| CPC G06Q 40/08 (2013.01) [G06Q 30/0609 (2013.01); G16H 20/60 (2018.01)] | 32 Claims |
|
1. A system that implements a digital, cloud-based marketplace platform, the system comprising:
processing circuitry;
a metric simulation engine; and
a graphical user interface,
the digital platform enabling fully automated, end-to-end risk-assessment and risk-transfer processes by configuring, launching and processing of customized first-tier and/or second-tier risk-transfer products for risk-exposed consumers as first units and carriers/brokers as second units, wherein
the risk-transfer products consist of a number of structuring blocks being common basic parts and elements to configure the risk-transfer products,
different combinations of the structuring blocks provide different risk-transfer structures which define characteristics of the risk-transfer products,
an automated risk-transfer placement is provided by the digital platform in a digital environment by a first online channel comprising a parameter-driven, rule-based underwriting process for creating or participating at risk-transfer structures by a pricing and underwriting engine,
an automated claim handling is provided by the digital platform by a claim triage and handling engine as a second online channel, and
an automated accounting is provided by the digital platform by a balance sheet provision and management engine and policy administration engine as a third online channel,
the processing circuitry being configured to rate each first unit and each digital service of the digital platform by a contribution measure to a resilience score of the first units purchasing the risk-transfer products on the digital platform and benefiting from the digital services of the digital platform, the resilience score providing a measure based on a measured current health status of each first unit and/or a measured probability to purchase risk-transfer cover and/or a measured probability to start or keep behavior for improving health status, wherein measuring of the resilience score encompasses different type of risks at least comprising mortality risks and/or morbidity risks and/or longevity risks together with probability to claim for a risk-transfer benefit and/or measured evolving health status of each first unit,
the processing circuitry including;
a living object or asset model circuit configured to operate a digital twin for living object or asset associated with the first units,
sensory and measuring devices measuring and capturing of measuring data measuring risk-exposer and characteristics of a consumer unit by the sensory and measuring devices associated with a first unit,
a living object or asset description circuit configured to interpret the measured measuring parameters from the digital twin for the living object or asset, and
a living object or asset configuration circuit configured to operate an adaptive learning system, wherein the adaptive learning system is configured to dynamically adjust a living object or asset configuration based on a set of measuring parameters from the digital twin based at least in part on risk-relevant characteristics,
the processing circuitry being configured to perform a forward-looking rating of each first unit and each digital service of the digital platform by a contribution measure to a forecasted resilience score of the first units for a definable future time window for purchasing the risk-transfer products on the digital platform and benefiting from the digital services of the digital platform,
the processing circuitry being configured to measure the contribution measure to the resilience score by assessing variance of a resilience score of a first unit by changing a parameter of the first unit at least comprising adding or omitting a specific risk-transfer cover and/or triggering start or maintenance of a nutrition program,
the metric simulation engine being configured to automate prediction of forward- and backward-looking impact measures based on event parameter values of time-dependent series of occurrences of physically impacting risk-events, the occurrences of the physically impacting risk-events being measured based on predefined threshold-values of the event parameters and impacts of the physically impacting risk-events to the first unit being measured based on impact parameters associated with the first unit,
the processing circuitry being configured to perform an additional forward-looking rating of each first unit and each digital service of the digital platform by a contribution measure to a forecasted resilience score of the first units for a definable future time, and
the graphical user interface being of a portfolio analytics framework configured to provide a dynamic representation of a portfolio structure, the metric simulation engine forming an integrated part of the portfolio analytics framework, and, via the metric simulation engine, the dynamic representation of the portfolio structure provides forward- and backward-looking insights to the first unit based on the measured resilience score measure, enabling portfolio steering by identification of critical areas of the portfolio and impacts of possible changes, wherein detected changes in the resilience score triggers dynamic changes in pricing parameters of one or more risk-transfer.
|