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Location intelligence and aerial imagery are relatively new ideas, but they are already proven to be very useful in helping insurers better understand what their customers need.

This technology uses geospatial information to give a more accurate picture of danger, going beyond simple zip code data. For example, real-time level data can help insurers figure out how likely it is that a property will flood or find infrastructure that has been updated or damaged. Putting together geospatial data with advanced analytics makes it easier for insurers to do their jobs by combining better underwriting and claims handling into a single framework.

Besides these improvements, new technologies offer something more to help insurance than just analyzing data. They allow consumers to get personalized safety advice, see changing claims visualizations, and keep an eye on risks all the time. It works out well for everyone: customers get better security and lower premiums, and insurers learn more about how their business works.

Property & casualty division

The P&C industry is about to go through a big change. Due to inflation, rising labor costs, staff shortages, and bad weather, premiums around the world are expected to rise to $10 trillion by 2030. Because of this upcoming financial milestone, insurers are putting money into new technologies like location intelligence to help them write more accurate plans. This method uses location data and pictures taken from above to see things that the human eye can’t. This gives us a complete and more correct picture of property risk, and it also encourages insurance companies to correctly price and quote property risks, which sets them up for success right from the start.

With location intelligence, insurers can control risk ahead of time to find properties that are likely to be damaged by natural disasters, crime hotspots, and other dangers. Think about flames as an example. For example, the defensible area around a property, the materials used on its roof, or the distance between buildings are all things that help insurers figure out how much risk a property is exposed to. When they have these exact insights, they can change policies, set prices and rates more accurately, and maybe even lower losses or stop them from happening. Ultimately, giving insurance accurate risk assessments leads to better customer service, more efficient operations, and higher profits in the future. More importantly, though, it becomes important for building a strong future.

Enhancing efficiency in underwriting & claims procedures

Underwriters can make sure they don’t miss any important areas by using specific location intelligence and checking to see if secondary structures change the risk criteria. Using geospatial data and aerial imagery together in this way speeds up the screening and claims management processes that are usually very slow. When underwriters learn about property risk, they learn about things like flood zones and how vulnerable the property is to bad weather like hurricanes, wildfires, and tropical storms. For example, when insurers use location intelligence, they don’t have to rely on old images and bad data to reevaluate the risk of flooding in coastal areas. After that, they can change the prices of their policies by combining current images, elevation data, and old storm records.

Also, this makes insurers work on loss control more effectively, making it an important part of the lifecycle of an insurance policy. When it’s time to renew, location intelligence can give insurance up-to-date information on properties, which makes it easy to spot any new risks. Innovative AI systems can find all of these new risks by pointing out things like property repairs, roof and property damage, and any additions or secondary buildings to properties.

Location intelligence is a very useful tool for adjusters who deal with claims. Location data can be used by adjusters to check details about an incident, like where a property is located, what features the land has, or how the weather behaves during a weather event. Insurance companies can easily compare pictures taken before and after a disaster to figure out how much damage was done and send help to the places that need it the most. This speeds up investigations, gets rid of pointless delays, and helps agreements be finalized faster in the end. It also adds a new level of openness and provides objective proof during the claims process, which is good for both the insurance and the insured.

Revolutionary technologies transforming the insurance industry & policy management

At the center of change in the insurance business are machine learning (ML) algorithms and generative AI. What do these tools have to do with location intelligence, though? One thing is that these algorithms can now quickly and accurately look at huge geospatial location records to predict possible risks. This feature makes it easier for location intelligence to make predictions. Location intelligence uses machine learning and generative AI to give real-time information about important property features like debris, roof state, and roof age.

Moving beyond traditional “one-size-fits-all” models, this process lets insurers make policies that change based on each person’s wants and habits. Moving from risk assessment to claim handling, for example, large language models (LLM) can speed up the claims process by automating the tedious tasks that come with it. A LLM can go through a portfolio and automatically take out data, which can then be put together into a full risk assessment. Because it handles administrative chores, speeds up document analysis, and makes communication with policyholders better, this automation lets insurers focus on the more strategic parts of their work. In addition, this automation increases the trust and accuracy of insurers throughout the whole lifecycle of a policy.

Nearly a trillion devices will be connected by 2025, according to experts. These technological advances are not only bringing the industry up to date; they are also changing what insurance means in a fundamental way. A change is happening from “repair and replace” to “predict and prevent” for more personalized risk management. These tech-based innovations can make insurance more useful, easier to get, and better for everyone.

There is no doubt that location intelligence is a powerful force that is shaking up the insurance business. When insurers use geographic data and advanced analytics, they not only improve their financial health, but they also make key processes run more smoothly and set a new standard for proactive, data-driven industry practices. As location intelligence and the technologies that go with it keep getting better, the insurance business will be more flexible, data-driven, and proactive in the future.