Prevent Insurance Fraud: Mobile Telematics Helps Improve Claims Management

How mobile telematics helps insurance companies to improve claims management

Claims fraud prevention
Car vector created by pch.vector — www.freepik.com

Smartphones changed how insurers reach customers. Digital products ship faster. The counterweight is claims fraud — staged losses, inflated files, and thin FNOL.

Why it is important

Mobile telematics is one lever against a ~$40 billion U.S. insurance-fraud problem (FBI estimate). Trip, location, and event data make staged or inflated auto claims harder to hide.

Full journey — crash detection through FNOL and settlement: how mobile telematics reimagines the insurance claims lifecycle.

Auto claims fraud is among the most common insurance losses. It ranges from misstated applications to inflated damage, staged crashes, phantom injury, and fake theft.

FBI estimates put U.S. insurance fraud above $40 billion a year — roughly $400–$700 extra premium per customer. Phone-based monitoring of location and motion makes exaggeration harder and speeds honest files.

Telematics deters fraud because the trip is already on file. Location, driving behavior, and motion are visible — so a staged or padded claim has to match the sensors.

This article covers hard vs soft fraud, why a mobile feed beats after-the-fact investigation, and how that shows up in loss ratio.

Identifying hard and soft fraud

Courts and SIU teams split auto fraud into two buckets:

  • Hard fraud: a planned fake — staged crash, fake theft, invented injury — often crime-ring work.
  • Soft (opportunistic) fraud: a real event, then exaggeration in the first 24 hours to raise the payout.

Hard fraud needs a higher bar at bind: if the book collects trip data, rings often shop elsewhere. Soft fraud needs a fast FNOL: the file is already filled from the phone, so the story has less room to drift.

A telematics SDK is the usual delivery path into the carrier or MGA app.

Claims fraud sensitivity table

Knowing that there are different types of vehicle insurance claims fraud we can form the sensitivity table. Its main goal is to show which criteria affect each kind of fraud and how.
Fraud sensitive table
The prices for insurance policies and the costs of underwriting restrictions are the basic means of control an insurance company has, but hard fraud is barely troubled by them. Being insensitive to the prices of insurance premiums means that criminals do not care about the amount of money paid to purchase insurance, because they are pursuing bigger profits than can be offered by a company as compensation. And the same with the underwriting restrictions for hard fraud. Because criminals are working with big damages that can result in big payouts, they do not care about how much money they will have to put in the first place.
But it does influence soft fraud because regular customers are interested in finding insurances that are cheap to buy and can be profitable in case of an accident. These potential clients can be turned off by the franchise factor because if the accident occurs, they want it to fully be covered by an insurance company. It is not the desire to scam that is driving them, unlike the people involved in hard fraud, it is their own will.
Sharing any data can be a determining factor for hard fraud criminals because they want to provide insurance companies or police with as little personal information as possible. Because, if their data is shared, the company can easily detect fraudulent claims and take care of them. For example, in case of a faked accident, the criminals would not want to share location, because, in fact, there is no accident as it is most probably has been falsified.
To sum it all up, criminals involved in hard fraud will buy what is easier to buy (less information to give, no transparency) at whatever cost. Customers that might attempt soft fraud want to spend less money and will hesitate less to share their data, as at first, they are not planning to commit a crime.

Mobile telematics prevents car insurance claims fraud

If rings know the vehicle and trip are logged, they are less likely to bind. That is hard-fraud avoidance.

Honest customers usually accept tracking when it is tied to a discount. After a crash, GPS and event data are already in the FNOL — so padding injury or damage is harder. That is soft-fraud control.

Datahub claims workspace
Datahub -> Claims management workspace

How mobile telematics leads to loss reduction

Therefore, we have three main factors that have a great impact on reducing the loss ratio:

1. Fraud prevention — by making data and GPS sharing obligatory, we restrain criminals from becoming our clients and attempting fraud.

2. High-risk driver detection — based on our scoring model, insurance companies are able to detect careful drivers from daredevils and raise prices for the latter.

3. Behavior modification — with rewards and the aspect of competing for the best score, it is possible to influence driving behavior to make it safer and reduce high risks of insurance claims.

An easy solution for your business

Damoov ships the stack carriers use for this: Telematics SDK, processing platform, API, Datahub for ops, and Zenroad as an open-source app to start from.

It takes less than 12 hours to add mobile telematics capabilities to any mobile application, using Telematics SDK and API services for the development of native and cross-platform apps like Flutter, ReactNative, and others. Simple integrating features are at your service to bring the telematics system to your customers through their browsers, mobiles, smartphones as soon as possible.

Customers from more than 18 countries trust our technology and have already built products using our telematics suite. We at Damoov are making it possible for companies to focus on other product development, by implementing our telematics infrastructure that can reduce R&D costs by 70% today. By changing the way customers approach usage-based insurance products, forming enough data for which usually can take up to a whole year, we can make it easier for you to develop smart driving apps, save money and time. We provide contactless mobile telematics that utilizes smartphone capabilities even in the background mode, to make sure that nothing distracts the customer from driving, and the insurance company gets all of the required data.

Frequently Askes Questions(FAQ)

How is telematics used in insurance? With Telematics motor insurance or UBI, insurance companies will understand the car owner’s risk profile based on the distance covered, the average speed of the vehicle, frequency of using the vehicle, and the overall driving skills.

This information is used to charge an appropriate premium. Can telematics increase premium? Yes. If the telematics device records that you’re regularly speeding or driving dangerously, your insurer has the right to increase your premium.

Do insurance companies check black boxes? A black box can detect a driver’s speed, location, acceleration, braking, cornering, daily mileage, and other driving habits.

Car insurance companies use the information black boxes detect to determine premiums and discounts for drivers participating in telematics insurance programs, also called usage-based insurance.

Useful links

  1. Company website: Damoov telematics platform
  2. Open-source telematics app: Damoov telematics app
  3. Telematics SDK: Damoov telematics SDK
  4. Telematics API: Damoov telematics API
  5. Developer portal: Damoov documentation
  6. Datahub: Damoov DataHub
  7. Github: Damoov SDK on GitHub

Solutions Across Mobility Industries

Purpose-built telematics capabilities for fleet, insurance, mobility, and education verticals.

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Fleet Management

Real-time location monitoring, driver safety scoring, and fleet-wide performance analytics.

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Logistics & Delivery

Trip logging, driver behavior monitoring, and real-time speed and location tracking for every delivery.

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Mobility Platforms

Driver performance metrics, trip-level behavior analysis, and live location tracking for ride and mobility services.

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Insurance

Driving behavior data for usage-based insurance, risk scoring, and claims evidence.

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Driving Schools

Student driving behavior assessment, lesson-by-lesson safety scoring, and progress tracking.

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School Transport

Real-time vehicle tracking, driver safety monitoring, and trip visibility for parents and administrators.

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Carsharing & Rentals

Vehicle location tracking, trip logs, and driver behavior monitoring for shared and rental fleets.