- Title : Market pricing benchmarking - How machine learning can improve reverse engineering
- Authors : Marie Hainneville, Michaël Lecuivre, Xavier Maréchal and Samuel Mahy
- Date : April 2020
- Reference : Reacfin White Paper Vol.1 2020
- Key words : Market Pricing – Benchmarking – Reverse engineering – Machine Learning – Price prediction – prediction interva
Since last decade, the insurance sector has evolved a lot. Indeed, thanks to the internet, more contracts are now subscribed online, modifying the insurance contract sales architecture. However, this rise in the use of internet has also been affecting the insurance business in another way; policyholders are now able to compare insurers’ rates easily without even going to their insurer or broker. This level of transparency leads to a competition among insurers which is now fiercer than ever. In order to help the different market players in this new environment, Reacfin has developed a framework which enables them to gain insights on the premiums offered by multiple insurance companies over different segments. This premium benchmark allows an insurer to review their positioning or a broker to identify the cheapest insurer for their client.