with enhanced flexibility and agility – a level of service that larger companies like Bird or Micromobility.com will find challenging to match. Overall, more than 100 projects have successfully launched their shared mobility ventures with Atom Mobility's assistance, operating in over 140 cities across the globe.
As the desire for shared micromobility services grows – with a focus on community safety and the ethical integration of these modes of transportation into the overall urban transit system – it seems that local operators have a distinct edge over large multinationals.
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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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