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Determining the price of a building insurance

Use Case

Determining the price of a building insurance

The optimum price of a building insurance can be determined by the customer specifying the address of a building, for example, and any existing pictures of the customer.



The price of a building insurance depends on the location, type of building, number of floors and other factors. When analyzing the price, the customer's address is requested.



With the customer's address, the location and house are analyzed with satellite images and pictures of the customer and checked for pre-defined factors (number of floors, type of building, etc.).



The algorithm checks the properties of the house and generates the optimal price for this building. This price can be used, for example, to optimize the offers in price comparison pages.

More Use Cases

Handwritten documents can be read out and prefilled using machine learning algorithms. By further input, these documents can be edited again, which again benefits the accuracy of the algorithm.

Electronic patient records can be evaluated using machine learning algorithms. This automatically provides doctors with suggestions for diagnoses and therapy options.

Diagnostic suggestions can be made by analyzing X-ray or MRI images using an algorithm.

Companies working with thousands of customers and suppliers need to categorize their documents so that requests can be handled in time.

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