Are you aware that there is a fake advance payment phishing scam that is very common nowadays? Yes! It is true.
To succeed in this scam, scammers book the rides and pretend to pay in advance. Then they send fraudulent text messages that replicate bank notifications to trick drivers into returning or transferring money.
Another example of a scam that happens with the riders is offline trip pressure, wherein drivers accept the ride and then ask the rider to cancel it. Next, they promise a reasonable offline fare. However, once they get to the destination, they ask for a higher fare.
These are just a few examples of how taxi booking security can be breached by fraudsters. It also raises the point of including AI fraud detection for taxi booking apps.
The very first thing to do when you zero in on a taxi app development company is to make sure they provide strict taxi booking security.
In this write-up, we will provide you with a comprehensive take on AI fraud detection for taxi booking apps. Let us start.
What is AI Fraud Detection?
AI fraud detection is a process that takes into account artificial intelligence and machine learning to learn the growing trends of suspicious patterns, particularly in a specific industry.
The biggest advantage of AI fraud detection is that it studies newly available data and recognizes patterns that help decipher it pertaining to a specific fraud. Here, proper examination of every transaction pattern and user behavior is taken into account,
Even a subtle pattern or correlation that a human intervention may miss is identified by AI and ML with greater precision. This helps the AI-based fraud detection process ascertain fraud patterns quickly and accurately,
It is even possible for a foolproof AI fraud detection system to gauge user intent rather than simply ascertain and evade severe fraud attempts with ultimate precision.
With the advancement of technology, it has become next to impossible for a human eye to keep up with the sophistication of modern-day fraud attempts.
How Does Fraud Detection in Taxi Apps Work?
As an avid entrepreneur or owner of a fleet of taxis, it is imperative that your AI-powered taxi app has robust taxi app security. To ensure this, you need to consider AI as a valuable ally or a sidekick to your existing taxi business.
There are two main factors that help in fraud detection in Taxi apps
- Artificial intelligence
- Machine learning
Let us look at each of these two main factors individually.
The Key Role of AI Fraud Detection For Taxi Booking Apps
When it comes to the role of AI in fraud detection for taxi booking apps, it covers different aspects of the taxi journey from booking to destination.
- Prior to Commencement of the Ride – With the help of AI, you can ascertain the identity of the driver with the help of biometric checks and flag suspicious booking attempts. You can even scrutinize risk scores in the matter of seconds.
- During the Ride – Keeps an eye on the route followed by the driver to ensure GPS adherence, ascertains distracted drivers using smartphone sensors, and provides instant support in case of emergency situations.
- After the Ride Completion – AI helps in finding out any anomalies during the ride, resolves any payment disputes in a fair manner, and provides corrective training for drivers who are found to be unsafe.
The Decisive Role of Machine Learning in Fraud Detection Specifically for Taxis
Machine learning helps in determining any anomalies during the booking process so that if any discrepancy is found, it can be flagged immediately,
A prime example of that is if a rider tries to book multiple rides from the same pick-up location using different accounts, and if it is a regular pattern, it needs to get the desired attention. This is particularly important if you are running a taxi business.
Here are some examples of how machine learning helps in fraud detection in an AI taxi app.
Verifies the Identity of the Driver Through Biometric Scanning
To ensure that the driver you assigned for a particular ride is the same, it is imperative that you verify their identity. This is where the biometric scanning of a driver through fingerprint access comes into play.
Also, their photo identification is checked to confirm that the person driving is the same as the one you registered with your company.
Strict Adherence to Predictive Safety Analytics
If there is a statistic that has gained a lot of attention, it is that after continuous 8 to 10 hours of driving, drivers can get into an accident. Hence, it becomes imperative that you let the driver take scheduled breaks before accepting the next ride.
Such information can keep your riders traveling risk-free, and not a lot of load is put on the driver.
Instant Risk Scoring Algorithms
It is very easy to categorize certain rides as a risky experience, but the truth is every ride is a different experience for both the riders and the drivers. This is where the role of machine learning becomes crucial.
A prime example is when the rider books for a destination that is a crime-syndicate area; there is a risk that you may face there as a driver. Hence, it has to be flagged by the driver for additional safety checks.
Decreasing the Chances of False Positives When It Comes to Payment Frauds
There are times when a regular rider may use a different card if he is on an international trip. Hence, such cases should be considered false positives in cases of payment fraud.
Artificial intelligence has a key role to play here, as it helps in determining whether the situation is actually a false positive. At the end of the day, it is all about providing a seamless ride experience to the rider.
Driver Manipulating the Route to Increase Fares
This is a very common thing that has been observed in cab booking services. The driver accepts the ride but then disregards the GPS map and takes the cab in a different direction. This is done to collect a higher fare from the rider.
To avoid such a thing, it is important for the system to be vigilant and observe if the driver moves to a different lane from the one shown by the GPS indicator. It is even possible that the driver’s cab is stationary while GPS shows it in a moving space.
Ascertaining Distracted Driving Using Smartphone Sensors
Distracted driving is a big NO when it comes to running a taxi booking service. If you see the driver using the smartphone for longer periods during the ride, it can signal that it is time to monitor the behavior of the driver.
A gentle nudge from the voice assistants can bring them back to concentrating on riding the taxi.
Predictive Maintenance Helps in Reducing Vehicle Downtime
It is extremely crucial for your taxi business to use a vehicle that does not require abrupt maintenance during the ride. This is where predictive maintenance can come in handy.
It helps estimate the time of your vehicle downtime on the basis of fuel efficiency, sensor inputs, and engine data. This helps create a win-win situation for both the riders and the drivers.
Final Words
With the integration of smart AI, it is possible to observe the riders’ and drivers’ accounts.
If any discrepancies suggested above are found in the respective dashboard, corrective measures such as reviewing, restricting, or suspending their account can be done by the admin in real time.
Remember, the role of AI fraud detection for taxi booking apps starts by carefully scrutinizing the ratings, cancellations, and behavior patterns of the riders and drivers.
And, once it feels that you have enough evidence of behaviors that can harm your business, you can flag those riders and drivers automatically. Let AI be the frontrunner and a guiding force to ensure that your taxi booking business grows to new heights as time goes by.
To develop an AI taxi app, get in touch with V3Cube and let their talented development team ensure that you have the best AI-powered taxi app in an already flourishing taxi app market.
FAQs
What is the best development time to integrate AI fraud detection in my taxi booking app?
Once you have already decided to scale your app, it is time to consider fraud detection as core infrastructure.
What kind of data does the AI scrutinize for a taxi booking app?
Data that helps it monitor real-time GPS logs, payment velocities, histories related to cancellations, and the frequency of user logins.
How does AI deal with payment fraud in a taxi booking app?
It takes a closer look at certain transaction patterns, suspicious behaviors, and more. This helps in reducing false positives and financial losses, coupled with an increased trust factor in the payment system.
How does AI assist in preventing account takeovers in a taxi booking app?
AI helps in observing specific login behavior. In case any abnormal sign-in attempt is found, such as logging in from a new location, the user is prompted to provide two-factor authentication or even biometric verification.
How does biometric driver verification ensure the safety of your taxi booking app?
Biometric driver verification helps in determining whether the driver is the same person who was verified by your company. This is done to ensure that the identity of the driver is authentic. Riders can also trust the driver information that you provide on your taxi booking app.