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公开(公告)号:US20240330967A1
公开(公告)日:2024-10-03
申请号:US18743517
申请日:2024-06-14
Applicant: Caterpillar Inc.
Inventor: Lucas Inoue Sardenberg
IPC: G06Q30/0201 , G06Q10/20
CPC classification number: G06Q30/0206 , G06Q30/0201 , G06Q10/20
Abstract: The present technology is generally directed to systems and methods for determining a customer-specific price for a replacement component of a machine. The present technology can include collecting, for one or more customers, data associated with the replacement component. For each of the customer(s), the present technology can further include determining one or more customer-specific factors; using the customer-specific factors(s) to determine one or more optimization metric(s); applying an optimization engine to the optimization metric(s) to determine a customer-specific adjustment; and inputting the customer-specific adjustment into a pricing system to generate a future price for the replacement component.
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公开(公告)号:US20240330516A1
公开(公告)日:2024-10-03
申请号:US18192726
申请日:2023-03-30
Applicant: Truist Bank
Inventor: Seshadri Chintalapati , Joseph Matthew Law , Josephine Middleton-Saulny , Chris McClennen , Phani Kumar Ankani
IPC: G06F21/62 , G06Q30/0201
CPC classification number: G06F21/6263 , G06Q30/0201
Abstract: A data privacy management system and method are provided. The method includes providing at least one processor, at least one memory device including readable instructions, and at least one user device in communication with the at least one processor via a network connection; receiving at least one information sharing preference and at least one communication request related to user data from a user, and transmitting the information sharing preference and/or communication request to at least one third-party entity to provide enhanced data privacy protection and control to the user.
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公开(公告)号:US12105841B2
公开(公告)日:2024-10-01
申请号:US18116024
申请日:2023-03-01
Applicant: Nike, Inc.
Inventor: Justus Post
IPC: G06F21/62 , G06F21/33 , G06Q30/0201 , G06Q50/26
CPC classification number: G06F21/6245 , G06F21/335 , G06Q30/0201 , G06Q50/265 , G06F2221/2111 , G06F2221/2137
Abstract: Aspects of the technology described herein provide for controlled access to a secure computing resource. A first device may receive a child token from a second device having a parent token. The child token may grant the first device access to a subset of data accessible to the second device. Based on a degree of physical proximity between the first device and a third device associated with a user satisfying a threshold proximity, an indication of a user identifier for the user may be received from the third device. A request for access to a secure computing resource associated with the user may be sent to the second device. The request may include the indication of the user identifier and an indication of the secure computing resource. Access to the secure computing resource may be granted based on the child token and the indication of the identifier.
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公开(公告)号:US12101374B2
公开(公告)日:2024-09-24
申请号:US17993304
申请日:2022-11-23
Applicant: T-Mobile USA, Inc.
Inventor: Venson Shaw , Sunil Lingayat
IPC: H04L67/10 , G06Q10/0631 , G06Q20/12 , G06Q30/0201 , G06Q50/26 , H04L41/0803 , H04L67/306 , H04L67/52 , H04W84/04
CPC classification number: H04L67/10 , G06Q10/06315 , G06Q20/127 , G06Q30/0201 , G06Q50/265 , H04L41/0803 , H04L67/306 , H04L67/52 , H04W84/042
Abstract: The technology described herein allocates resources in a cloud computing environment using a 5G network. The system can connect a device to the 5G network and collect data related to the device such as a location of the device and characteristics of use of the device with the 5G network. The system can create a device service profile of the device based at least in part on the data related to the device. The system can then dynamically partition computing resources within the cloud computing environment for the device based on the device service profile and a time-of-day in the location of the device to thereby provide on-demand access to content or services in the cloud computing environment to the device over the 5G network.
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15.
