Patent Issued for Data processing systems with machine learning engines for dynamically generating risk index dashboards (USPTO 11449950): Allstate Insurance Company

2022 OCT 07 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- A patent by the inventors Chintakindi, Sunil (Menlo Park, CA, US), Hayes, Howard (Glencoe, IL, US), Stroila, Matei (Chicago, IL, US), filed on February 19, 2021, was published online on September 20, 2022, according to news reporting originating from Alexandria, Virginia, by NewsRx correspondents.

Patent number 11449950 is assigned to Allstate Insurance Company (Northbrook, Illinois, United States).

The following quote was obtained by the news editors from the background information supplied by the inventors: “Insurance policies are generally purchased by customers from various insurance providers. Conventional policies generally provide coverage to the user for a term of the policy based on payment of a premium associated with the policy. Such term based policies might not account for factors such as customer behaviors, environmental conditions, biometric information, or the like. Rather, coverage may be provided for the term, regardless of such factors.

“Many devices include sensors and internal computer systems designed to monitor, store and transmit various types of data, such as biometric data, health data, vehicle data, environmental conditions, digital information, property condition data, and the like. Many devices also include one or more communication systems designed to send and receive information from inside or outside the device. Such information can include various types of additional, related data.

“Despite advances in various technologies, however, it may be difficult to effectively identify and evaluate various risks associated with a user and to present such risks to a user in an easy to understand and interactive format. Such effective identification and presentation may be hampered by lack of tools to cohesively collect a wide range of information from many different sources.”

In addition to the background information obtained for this patent, NewsRx journalists also obtained the inventors’ summary information for this patent: “In light of the foregoing background, the following presents a simplified summary of the present disclosure in order to provide a basic understanding of some aspects of the invention. This summary is not an extensive overview of the invention. It is not intended to identify key or critical elements of the invention or to delineate the scope of the invention. The following summary merely presents some concepts of the invention in a simplified form as a prelude to the more detailed description provided below.

“Aspects of the disclosure address one or more of the issues mentioned above by disclosing methods, computer readable storage media, software, systems, and apparatuses for determining one or more risk indices associated with a user and displaying the risk indices in an interactive dashboard on one or more display devices. In particular, based on collected information from a plurality of sources associated with a user account, one or more risk indices may be determined. Accordingly, based on the collected information, one or more risk indices may be identified, calculated, and/or determined.

“Advantageous solutions to the problems presented above, and other issues which will be apparent upon the reading of the present disclosure, may be to provide an apparatus that includes one or more processors, and memory storing instructions that, when executed by the one or more processors, cause the apparatus to receive, from a plurality of risk information sources, risk information associated with a user account, wherein the risk information includes a plurality of risk components, determine, for each of the plurality of risk components, an impact score and a risk probability by applying a machine learning model to risk information associated with the user account, generate an interactive risk index dashboard including a plurality of interactive risk index elements, wherein each of the plurality of interactive risk index elements is associated with a risk component of the plurality of risk components, and display, on the display of the apparatus, the interactive risk index dashboard, wherein each of the plurality of interactive risk index elements is displayed in a portion of the interactive risk index dashboard in accordance with a respective determined impact score and risk probability.

“In some aspects, the memory may store additional computer-readable instructions that, when executed by the one or more processors, further cause the apparatus to receive a user interaction with a portion of the interactive risk index dashboard, and, display additional information associated with the portion of the interactive risk index dashboard based on the user interaction.

“In some aspects, the plurality of interactive risk index elements may be displayed in a grid format in the interactive risk index dashboard, wherein a first axis in the grid format displays the impact score and a second axis in the grid format displays the risk probability.”

The claims supplied by the inventors are:

“1. An apparatus comprising: a display; one or more processors; and memory storing computer-readable instructions that, when executed by the one or more processors, cause the apparatus to: receive, from a plurality of risk information sources including sensors, risk information associated with a user account, wherein the risk information includes a plurality of risk components including telematics data from one or more of the sensors; determine, for each of the plurality of risk components, an impact score and a risk probability by applying a machine learning model to risk information associated with the user account; generate an interactive risk index dashboard including a plurality of interactive risk index elements, wherein each of the plurality of interactive risk index elements is associated with a risk component of the plurality of risk components; display, on the display of the apparatus, the interactive risk index dashboard, wherein each of the plurality of interactive risk index elements is displayed in a portion of the interactive risk index dashboard in accordance with a respective determined impact score and risk probability, receive real-time or near real-time risk information changes in at least one of driving behavior or environmental conditions from the sensors; and dynamically change the interactive risk index dashboard based on at least one of a changed impact score or a changed risk probability applied by the machine learning model to the real-time or near real-time risk information changes.

“2. The apparatus of claim 1, wherein the memory stores additional computer-readable instructions that, when executed by the one or more processors, further cause the apparatus to: receive a user interaction with a portion of the interactive risk index dashboard; and based on the user interaction, display additional information associated with the portion of the interactive risk index dashboard.

“3. The apparatus of claim 1, wherein the plurality of interactive risk index elements is displayed in a grid format in the interactive risk index dashboard.

“4. The apparatus of claim 1, wherein each of the plurality of interactive risk index elements includes one or more components of additional information, and wherein the one or more components of additional information are displayed with a respective interactive risk index element or are provided in a sub-display of the interactive risk index dashboard upon a user interaction with a respective interactive risk index element.

