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公开(公告)号：US12217213B2
公开(公告)日：2025-02-04
申请号：US18467420
申请日：2023-09-14
Inventor： Ryan Michael Gross , Jody Ann Thoele , Joseph Robert Brannan , Eric R. Moore
IPC: G06Q10/10 , G01C21/34 , G06F16/245 , G06F16/29 , G06Q10/047 , G06Q30/0204 , G06Q40/08 , G06Q50/14 , G06N20/00
Abstract: An adaptive mapping (AM) computing device having at least one processor in communication with at least one memory device is provided. The AM computing device may be configured to retrieve a plurality of tasks associated with a user, and retrieve geographic mapping data. The AM computing device may also generate a route model based upon the retrieved plurality of tasks and the retrieved geographic mapping data. The AM computing device may execute the route model to determine an optimal route, and transmit, to the user, an optimized travel plan based upon the optimal route.
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22.发明授权公开(公告)号：US12181299B2
公开(公告)日：2024-12-31
申请号：US17878698
申请日：2022-08-01
Inventor： Aaron Williams , Ryan Michael Gross , Joseph Robert Brannan
IPC: G01C21/00 , B64C39/00 , B64C39/02 , G01C21/20 , G01C21/34 , G05D1/00 , G06Q10/00 , G06Q10/047 , G06Q10/0631 , G06Q10/0635 , G06Q10/0835 , G06Q50/00 , G06Q50/40 , B64U101/60
Abstract: A vehicle routing system includes a vehicle routing and analytics (VRA) computing device, one or more databases, and one or more vehicles communicatively coupled to the VRA computing device. The VRA computing device is configured to generate an optimal route for a vehicle to travel that maximizes potential revenue for operation of the vehicle, the optimal route including a schedule of a plurality of tasks, and generate analytics associated with operation of the vehicle. The VRA computing device is further configured to provide a management hub software application accessible by vehicle users associated with vehicles, tasks sources, and other users.
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公开(公告)号：US20240428342A1
公开(公告)日：2024-12-26
申请号：US18827186
申请日：2024-09-06
Inventor： Joseph Robert Brannan , Brian N. Harvey , Ryan Michael Gross , J. Lynn Wilson , Matthew Eric Riley, SR.
IPC: G06Q40/08 , G06F16/9035 , G06F16/9535 , G06Q30/0645 , G06Q50/00
Abstract: A matching computer system for electronically generating, matching, and providing online user profiles, and determining a sharing score between the online user profiles is provided. The matching computer system may be configured to generate online user profiles associated with users of the systems. The matching computer system may be also configured to calculate a base score based upon the generated online user profile. Each base score represents a level of trustworthiness of each respective user. The matching computer system may be further configured to determine a sharing score between users based upon the base scores. Each sharing score represents a level of matching between the online user profiles.
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公开(公告)号：US20240281854A1
公开(公告)日：2024-08-22
申请号：US18653494
申请日：2024-05-02
Inventor： Ryan Michael Gross , Joseph Robert Brannan , Brian N. Harvey
IPC: G06Q30/0279 , G01C21/34 , G01C21/36 , G06N5/04 , G06N20/00 , G06Q30/0208 , H04W4/02 , H04W4/029
CPC classification number: G06Q30/0279 , G01C21/3446 , G01C21/3484 , G01C21/3492 , G01C21/3688 , G06N5/04 , G06N20/00 , G06Q30/0208 , H04W4/027 , H04W4/029
Abstract: A user analytics computing device for processing mobile device telematics data includes a processor in communication with a memory device. The processor is programmed to: (i) store a model to predict a travel mode for a user based upon historical telematics data, (ii) form a first group by assigning a user to the first group, (iii) receive telematics data associated with movement of the user, (iv) input the telematics data into the model to determine a travel mode of the user, (v) parse subsets of the telematics data based upon the determined travel modes, (vi) retrieve an eligibility condition defining eligibility to qualify for a user offering, (vii) aggregate one subset of the telematics data associated with the first travel mode of the user, (viii) determine that the group telematics data satisfies the eligibility condition, and (ix) cause a notification to be displayed on the mobile device of the user.
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公开(公告)号：US20240060789A1
公开(公告)日：2024-02-22
申请号：US18497673
申请日：2023-10-30
Inventor： Ryan Michael Gross , Joseph Robert Brannan , Brian N. Harvey
CPC classification number: G01C21/3484 , G01C21/3446 , G06N20/00 , G06N5/04 , G01C21/3688 , G01C21/3492
Abstract: A user analytics computing device for processing vehicle-based telematics data and generating user offerings responsive to the vehicle-based telematics data includes at least one processor in communication with a memory device. The processor is programmed to: (i) receive, from a vehicle computing device, telematics data associated with a plurality of trips taken by a first driver using a first vehicle, (ii) generate a driver profile of the first driver based at least in part upon the telematics data, (iii) access, from the memory device, contextual data associated with an environment in which the first vehicle travelled during the plurality of trips, (iv) synthesize the driver profile and the contextual data to generate a contextualized driver profile, (v) based upon the contextualized driver profile, generate a user offering to influence the driver profile, and (vi) transmit the user offering to a user computing device associated with the first driver.
