How Fintech is Aiding the Insurance Sector

The adoption of new technology, which has accelerated during the COVID-19 pandemic, has significant implications for the insurance industry and its growing Millennial client base.

Karoline Gore shares her thoughts on the evolution of fintech in insurance with Finance Monthly.

The lockdown restrictions imposed in the UK this year have seen the adoption of fintech increase exponentially, according to a survey commissioned by AltFi. The insurance sector has been faced with strong competition in recent times as a number of other industries have started to offer financial solutions that can rival traditional insurance. Not only is the healthcare industry offering ‘medical memberships’ that eliminate the need for insurance, but banks are also quicker at providing loans to help remedy financial damages. It is for these reasons, among others, that operators within the insurance sector have to ensure that they have an advantage over their competition. With the aid of fintech, this goal becomes significantly easier to achieve.

Apps and digital platforms appeal to a younger clientele

As of 2018, Millennials enjoyed a greater spending power than Baby Boomers. Tapping into this segment of the market can be very fruitful as Millennials can provide business for a significantly longer period of time than older generations.  Fintech can make insurance offerings increasingly appealing to a younger, more tech-focused client base. Smartphone applications can be designed with businesses, their clients, or both in mind and can streamline traditional insurance processes considerably. Popular features of mobile applications include a policy overview section, premium calculator, and payment processing area. Many apps as well as dedicated websites also provide clients with a range of relevant reviews. If you are looking at taking out car or home appliance insurance, for instance, reviews can cover aspects such as premiums, service fees, and even cancellation policies.

Machine learning improves data utilisation

Machine learning, which is classified as a type of AI, is another form of fintech which is greatly transforming the insurance industry as we know it. In essence, it is a technology that makes it possible for a machine to ‘learn and adapt’ over a period of time. Typically, insurance operators collect substantial amounts of data on an ongoing basis. Unfortunately, only approximately 10% of the data collected is adequately utilised, rendering it almost useless to the business. Thanks to machine learning, insurance companies can put the collected data to better use. It can be used in a number of ways including fraud detection, risk modelling, underwriting, and demand modelling.

Niche products become more prevalent

Apart from smartphone applications and machine learning, there is a range of other emerging fintech solutions such as telematics, big data, and comparators that are influencing insurance in numerous ways. Thanks to these technologies, insurance companies are becoming more adept at offering niche products (that more traditional insurers won’t touch) to their clients. A good example of this is London-based Bought by Mary, who made it possible for clients with underlying medical conditions such as cancer to obtain travel insurance. Similarly, a partnership between a leading worship centre insurer in the USA and another entity resulted in the creation of an insurance product that made provision for the protection against frozen pipe leaks in low-tenure buildings.

Fintech has had a great impact on the insurance industry. Apart from improving customer service, fintech can also aid in new customer acquisition while saving the company a significant amount of money.

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