公开(公告)号:US12100016B2
公开(公告)日:2024-09-24
申请号:US17984961
申请日:2022-11-10
Applicant: The Nielsen Company (US), LLC
Inventor: Matthew VanLandeghem , Lianghua Shao , Jessica Brinson , Sagar Sanghavi , Jonathan Sullivan , Billie J. Kline , Mala Sivarajan , Shruthi Koundinya Nagaraja , Logan Thomas , Arushi Kumar
IPC: G06Q30/02 , G06F16/215 , G06F16/23 , G06F16/2457 , G06F16/28 , G06F16/9536 , G06F21/62 , G06N5/04 , G06N20/00 , G06Q30/0201 , G06Q30/0202 , G06Q30/0204 , G06Q30/0242 , H04L67/303 , H04L67/306 , H04L67/50 , H04L67/53
CPC classification number: G06Q30/0201 , G06F16/215 , G06F16/2365 , G06F16/24578 , G06F16/285 , G06F16/9536 , G06F21/6263 , G06N5/04 , G06N20/00 , G06Q30/0202 , G06Q30/0204 , G06Q30/0205 , G06Q30/0245 , G06Q30/0246 , H04L67/303 , H04L67/306 , H04L67/53 , H04L67/535
Abstract: An example system disclosed herein includes programmable circuitry to identify donor adjustment factors and recipient adjustment factors used for correction of media impressions logged by a database proprietor, the donor adjustment factors including first donor adjustment factors associated with a first geographic region and second donor adjustment factors associated with a second geographic region, determine a first reduced donor factor set corresponding to ones of the first donor adjustment factors that satisfy a threshold, determine a second reduced donor factor set corresponding to ones of the second donor adjustment factors that satisfy the threshold, and generate imputation factors based on an aggregation of retained ones of the donor adjustment factors, the retained ones of the donor adjustment factors selected based on the first reduced donor factor set and the second reduced donor factor set, the imputation factors to reduce error in the correction.
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16.
公开(公告)号:US20240311938A1
公开(公告)日:2024-09-19
申请号:US18671415
申请日:2024-05-22
Applicant: Zenlist, Inc.
Inventor: Andrea Badino , Tom MacLeod , Bob Safranski , Jacob Thompson
IPC: G06Q50/16 , G06F3/0482 , G06F16/25 , G06F16/29 , G06F16/9535 , G06F16/9536 , G06F16/9537 , G06F16/9538 , G06Q10/10 , G06Q30/018 , G06Q30/0201 , G06Q30/0601 , G06Q50/26 , H04L51/046 , H04L67/10
CPC classification number: G06Q50/16 , G06F3/0482 , G06F16/258 , G06F16/29 , G06F16/9535 , G06F16/9537 , G06F16/9538 , G06Q30/0201 , G06F16/9536 , G06Q10/10 , G06Q30/018 , G06Q30/0617 , G06Q30/0627 , G06Q50/26 , H04L51/046 , H04L67/10
Abstract: A system for presenting properties includes: a server, coupled to client devices via the internet, the server including: a unification module, that periodically accesses data sources for listings, where the data sources include on-market sources and off-market sources, and that retrieves the listings from the sources, converts the listings to a common format, and stores the listings in the common format, and that detects deficiencies in the listings that cannot be resolved by accessing public data sources; and an intelligence module, that receives a request from the unification module for data that can resolve the deficiencies, and that accesses an external entities database to select external entities that can provide the data, and that automatically generates requests to the external entities to provide the data, and that automatically receives the data to enable the unification module to update a parcel record in a parcel database associated with the deficiencies.
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公开(公告)号:US20240311856A1
公开(公告)日:2024-09-19
申请号:US18671595
申请日:2024-05-22
Applicant: Blue Yonder Group, Inc.
