When a vehicle enters the recovery process, having more information can make it easier to determine the next step. To help customers gain additional visibility into qualifying recovery events, DRN is expanding Loss Alerts within DRNsights Analytics (Plus) and DRNsights Provider with new subscription enhancements that include Private Property Impound
Not every investigation begins with a complete license plate number. In many cases, investigators may only have access to partial vehicle information obtained from surveillance footage, witness statements, photographs, or incident reports. When critical details are missing, traditional search methods may provide limited results. Partial Plate Search helps address this
The DRNsights You Know. Reimagined. At DRN, we’re continually investing in ways to improve the tools our customers rely on every day. That’s why we’re excited to introduce a refreshed DRNsights experience designed to help users work more efficiently, navigate more intuitively, and access critical vehicle intelligence with greater ease.
Auto insurance claims are becoming more complex, more costly, and more exposed to fraud. Higher vehicle values, increasingly sophisticated fraud tactics, and inconsistent verification methods have placed added pressure on claims and SIU teams to make faster and more defensible decisions. For a large national auto insurer, gaining clearer visibility
This article is adapted from an earlier version published by Auriemma Roundtables. This DRN edition has been updated for our audience. The Growing Scope of the Challenge Auto insurance fraud remains one of the toughest problems confronting the U.S. insurance market. The Coalition Against Insurance Fraud estimates that fraudulent activity
For auto insurance companies, protecting their bottom line is paramount to ensure successful operations and fair premiums for their policyholders. Which is why understanding garaging misrepresentation, one of the main issues plaguing these companies and costing close to $2.9 billion*, is vital in order to craft effective strategies to combat it.
Introduction Insurance fraud has become a colossal challenge plaguing the insurance industry. According to the Coalition Against Insurance Fraud, roughly $45 billion dollars in losses happen annually in the property and casualty sector. Combatting insurance scams demands cutting-edge technologies and advanced data analysis techniques. Enter License Plate Recognition (LPR) data—a
Last month I attended the Internal Fraud Management Conference in Orlando, and had the chance to talk with insurance fraud investigators and others involved in insurance claims and other investigations. This was the first in-person conference since COVID-19, so everyone who was there was clearly ready to learn, network and
Insurance carriers use a number of data points when determining premiums on auto policies. These can include anything from age, marital status and places of residence and employment, to information about a person’s vehicle and how much they drive. Another common – but somewhat controversial – factor is credit score.
The International Association of Special Investigation Units (IASIU) held its annual conference in Orlando, in September. The event hosted industry pros to learn, collaborate and network on various topics. We found that most attendees at the conference were familiar with license plate recognition (LPR) technology and its use in investigations.
When a vehicle enters the recovery process, having more information can make it easier to determine the next step. To help customers gain additional visibility into qualifying recovery events, DRN is expanding Loss Alerts within DRNsights Analytics (Plus) and DRNsights Provider with new subscription enhancements that include Private Property Impound
Not every investigation begins with a complete license plate number. In many cases, investigators may only have access to partial vehicle information obtained from surveillance footage, witness statements, photographs, or incident reports. When critical details are missing, traditional search methods may provide limited results. Partial Plate Search helps address this
The DRNsights You Know. Reimagined. At DRN, we’re continually investing in ways to improve the tools our customers rely on every day. That’s why we’re excited to introduce a refreshed DRNsights experience designed to help users work more efficiently, navigate more intuitively, and access critical vehicle intelligence with greater ease.
Auto insurance claims are becoming more complex, more costly, and more exposed to fraud. Higher vehicle values, increasingly sophisticated fraud tactics, and inconsistent verification methods have placed added pressure on claims and SIU teams to make faster and more defensible decisions. For a large national auto insurer, gaining clearer visibility
This article is adapted from an earlier version published by Auriemma Roundtables. This DRN edition has been updated for our audience. The Growing Scope of the Challenge Auto insurance fraud remains one of the toughest problems confronting the U.S. insurance market. The Coalition Against Insurance Fraud estimates that fraudulent activity
For auto insurance companies, protecting their bottom line is paramount to ensure successful operations and fair premiums for their policyholders. Which is why understanding garaging misrepresentation, one of the main issues plaguing these companies and costing close to $2.9 billion*, is vital in order to craft effective strategies to combat it.
Introduction Insurance fraud has become a colossal challenge plaguing the insurance industry. According to the Coalition Against Insurance Fraud, roughly $45 billion dollars in losses happen annually in the property and casualty sector. Combatting insurance scams demands cutting-edge technologies and advanced data analysis techniques. Enter License Plate Recognition (LPR) data—a
Last month I attended the Internal Fraud Management Conference in Orlando, and had the chance to talk with insurance fraud investigators and others involved in insurance claims and other investigations. This was the first in-person conference since COVID-19, so everyone who was there was clearly ready to learn, network and
Insurance carriers use a number of data points when determining premiums on auto policies. These can include anything from age, marital status and places of residence and employment, to information about a person’s vehicle and how much they drive. Another common – but somewhat controversial – factor is credit score.
The International Association of Special Investigation Units (IASIU) held its annual conference in Orlando, in September. The event hosted industry pros to learn, collaborate and network on various topics. We found that most attendees at the conference were familiar with license plate recognition (LPR) technology and its use in investigations.