“5. The apparatus of claim 4, wherein the one or more components of additional information include at least one of: a descriptor, a categorical indicator, a risk coding indicator, or a risk reduction recommendation.

“6. The apparatus of claim 1, wherein the memory stores additional computer-readable instructions that, when executed by the one or more processors, further cause the apparatus to: determine a total risk index based on the plurality of risk components; and display, in a portion of the interactive risk index dashboard, the total risk index.

“7. The apparatus of claim 1, wherein the memory stores additional computer-readable instructions that, when executed by the one or more processors, further cause the apparatus to: display a user prompt requesting additional risk information associated with the user account; receive user input providing the requested additional risk information; and update at least one of the plurality of interactive risk index elements in the interactive risk index dashboard in accordance with the received user input.

“8. The apparatus of claim 1, wherein the memory stores additional computer-readable instructions that, when executed by the one or more processors, further cause the apparatus to: determine a confidence level for each of the plurality of risk components, wherein the confidence level relates to a reliability of an associated risk information source.

“9. The apparatus of claim 1, wherein the memory stores additional computer-readable instructions that, when executed by the one or more processors, further cause the apparatus to: calculate a projected risk probability of a future risk occurrence based on at least one of the plurality of risk components.

“10. The apparatus of claim 1, wherein the memory stores additional computer-readable instructions that, when executed by the one or more processors, further cause the apparatus to: generate a first offer for a risk index-based insurance policy based on at least one of the plurality of risk components and current information associated with the at least one of the plurality of risk components; and generate a second offer for a risk index-based insurance policy based on the at least one of the plurality of risk components and based on the user completing a risk reduction recommendation associated with the at least one of the plurality of risk components, wherein the first offer, the second offer, and the risk reduction recommendation are displayed with a respective interactive risk index element or are provided in a sub-display of the interactive risk index dashboard upon a user interaction with a respective interactive risk index element.

“11. A method comprising: receiving, from a plurality of risk information sources including sensors, risk information associated with a user account, wherein the risk information includes a plurality of risk components including telematics data from one or more of the sensors; determining, for each of the plurality of risk components, a risk score, the risk score including an impact score and a risk probability by applying a machine learning model to risk information associated with the user account; generating an interactive risk index dashboard including a plurality of interactive risk index elements, wherein each of the plurality of interactive risk index elements is associated with a risk component of the plurality of risk components; displaying, on a display of a user device, the interactive risk index dashboard, wherein each of the plurality of interactive risk index elements is displayed in a portion of the interactive risk index dashboard in accordance with a respective determined impact score and risk probability; receiving real-time or near real-time risk information changes in at least one of driving behavior or environmental conditions from the sensors; dynamically changing the interactive risk index dashboard based on at least one of a changed impact score or a changed risk probability applied by the machine learning model to the real-time or near real-time risk information changes; and responsive to receiving a user interaction at an interactive risk index element in the interactive risk index dashboard, providing an additional sub-display with information relating to the interactive risk index element.

“12. The method of claim 11, further comprising: receiving a user interaction with a portion of the interactive risk index dashboard; and based on the user interaction, displaying one or more components of additional information associated with the portion of the interactive risk index dashboard.

“13. The method of claim 11, wherein displaying the interactive risk index dashboard includes displaying the plurality of interactive risk index elements in a grid format in the interactive risk index dashboard.

“14. The method of claim 11, wherein each of the plurality of interactive risk index elements includes one or more components of additional information, and wherein the method further comprises displaying one or more components of additional information with a respective interactive risk index element or in a sub-display of the interactive risk index dashboard upon receiving a user interaction with a respective interactive risk index element.

“15. The method of claim 14, wherein the one or more components of additional information include at least one of: a descriptor, a categorical indicator, a risk coding indicator, or a risk reduction recommendation.

“16. A system comprising: a first computing device in signal communication with at least one other computing device, wherein the first computing device comprises: a display; a processor; and memory storing instructions that, when executed by the processor, cause the first computing device to: receive, from a plurality of risk information sources including sensors, risk information associated with a user account, wherein the risk information includes a plurality of risk components including telematics data from one or more of the sensors; determine, for each of the plurality of risk components, an impact score and a risk probability by applying a machine learning model to risk information associated with the user account; generate an interactive risk index dashboard including a plurality of interactive risk index elements, wherein each of the plurality of interactive risk index elements is associated with a risk component of the plurality of risk components; provide, on the display, the interactive risk index dashboard, wherein each of the plurality of interactive risk index elements is displayed in a portion of the interactive risk index dashboard in accordance with a respective determined impact score and risk probability; receive real-time or near real-time risk information changes in at least one of driving behavior and environmental conditions from the sensors; and dynamically change the interactive risk index dashboard based on at least one of a changed impact score and a changed risk probability applied by the machine learning model to the real-time or near real-time risk information changes.”

There are additional claims. Please visit full patent to read further.

URL and more information on this patent, see: Chintakindi, Sunil. Data processing systems with machine learning engines for dynamically generating risk index dashboards. U.S. Patent Number 11449950, filed February 19, 2021, and published online on September 20, 2022. Patent URL: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=11449950.PN.&OS=PN/11449950RS=PN/11449950

(Our reports deliver fact-based news of research and discoveries from around the world.)