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Patent Agency Ranking
公开(公告)号：US20240029170A1
公开(公告)日：2024-01-25
申请号：US18373553
申请日：2023-09-27
Inventor： Joseph Robert Brannan , Brian N. Harvey , Ryan Michael Gross , J. Lynn Wilson , Matthew Eric Riley, JR.
IPC: G06Q40/08 , G06Q30/0645 , G06Q50/00 , G06F16/9535 , G06F16/9035
CPC classification number: G06Q40/08 , G06Q30/0645 , G06Q50/01 , G06F16/9535 , G06F16/9035
Abstract: A matching computer system for electronically generating, matching, and providing online user profiles, and determining a trust score for a user based upon at least social media data and insurance data is provided. The matching computer system may be configured to register users within the matching computer system, receive consent from the users to capture the social media data, and collect the social media data and the insurance data from each registered user. The matching computer system may also be configured to retrieve the social media data and the insurance data associated with each registered user. The matching computer system may be further configured to determine a trust score for each registered user based upon each respective social media data and each respective insurance data. Each trust score represents a level of trustworthiness of the user.
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公开(公告)号：US20230419262A1
公开(公告)日：2023-12-28
申请号：US18467420
申请日：2023-09-14
Inventor： Ryan Michael Gross , Jody Ann Thoele , Joseph Robert Brannan , Eric R. Moore
IPC: G06Q10/10 , G06F16/29 , G06Q30/0204 , G06Q10/047 , G01C21/34 , G06F16/245 , G06Q40/08 , G06Q50/14
CPC classification number: G06Q10/10 , G06F16/29 , G06Q30/0205 , G06Q10/047 , G01C21/3484 , G06F16/245 , G06Q40/08 , G06Q50/14 , G06N20/00
Abstract: An adaptive mapping (AM) computing device having at least one processor in communication with at least one memory device is provided. The AM computing device may be configured to retrieve a plurality of tasks associated with a user, and retrieve geographic mapping data. The AM computing device may also generate a route model based upon the retrieved plurality of tasks and the retrieved geographic mapping data. The AM computing device may execute the route model to determine an optimal route, and transmit, to the user, an optimized travel plan based upon the optimal route.
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28.发明公开公开(公告)号：US20230387481A1
公开(公告)日：2023-11-30
申请号：US17980977
申请日：2022-11-04
Inventor： Ryan Michael Gross , Matthew S. Megyese , Joseph P. Harr , Scott T. Christensen , Vicki King , Shawn Renee Harbaugh
CPC classification number: H01M10/4257 , G06Q40/08 , H01M2010/4271 , H01M2220/20
Abstract: A server and non-transitory computer-readable storage medium storing instructions for monitoring one or more batteries of an electric vehicle (EV) comprising computing instructions for (i) receiving, from an electronic device associated with the EV, telematics data generated by one or more sensors associated with the electronic device that is indicative of operation of the EV; (ii) determining a battery status of the one or more batteries based upon the telematics data; and (iii) mapping the battery status of the one more batteries to a digital record corresponding to the EV in a database.
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29.发明公开公开(公告)号：US20230387480A1
公开(公告)日：2023-11-30
申请号：US17980944
申请日：2022-11-04
Inventor： Ryan Michael Gross , Matthew S. Megyese , Joseph P. Harr , Scott Thomas Christensen , Vicki King , Shawn Renee Harbaugh
CPC classification number: H01M10/4257 , G06Q40/08 , H01M2010/4271 , H01M2220/20 , H02J2310/48
Abstract: Computer-implemented methods of monitoring one or more batteries of an electric vehicle (EV) include (i) receiving, from an electronic device associated with the EV, telematics data generated by one or more sensors associated with the electronic device that is indicative of operation of the EV; (ii) determining a battery status of the one or more batteries based upon the telematics data; and (iii) mapping the battery status of the one more batteries to a digital record corresponding to the EV in a database.
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30.发明授权公开(公告)号：US11599947B1
公开(公告)日：2023-03-07
申请号：US16780507
申请日：2020-02-03
Inventor： Ryan Michael Gross , Joseph Robert Brannan , Brian N. Harvey
Abstract: A personalized insurance (“PI”) computing device for determining an optimal insurance product for a driver operating a vehicle for a transportation network company (“TNC”) during a period of increased demand includes at least one processor in communication with at least one memory. The processor is configured to: (i) receive, from a TNC, data indicating increased demand for transportation services, (ii) retrieve driver data that includes the driver history, (iii) generate an optimal pricing model for the driver based upon the increased demand and the driver data, (iv) execute the model to determine an optimal insurance product having characteristics reflecting at least one risk factor associated with the increased demand for transportation services and a risk profile determined from analyzing the driver data, and (v) transmit an offer to the driver to provide transportation services at an increased earnings rate and with the determined optimal insurance product.
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