How Captur’s AI-powered photo reviews lessen the burden of parking compliance for micromobility operators
July 11, 2023
min. read
Micromobility is transforming urban transportation, offering convenient, affordable, and eco-friendly alternatives to traditional modes of commuting. However, with the rising popularity of e-scooters, bikes, and other micro-vehicles, there are also growing demands from cities to ensure compliance with road regulations.
One of the biggest challenges that micromobility operators face is parking compliance.
It's a never-ending challenge to ensure that scooters are parked correctly and in designated areas without obstructing public spaces and other road users. Noncompliance can lead not only to penalties but even drastic measures such as banning micromobility solutions in certain locations for good.
The old way of keeping track of parking compliance – ineffective
In order to control compliance with parking rules, users are usually asked to upload a picture of the vehicle after each trip. These pictures are then manually reviewed to identify bad parking situations, then send the user either some educational materials or, in other cases, a warning.
The problem?
Such manual photo reviewing is extremely time-consuming and inefficient. Identifying and locating badly parked vehicles can take up to several days. By the time the wrongly parked vehicle is located, the operator may have already received a fine.
Besides, it's a missed opportunity for the operator to effectively educate their customer – if the user receives a reprimand or some educational materials several days after the incident, it may not be efficient. These messages can get ignored, as the customer has probably already forgotten the particular situation.
This is where Captur.ai comes in.
Real-time, automated photo reviews with Captur.ai
Captur.ai is an AI-powered solution for real-time image analysis to help micromobility operators ensure parking compliance. The company already works with some of the leading mobility operators across the globe.
For ATOM Mobility users, Captur.ai's solution is now available as an in-app integration. Here's how it works:
When a user takes a photo at the end of the ride, ATOM Mobility sends it to Captur.ai, which uses AI to analyze it. Within 3-5 seconds, the user receives feedback on whether the vehicle is parked correctly or not.
If the algorithm detects that the scooter is parked badly, the image is blurred, or the vehicle is not clearly visible in the photo, the option to finish the ride is disabled. The user is asked to repark and/or retake the photo.
Users are given three attempts to submit a satisfactory photo, or the fourth attempt is approved automatically. Then, the last photo is sent to the customer's dashboard, marked as either good parking, bad parking, or improvable parking. Thanks to this categorization, operators can quickly notice and identify improperly parked vehicles and take action.
“The first impression? Captur.ai works great, and it's a fantastic timesaver,” says Holger Ollema, founder of Hoog Mobility.
The key benefits of Captur.ai for micromobility operators
The benefits of Captur.ai's AI-powered photo reviews are manifold, but mainly they're about reducing operational costs, growing the business, and providing better service to customers.
Save time and reduce costs
Time is money. Thus, effective automation of manual work can significantly affect the company's bottom line.
With Captur.ai, micromobility operators no longer need to manually inspect every parked vehicle for compliance. Clients already working with Captur.ai say they've been able to automate 95% of previously outsourced manual work, saving hours of their time.
This is especially important for those just starting out. As a new business owner, you might be extra cautious when it comes to expenses. By automating parking compliance monitoring, you can keep money in the company without increasing your workload.
Launch your business in new cities with ease
Despite the fact that studies show just 1.1% of e-scooters violate parking regulations, concerns about compliant vehicle parking are one of the key reasons why cities delay or ban the entry of new micromobility solutions.
Ensuring parking compliance is something ATOM Mobility + Captur.ai takes care of from day one. This argument may alleviate concerns for municipalities when granting permits to new micromobility solutions.
In fact, operators already using Captur.ai say this solution has made it easier for them to expand their businesses to new cities and markets.
Improve user experience and brand image
Improperly parked e-scooters that block sidewalks or roads are one of the key reasons why other road users may have negative attitudes toward them. According to research, if negative attitudes towards e-scooters are formed, it may impact the person's willingness to ever try and use one. This means losing potential customers – and profits.
Captur.ai provides e-scooter users with real-time feedback and educational content to improve their parking habits. In fact, Captur.ai reduces the time needed to provide customers with feedback by 10x, ensuring that the number of scooters on the streets that are parked improperly is minimized.
