Recommendation Engines: benefits for both insurers and customers
The data collected from recommendation engines provides the business with valuable marketing intelligence and an improved customer experience.
A taste of telematics: ‘Try before you buy’ business model
Understandably, consumers will have reservations regarding the pros and cons of telematics. Concerns around data privacy will take precedent; so a method needs to be adopted in order to garner trust in the tech. This is one such method.
Are telematics reward systems the key to customer loyalty?
If the driver is deemed low risk, the insurer can use telematics information to reward utility vouchers, food & drinks vouchers, or even days and weekends away.
How machine learning can drive revenue for insurers
Upselling products to customers can be difficult without solid intelligence behind what to sell them. This is where machine learning comes in; and with it, recommendation engines.
Ethical robots and autonomous vehicle insurance
As driverless cars become more and more futuristic, the humble ‘robot’ will need to become more human – but without making any errors whatsoever.
