公开(公告)号：US11783247B2

公开(公告)日：2023-10-10

申请号：US17875708

申请日：2022-07-28

Applicant: Bank of America Corporation

Inventor： Veerandra S. Srivastava ,  Maharaj Mukherjee ,  Mehul Jayant Pandya ,  Utkarsh Raj

IPC: G06Q10/06 ,  G06Q10/0631 ,  G06N20/00 ,  G07C9/27 ,  G06F16/33

CPC classification number: G06Q10/06312 ,  G06F16/3344 ,  G06N20/00 ,  G06Q10/06313 ,  G07C9/27

Abstract: Aspects of the disclosure relate to using machine learning for resource planning. A computing platform may detect an occupancy modification event for a physical space. Based on detecting the occupancy modification event, the computing platform may send commands directing display of a data collection prompt to end user devices, which may prompt for work to be performed by users of the end user devices in the physical space during a first day. Using natural language processing, the computing platform may analyze user input information and other occupancy data to determine whether or not the users of the end user devices have permission to occupy the physical space during the first day. The computing platform may cause the end user devices to display a resource management interface indicating whether or not the users of the end user devices have valid permission to physically occupy the physical space during the first day.

公开(公告)号：US11181877B2

公开(公告)日：2021-11-23

申请号：US16815077

申请日：2020-03-11

Applicant: Bank of America Corporation

Inventor： Maharaj Mukherjee ,  Jennifer Cooper ,  Jigar Shah ,  Prasad G. Ravva ,  Veerandra S. Srivastava ,  Karthikeyan Natanasabapathy ,  Mohanraj Subramaniam

IPC: G05B19/042 ,  F24F11/46 ,  F24F11/64 ,  F24F11/65 ,  F24F140/60 ,  F24F110/10 ,  F24F120/12 ,  F24F140/50

Abstract: Aspects of the disclosure relate to using machine learning techniques for dynamic occupancy prediction. A computing platform may receive first data that is non-personalized and is associated with a first specific physical space, and may receive second data associated with a second specific physical space. The computing platform may normalize, for a common subspace of the first specific physical space and the second specific physical space, the first data and the second data. Using the normalized data, the computing platform may generate a predicted occupancy value for the common subspace. The computing platform may send commands directing a local HVAC control system, deployed at the common subspace, to perform a resource control action for the common subspace, which may cause the local HVAC control system to perform the resource control action for the common subspace.

公开(公告)号：US20220366337A1

公开(公告)日：2022-11-17

申请号：US17875708

申请日：2022-07-28

Applicant: Bank of America Corporation

Inventor： Veerandra S. Srivastava ,  Maharaj Mukherjee ,  Mehul Jayant Pandya ,  Utkarsh Raj

IPC: G06Q10/06 ,  G06N20/00 ,  G06F16/33 ,  G07C9/27

Abstract: Aspects of the disclosure relate to using machine learning for resource planning. A computing platform may detect an occupancy modification event for a physical space. Based on detecting the occupancy modification event, the computing platform may send commands directing display of a data collection prompt to end user devices, which may prompt for work to be performed by users of the end user devices in the physical space during a first day. Using natural language processing, the computing platform may analyze user input information and other occupancy data to determine whether or not the users of the end user devices have permission to occupy the physical space during the first day. The computing platform may cause the end user devices to display a resource management interface indicating whether or not the users of the end user devices have valid permission to physically occupy the physical space during the first day.

公开(公告)号：US11461713B1

公开(公告)日：2022-10-04

申请号：US16988876

申请日：2020-08-10

Applicant: Bank of America Corporation

Inventor： Utkarsh Raj ,  Mehul Jayant Pandya ,  Maharaj Mukherjee ,  Veerandra S. Srivastava

IPC: G06Q10/06 ,  G06N20/00 ,  G07C9/27 ,  G06F16/33

Abstract: Aspects of the disclosure relate to using machine learning for resource planning. A computing platform may detect an occupancy modification event for a physical space. Based on detecting the occupancy modification event, the computing platform may send commands directing display of a data collection prompt to end user devices, which may prompt for work to be performed by users of the end user devices in the physical space during a first day. Using natural language processing, the computing platform may analyze user input information and other occupancy data to determine whether or not the users of the end user devices have permission to occupy the physical space during the first day. The computing platform may cause the end user devices to display a resource management interface indicating whether or not the users of the end user devices have valid permission to physically occupy the physical space during the first day.

公开(公告)号：US20210286333A1

公开(公告)日：2021-09-16

申请号：US16815077

申请日：2020-03-11

Applicant: Bank of America Corporation

Inventor： Maharaj Mukherjee ,  Jennifer Cooper ,  Jigar Shah ,  Prasad G. Ravva ,  Veerandra S. Srivastava ,  Karthikeyan Natanasabapathy ,  Mohanraj Subramaniam

IPC: G05B19/042 ,  F24F11/46 ,  F24F11/64 ,  F24F11/65

Abstract: Aspects of the disclosure relate to using machine learning techniques for dynamic occupancy prediction. A computing platform may receive first data that is non-personalized and is associated with a first specific physical space, and may receive second data associated with a second specific physical space. The computing platform may normalize, for a common subspace of the first specific physical space and the second specific physical space, the first data and the second data. Using the normalized data, the computing platform may generate a predicted occupancy value for the common subspace. The computing platform may send commands directing a local HVAC control system, deployed at the common subspace, to perform a resource control action for the common subspace, which may cause the local HVAC control system to perform the resource control action for the common subspace.