What does this mean for your brand? An opportunity to create an image of a responsible and safe brand. This may help you attract new customers and boost existing customers' loyalty.
Less headache, more room for growth
Forget shifting manually through thousands of photos to detect bad parking – this can now be done automatically thanks to the Captur.ai AI-powered solution.
For ATOM Mobility users, this integration offers an effective solution to the pressing problem of parking compliance. That's one less thing micromobility operators need to worry about when starting or expanding their business.
Interested in launching your own mobility platform?
Click below to learn more or request a demo.
Blog
Unmet demand heatmap: Turn missed searches into measurable revenue growth
📉 Every unmet search is lost revenue. The unmet demand heatmap shows where users actively searched for vehicles but none were available - giving operators clear, search-based demand signals to rebalance fleets 🚚, improve conversions 📈, and grow smarter 🧠.
February 17, 2026
min. read
Fleet operators don’t lose revenue because of lack of demand - they lose it because demand appears in the wrong place at the wrong time. That’s exactly the problem the Unmet demand heatmap solves.
This new analytics layer from ATOM Mobility shows where users actively searched for vehicles but couldn’t find any within reach. Not guesses. Not assumptions. Real, proven demand currently left on the table.
What is the unmet demand heatmap?
The unmet demand heatmap highlights locations where:
- A user opened the app
- Actively searched for available vehicles
- No vehicle was found within the defined search radius
In other words: high-intent users who wanted to ride, but couldn’t. Unlike generic “app open” data, unmet demand is recorded only when a real vehicle search happens, making this one of the most actionable datasets for operators.
Why unmet demand is more valuable than app opens
Many analytics tools track where users open the app (ATOM Mobility provides this data too). That’s useful - but incomplete. Unmet demand answers a much stronger question:
Where did users try to ride and failed? That difference matters.
Unmet demand data is:
✅ Intent-driven (search-based, not passive)
✅ Directly tied to lost revenue
✅ Immediately actionable for rebalancing and expansion
✅ Credible for discussions with cities and partners
How it works
Here’s how the logic is implemented under the hood:
1. Search-based trigger. Unmet demand is recorded only when a user performs a vehicle search. No search = no data point.
2. Distance threshold. If no vehicle is available within 1,000 meters, unmet demand is logged.
- The radius can be customized per operator
- Adaptable for dense cities vs. suburban or rural areas
3. Shared + private fleet support. The feature tracks unmet demand for:
- Shared fleets
- Private / restricted fleets (e.g. corporate, residential, campus)
This gives operators a full picture across all use cases.
4. GPS validation. Data is collected only when:
- GPS is enabled
- Location data is successfully received
This ensures accuracy and avoids noise.
Smart data optimization (no inflated demand)
To prevent multiple searches from the same user artificially inflating demand, the system applies intelligent filtering:
- After a location is stored, a 30-minute cooldown is activated
- If the same user searches again within 30 minutes And within 100 meters of the previous location → the record is skipped
- After 30 minutes, a new record is stored - even if the location is unchanged
Result: clean, realistic demand signals, not spammy heatmaps.
Why this matters for operators
📈 Increase revenue
Unmet demand shows exactly where vehicles are missing allowing you to:
- Rebalance fleets faster
- Expand into proven demand zones
- Reduce failed searches and lost rides
🚚 Smarter rebalancing
Instead of guessing where to move vehicles, teams can prioritize:
- High-intent demand hotspots
- Time-based demand patterns
- Areas with repeated unmet searches
🏙 Stronger city conversations
Unmet demand heatmaps are powerful evidence for:
- Permit negotiations
- Zone expansions
- Infrastructure requests
- Data-backed urban planning discussions
📊 Higher conversion rates
Placing vehicles where users actually search improves:
- Search → ride conversion
- User satisfaction
- Retention over time
Built for real operational use
The new unmet demand heatmap is designed to work alongside other analytics layers, including:
- Popular routes heatmap
- Open app heatmap
- Start & end locations heatmap
Operators can also:
- Toggle zone visibility across heatmaps
- Adjust time periods (performance-optimized)
- Combine insights for strategic fleet planning
From missed demand to competitive advantage
Every unmet search is a signal. Every signal is a potential ride. Every ride is revenue. With the unmet demand heatmap, operators stop guessing and start placing vehicles exactly where demand already exists.
