System and method for determining an order of future events

A computer system for scheduling remote events, said system comprising:

• a receiving module for receiving, from a client device, user location data, wherein the location data comprises a geographic location and a timestamp;
• an event database for storing historical event data and a plurality of events to be scheduled, wherein each of the plurality of events to be scheduled comprises a respective event location and a respective event frequency;
• an event scheduling module for adding events of the plurality of events to be scheduled to a schedule-later queue if a most recent visit time of a particular event is more recent than its respective event frequency, and for adding events to a schedule-now list when the most recent visit time of a particular event is older than its respective event frequency, and for generating a preferred event sequence from a set of events of the schedule now list,
• wherein said generating is based on event location data, said user location data, and said historical event data of said set of events, and
• wherein said historical event data comprises indications of success for past events.

A computer system for scheduling remote events, said system comprising:

• a memory unit storing a database for storing historical event data and a plurality future events, wherein each of the future events comprise a respective event location and a respective event frequency;
• and
• a processor communicatively coupled to the memory unit and configured to perform a method of scheduling remote events, said method comprising:
• receiving, from a client device, user location data, wherein the location data comprises a geographic location and a timestamp;
• identifying a plurality of events to be scheduled, wherein each of the plurality of events to be scheduled comprise a respective event location and an event frequency;
• adding events of the plurality of events to be scheduled to a schedule-later queue if a most recent visit time of a particular event is more recent than its respective event frequency;
• adding events to a schedule-now list when a most recent visit time of a particular event is older than its respective event frequency;
• and
• generating a preferred event sequence from a set of events of the schedule now list,
• wherein said generating is based on event location data, user location data, and historical event data of said set of events, and wherein the historical event data comprises indications of success for past events.