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公开(公告)号:US20240338735A1
公开(公告)日:2024-10-10
申请号:US18631346
申请日:2024-04-10
发明人: John Mullins , Randy Oun , Phillip Michael Wilkowski , Sharon Gibson , Jason Goldfarb , Arsh Singh , Daniel Wilson , Michael P. Baran , Bryan Nussbaum , Anish Agarwal , Ronald Dean Nelson , Alexander Cardona , John Andrew Schirano , Christopher N. Kawakita , Daniel Wang , Amy L. Starr
IPC分类号: G06Q30/02
CPC分类号: G06Q30/0278
摘要: The following relates generally to determining and/or displaying home scores. In some embodiments, one or more processors: (1) identify an upgrade and/or service to a home; (2) determine a home score improvement that the upgrade and/or service would make for an overall home score, a home safety subscore, a fire protection subscore, a sustainability subscore, and/or a home automation subscore; and/or (3) display the home score improvement along with an indication of the upgrade and/or service on a display.
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公开(公告)号:US12002108B2
公开(公告)日:2024-06-04
申请号:US17973108
申请日:2022-10-25
发明人: Sharon Gibson , Daniel Wilson , Phillip Michael Wilkowski , Jason Goldfarb , Arsh Singh , Dustin Helland
IPC分类号: G06Q40/08
CPC分类号: G06Q40/08
摘要: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a first property; (2) determining, using a trained machine learning evaluation model, one or more home score factors based upon at least the home data; (3) generating, based upon the one or more home score factors, a home score for the first property; (4) retrieving past hazard data associated with a second property; and (5) generating based upon at least the past hazard data, a home modification recommendation.
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公开(公告)号:US20230377070A1
公开(公告)日:2023-11-23
申请号:US18228158
申请日:2023-07-31
发明人: Sharon Gibson , Daniel Wilson , Phillip Michael Wilkowski , Jason Goldfarb , Arsh Singh , Dustin Helland
IPC分类号: G06Q50/16
CPC分类号: G06Q50/16
摘要: Systems and methods are described for generating and/or displaying an overall home score for a property. The method may include: retrieving one or more attributes of a property; determining one or more home score factors from the attributes; generating an overall home score; generating a neighborhood score; and displaying the overall home score, the neighborhood score and/or a map.
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公开(公告)号:US20230342869A1
公开(公告)日:2023-10-26
申请号:US17973099
申请日:2022-10-25
发明人: Sharon Gibson , Daniel Wilson , Phillip Michael Wilkowski , Jason Goldfarb , Arsh Singh , Dustin Helland
IPC分类号: G06Q50/16
CPC分类号: G06Q50/16
摘要: Systems and methods are described for analyzing home data to generate a home score. The method may include: retrieving home data for a first property; determining that the first property shares home characteristics with a second property; retrieving past hazard data associated with the second property; determining, based upon at least the home data and the past hazard data, one or more first home score factors, wherein the determining includes: analyzing, using a trained machine learning data evaluation model, the home data to determine home characteristic data for the first property, determining second home score factors for the second property based at least upon the past hazard data, and determining, based upon the home characteristic data and the second home score factors, the one or more first home score factors; and generating, based upon the one or more first home score factors, a home score for the first property.
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公开(公告)号:US20220245593A1
公开(公告)日:2022-08-04
申请号:US17587928
申请日:2022-01-28
发明人: Michael DiBenedetto , Audrey Schwartz , Sydney Volk , Daniel Davidson , Daniel Wilson , Jo-Jo Lin , Zaki Goumandakoye
摘要: Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.
