Contextually aware devices and machine learning-driven optimization systems

A system comprising:

• one or more memories collectively storing computer-executable instructions;
• and
• one or more processors configured to collectively execute the computer-executable instructions and cause the system to:
• receive capacity data of one or more exit devices at a physical location;
• receive demand data from one or more monitoring devices that indicates a current demand for exit service at the physical location;
• generate a decision based on the capacity data and the demand data using a machine learning (ML) model;
• and
• transmit commands corresponding to the decision to the one or more exit devices for implementation.

A computer program product, comprising:

• computer-readable storage mediums having computer-readable program code executable to cause the computer program product to:
• receive capacity data of one or more exit devices at a physical location;
• receive demand data from one or more monitoring devices that indicates a current demand for exit service at the physical location;
• generate a decision based on the capacity data and the demand data using a machine learning (ML) model;
• and
• transmit commands corresponding to the decision to the one or more exit devices for implementation;
• and
• one or more processors, each processor of which is configured to execute at least a respective portion of the computer-readable program code.