👉 If you want to see how unmet demand can unlock growth for your fleet, book a demo with ATOM Mobility and explore how advanced heatmaps turn data into decisions.
Blog
🚀 New feature alert: Web-booker for ride-hailing and taxi operations
🚕 Web-booker is a lightweight ride-hail widget that lets users book rides directly from a website or mobile browser - no app install required. It reduces booking friction, supports hotel and partner demand, and keeps every ride fully synced with the taxi operator’s app and dashboard.
February 9, 2026
min. read
What if ordering a taxi was as easy as booking a room or clicking “Reserve table” on a website?
Meet Web-booker - a lightweight ride-hail booking widget that lets users request a cab directly from a website, without installing or opening the mobile app.
Perfect for hotels, business centers, event venues, airports, and corporate partners.
👉 Live demo: https://app.atommobility.com/taxi-widget
What is Web-booker?
Web-booker is a browser-based ride-hail widget that operators can embed or link to from any website.
The booking happens on the web, but the ride is fully synchronized with the mobile app and operator dashboard.
How it works (simple by design)
No redirects. No app-store friction. No lost users.
- Client places a button or link on their website
- Clicking it opens a new window with the ride-hail widget
- The widget is branded, localized, and connected directly to the operator’s system
- Booking instantly appears in the dashboard and mobile app
Key capabilities operators care about
🎨 Branded & consistent
- Widget color automatically matches the client’s app branding
- Feels like a natural extension of the operator’s ecosystem
- Fully responsive and optimized for mobile browsers, so users can book a ride directly from their phone without installing the app
📱 App growth built in
- QR code and App Store / Google Play links shown directly in the widget
- Smooth upgrade path from web → app
⏱️ Booking flexibility
- Users can request a ride immediately or schedule a ride for a future date and time
- Works the same way across web, mobile browser, and app
- Scheduled bookings are fully synchronized with the operator dashboard and mobile app
🔄 Fully synced ecosystem
- Country code auto-selected based on user location
- Book via web → see the ride in the app (same user credentials)
- Dashboard receives booking data instantly
- Every booking is tagged with Source:
- App
- Web (dashboard bookings)
- Booker (website widget)
- API
🔐 Clean & secure session handling
- User is logged out automatically when leaving the page
- No persistent browser sessions
💵 Payments logic
- New users: cash only
- Existing users: can choose saved payment methods
- If cash is not enabled → clear message prompts booking via the app
This keeps fraud low while preserving conversion.
✅ Default rollout
- Enabled by default for all ride-hail merchants
- No extra setup required
- Operators decide where and how to use it (hotel partners, landing pages, QR posters, etc.)
Why this matters in practice
Web-booker addresses one of the most common friction points in ride-hailing: users who need a ride now but are not willing to download an app first. By allowing bookings directly from a website, operators can capture high-intent demand at the exact moment it occurs - whether that is on a hotel website, an event page, or a partner landing page.
At the same time, Web-booker makes partnerships with hotels and venues significantly easier. Instead of complex integrations or manual ordering flows, partners can simply place a button or link and immediately enable ride ordering for their guests. Importantly, this approach does not block long-term app growth. The booking flow still promotes the mobile app through QR codes and store links, allowing operators to convert web users into app users over time - without forcing the install upfront.
Web-booker is not designed to replace the mobile app. It extends the acquisition funnel by adding a low-friction entry point, while keeping all bookings fully synchronized with the operator’s app and dashboard.
👉 Try the demo
https://app.atommobility.com/taxi-widget
Want to explore a ride-hail or taxi solution for your business - or migrate to a more flexible platform? Visit: https://www.atommobility.com/products/ride-hailing
Driver App demo credentials - Email: test@atom.com, Password: driver