Inventor: Ganesh Muthusamy , Phani Bulusu , Rashid Puthiyapurayil , Abhishek Singh
IPC: G06Q30/0204 , G06Q30/0201
CPC classification number: G06Q30/0204 , G06Q30/0201
Abstract: A system and method for performing tactical segmentation including a supply chain network having a tactical segmentation planner, an inventory system, a transportation network, supply chain entities and a computer. The computer performs multi-dimension segmentation on input data by computing feature importance to generate multi-dimensional segments, assigns policy parameters to the supply chain network based on the generated multi-dimensional segments, trains a machine learning model by applying a cyclic boosting process to the standardized features data, where the cyclic boosting process iteratively learns relationships associated with the generated multi-dimensional segments, stores the machine learning model in a database, performs multi-dimension segmentation based on the stored machine learning model, determines whether data drift has occurred in the input data and in response to determining that data drift has occurred, repeats the perform, assign, trains steps, and stores an updated machine learning model in the database.
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公开(公告)号:US12096158B2
公开(公告)日:2024-09-17
申请号:US17749073
申请日:2022-05-19
Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor: Hiroaki Kodera , Yoichiro Isami , Kotoru Sato , Takashi Hayashi , Naohiro Seo
IPC: H04N7/18 , G06Q30/0201
CPC classification number: H04N7/181 , G06Q30/0201
Abstract: In an information collecting system, an information collecting device managed by the designated institution sets information acquisition spaces where acquisition of personal information of residents in the region is allowed and information acquisition prohibited spaces where acquisition of personal information of residents is prohibited, the information collecting device transmits space information corresponding to spaces in which information acquisition terminals are located, for information acquisition terminals which are located in information acquisition spaces and information acquisition prohibited spaces and which allow acquisition of personal information of residents, and the information acquisition terminal determines that personal information acquired by an information acquisition terminal is not to be transmitted to an information collecting device when the information acquisition terminal is located in an information acquisition prohibited space, based on the received space information.
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19.
公开(公告)号:US12093870B2
公开(公告)日:2024-09-17
申请号:US17347933
申请日:2021-06-15
Applicant: Tata Consultancy Services Limited
Inventor: Swati Murthy , Rameshwar Gongireddy
IPC: G06Q10/06 , G06F16/215 , G06N20/00 , G06Q10/0635 , G06Q10/0637 , G06Q10/0639 , G06Q30/018 , G06Q30/0201 , G06Q30/0202
CPC classification number: G06Q10/0635 , G06F16/215 , G06N20/00 , G06Q10/06375 , G06Q10/06393 , G06Q30/018 , G06Q30/0201 , G06Q30/0202
Abstract: This disclosure relates generally to the dynamic sustainability risk assessment of suppliers and sourcing location to aid procurement decision. The existing solutions for sustainability risk assessment involves huge efforts in data collection, upload, consolidation from various data sources which includes sustainability impact factors. The present disclosure captures various data related to the suppliers and the sustainability impact factors from various internal and external data sources and assigns the weights to the sustainability impact factors to generate key performance indicators based on the industry segment and the data related to the suppliers. Further, the system trains an artificial intelligence model based on the key performance indicators and the data related to the suppliers using a ridge regression technique to estimate a sustainability risk assessment of the supplier. The system performs a scenario-based analysis for providing the recommendations to switch the commodity procurement from sourcing location to a target location.
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公开(公告)号:US20240303676A1
公开(公告)日:2024-09-12
申请号:US18655508
申请日:2024-05-06
Applicant: The Nielsen Company (US), LLC
Inventor: DongBo Cui , Edward Murphy , Michael Richard Sheppard , David Forteguerre , Jessica Lynn White , PengFei Yi , Jonathan Sullivan
IPC: G06Q30/0201 , G06F17/16 , G06F18/10
CPC classification number: G06Q30/0201 , G06F17/16 , G06F18/10
Abstract: An example apparatus includes audience metrics collecting circuitry to access first audience metrics from a server, and access second audience metrics from the server, matrix building circuitry to build a matrix of the first audience metrics and the second audience metrics, missing values of the matrix corresponding to the second audience metrics, data transforming circuitry to transform the first audience metrics and the second audience metrics in the matrix, missing value calculating circuitry to determine imputed transformed values of the missing values using a recommender system, and the data transforming circuitry to recover imputed values of the missing values based on the imputed transformed values.
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