System and method for dynamic event management

A method, comprising:

• receiving payments, via a payment system, from a plurality of attendees of an event;
• calculating an engagement metric, via one or more sensors, of the plurality of attendees with a plurality of vendors during the event, wherein the engagement metric comprises time spent by attendees at each vendor's location of the plurality of vendors and wherein calculating the engagement metric comprises:
• monitoring, via the one or more sensors, movement of the plurality of attendees through an event space of the event in real-time to derive a real-time sensor data;
• and
• calculating an attendee time spent by each attendee of the plurality of attendees at each vendor's location based on the real-time sensor data, wherein the one or more sensors comprise a location tracking sensor disposed on a mobile device carried by each attendee;
• allocating the payments, or a portion thereof, via the payment system, to the plurality of vendors in proportion to the tracked engagement metric of the plurality of attendees with each vendor of the plurality of vendors by:
• calculating a respective credit allocation amount for each vendor based on their tracked engagement metric;
• initiating an electronic fund transfer to one or more vendor accounts based on the respective credit allocation amount for each vendor;
• and
• generating an online payment report comprising payment attributable to the engagement metric during the event and time spent by attendees at each vendor's location;
• creating a personalized event itinerary for an attendee of the plurality of attendees via a trained artificial intelligence (AI) model that processes the real-time sensor data to dynamically adjust the personalized event itinerary based on current wait times, crowd density, attendee location, or a combination thereof;
• and
• presenting the adjusted personalized event itinerary on a display of the mobile device.

A non-transitory computer-readable medium storing instructions that, when executed by one or more hardware processors of a computer system, cause the computer system to perform operations comprising:

• receiving payments, via a payment system, from a plurality of attendees of an event;
• calculating an engagement metric, via one or more sensors, of the plurality of attendees with a plurality of vendors during the event, wherein the engagement metric comprises time spent by attendees at each vendor's location of the plurality of vendors and wherein calculating the engagement metric comprises:
• monitoring, via the one or more sensors, movement of the plurality of attendees through an event space of the event in real-time to derive a real-time sensor data;
• and
• calculating an attendee time spent by each attendee of the plurality of attendees at each vendor's location based on the real-time sensor data, wherein the one or more sensors comprise a location tracking sensor disposed on a mobile device carried by each attendee;
• allocating the payments, or a portion thereof, via the payment system, to the plurality of vendors in proportion to the tracked engagement metric of the plurality of attendees with each vendor of the plurality of vendors by:
• calculating a respective credit allocation amount for each vendor based on their tracked engagement metric;
• initiating an electronic fund transfer to one or more vendor accounts based on the respective credit allocation amount for each vendor;
• and
• generating an online payment report comprising payment attributable to the engagement metric during the event and time spent by attendees at each vendor's location;
• creating a personalized event itinerary for an attendee of the plurality of attendees via a trained artificial intelligence (AI) model that processes the real-time sensor data to dynamically adjust the personalized event itinerary based on current wait times, crowd density, attendee location, or a combination thereof;
• and
• presenting the adjusted personalized event itinerary on a display of the mobile device.