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公开(公告)号:US20240338775A1
公开(公告)日:2024-10-10
申请号:US18631209
申请日:2024-04-10
发明人: John Mullins , Randy Oun , Phillip Michael Wilkowski , Sharon Gibson , Jason Goldfarb , Arsh Singh , Daniel Wilson , Michael P. Baran , Bryan Nussbaum , Anish Agarwal , Ronald Dean Nelson , Alexander Cardona , John Andrew Schirano , Christopher N. Kawakita , Daniel Wang , Amy L. Starr
摘要: The following relates generally to determining and/or displaying home scores. In some embodiments, one or more processors: (1) display, in a first portion of a display, identifying information of a home; and (2) display, in a second portion of the display: (a) an overall home score determined based upon a plurality of home subscores; (b) the plurality of home subscores comprising: a home safety subscore determined via a home safety subscore machine learning algorithm, a fire protection subscore determined via a fire protection subscore machine learning algorithm, a sustainability subscore determined via a sustainability subscore machine learning algorithm, and/or a home automation subscore determined via a home automation subscore machine learning algorithm; and (c) a relative home score comprising a comparison between the overall home score and scores of other homes.
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公开(公告)号:US20240273636A1
公开(公告)日:2024-08-15
申请号:US18643587
申请日:2024-04-23
发明人: Sharon Gibson , Nicholas Carmelo Marotta , Daniel Wilson , David Frank , Phillip Michael Wilkowski , Jason Goidfarb
IPC分类号: G06Q40/08 , G06N20/00 , G06Q50/163
CPC分类号: G06Q40/08 , G06N20/00 , G06Q50/163
摘要: Systems and methods are described for evaluating and gamifying maintenance for a property by a user. The method may include: (1) retrieving training data captured by one or more sensors associated with one or more properties or one or more users; (2) retrieving at least one of home data for a property or user data for a user; (3) determining, using a machine learning model, home score factors based upon at least one of the home data or the user data, wherein the machine learning model is trained with the training data; (4) generating, based upon the home score factors, a home score for the property; (5) determining, based upon at least one of the home data or the user data, difference factors between the property and a previous property associated with the user; and (6) causing a user device to display the home score and difference factors.
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公开(公告)号:US20230342868A1
公开(公告)日:2023-10-26
申请号:US17972261
申请日:2022-10-24
发明人: Sharon Gibson , Nicholas Carmelo Marotta , Daniel Wilson , David Frank , Phillip Michael Wilkowski , Jason Goldfarb
IPC分类号: G06Q50/16
CPC分类号: G06Q50/16
摘要: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a property; (2) determining, based upon the home data for the property, one or more home score factors, wherein the determining may include: (i) analyzing, using a trained machine learning data evaluation model, the home data for the property to determine home characteristic data for the property, (ii) analyzing, using the trained machine learning data evaluation model, the home data for the property to determine a likelihood of loss associated with the property, and (iii) determining, based upon the home characteristic data for the property and the likelihood of loss associated with the property; and (3) generating, based upon the one or more home score factors, a home score for the property.
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公开(公告)号:US20230342867A1
公开(公告)日:2023-10-26
申请号:US17816379
申请日:2022-07-29
发明人: Sharon Gibson , Nicholas Carmelo Marotta , Daniel Wilson , David Frank , Phillip Michael Wilkowski , Jason Goldfarb
IPC分类号: G06Q50/16
CPC分类号: G06Q50/16
摘要: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a property; (2) determining, based upon the home data for the property, one or more home score factors, wherein the determining may include: (i) analyzing, using a trained machine learning data evaluation model, the home data for the property to determine home characteristic data for the property, (ii) analyzing, using the trained machine learning data evaluation model, the home data for the property to determine a likelihood of loss associated with the property, and (iii) determining, based upon the home characteristic data for the property and the likelihood of loss associated with the property; and (3) generating, based upon the one or more home score factors, a home score for the property.
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公开(公告)号:US20230342862A1
公开(公告)日:2023-10-26
申请号:US18200181
申请日:2023-05-22
发明人: Sharon Gibson , Bryan R. Nussbaum , Arsh Singh , Alexander Cardona , Daniel Wilson , Phillip Michael Wilkowski
IPC分类号: G06Q40/08
CPC分类号: G06Q40/08
摘要: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) receiving home telematics data associated with a property for a user; (2) analyzing, according to a machine learning model, the home telematics data to determine age data for one or more components of the property, wherein the one or more components of the property are associated with a structural integrity of the property; (3) determining, based upon at least the determined age data, a home health indicator for the property, wherein the home health indicator for the property is associated with a determined age for the property; and (4) generating, based upon at least the determined home health indicator, a home score for the property.
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