Seguros

German insurer finds competitive edge in data and algorithms

We created the perfect match between data, machine learning and artificial intelligence, generating a direct impact on EBITDA of 13%

20%

For theft and robbery risk, Zoox models improve assertiveness by up to 20% in lower and higher risk segments

13%

direct impact on EBITDA by 13%

Challenge

The insurance company hired Zoox because it had difficulties understanding the customer’s behavior to make the most accurate and competitive quotation for different types of insurance (car, property, home and others).
There was also the difficulty of cross-selling and up-selling insurance, as well as the lack of a structured database that could help define the best communication approach for different groups of clients and prospects.

Solution

For a major German insurance company, we created the perfect match between data, machine learning and artificial intelligence. Zoox offers intelligent, automated, statistical models with a high level of value and assertiveness. It is possible to segment customers at various risk levels, under different aspects and with an extensive range of variables.
We accelerate the process of building the models and analyzing the data with the Zoox Eye platform – which permeates from the foundation of the Data Lake to the generation of insights through predictive models.

Result

20%

For theft and robbery risk, Zoox models improve assertiveness by up to 20% in lower and higher risk segments

13%

direct impact on EBITDA by 13%

cross-reference

We cross-reference internal and partner data, including, for example: data from the entire auto insurance market census data individual and company registration data consumption and behavior profiles in addition to geographic indicators of economic activity