Invention Application
- Patent Title: MACHINE LEARNING PLATFORM FOR REAL TIME OCCUPANCY FORECASTING AND RESOURCE PLANNING
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Application No.: US17875708Application Date: 2022-07-28
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Publication No.: US20220366337A1Publication Date: 2022-11-17
- Inventor: Veerandra S. Srivastava , Maharaj Mukherjee , Mehul Jayant Pandya , Utkarsh Raj
- Applicant: Bank of America Corporation
- Applicant Address: US NC Charlotte
- Assignee: Bank of America Corporation
- Current Assignee: Bank of America Corporation
- Current Assignee Address: US NC Charlotte
- Main IPC: G06Q10/06
- 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.
Public/Granted literature
- US11783247B2 Machine learning platform for real time occupancy forecasting and resource planning Public/Granted day:2023-10-10
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