Earlier quoted context omitted.
I'm tangentially involved in the insurance space and I believe Lemonade is trying to use machine learning to process claims because: - Processing claims with humans is expensive; every step that can be accomplished by a computer will probably be cheaper. - A claim processed via ML will probably be handled fast. A fast response = happy customer, which helps with retention. This is a big one. - A claim that is processe…
Depending on your perspective of "ML", the insurance industry already uses "ML" (i.e. very complicated decision trees) to process claims. Very few large insurance companies are non-automated in claims processing. The places where the money hides, so to speak, include (1) handling complex cases [customers] (2) scaling a human's ability to process non-automatable settlements. (3) scaling internal support interactions w…
I’d say customer acquisition is the biggest cost and insurance companies are terrible at it because differentiation is almost impossible in a price driven by extreme price war.
It’s not uncommon that 30-50% of your travel insurance premiums are going to a broker or price comparison website. Talking about great value.
It’s not as sexy as ML in claims but one of the big innovations Lemonade has developed is looking like the anti-insurer and creating a huge PR machine around that. True or not, it worked.