Natural Language Processing for regulation in insurance

With the help of a feasibility analysis, showstoppers are identified and Recommendations for action.

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Identification of data points to enable the automatic settlement of small claims

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Future reduction of the regulation time from several days to a few minutes

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Know-how transfer for the application of machine learning methods to the customer

Challenge

An international insurance group wants to check whether reported small claims are automatically settled immediately can. Information is available on the policyholder, contract and damage in a structured format. Additionally Damage descriptions available as text. Standardised Expert reports are available as PDF documents before.

Solution

In close cooperation with the specialist departments modelling approaches are created. The damage descriptions are Processed with modern Natural Language Processing approaches. The training of models for the classification of damage takes place on the basis of the structured data and the processed Depictions. Gaps in the technical data mapping of the regulatory process are identified.

Result

A catalogue of 26 data points to be collected has been compiled, which for the settlement of small claims are necessary. For the A design has been created for an online registration process that can be automated. Through the implementation of automation, the Regulation period in future from several days to a few minutes be reduced.

Are you interested in your own use cases?

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

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