Systems and methods for fixing schedule using a remote optimization engine

A method for scheduling tasks to field professionals, comprising:

• transmitting, by one or more servers, to a first client device associated with a field professional, via a network, information about a dailyschedule of assigned tasks associated with a set of requests for on-site services;
• automatically obtaining, by the one or more servers via a network, real-time information at predetermined time intervals from one or more sources including a weather monitoring system (WMS), the real-time information including weather information;
• automatically determining, by the one or more servers using the real-time information, existence of an unplanned event, the unplanned event including a weather event;
• processing real-time Global Positioning System (GPS) location data obtained from the first client device, the GPS location data indicating a location of the field professional;
• processing first traffic information including real-time traffic information obtained via a network from a third-party service provider, the traffic information pertaining to at least one route to a location associated with a first task from the daily schedule, the at least one route being from at least one of:
• the location of the field professional or a location of a second task from the daily schedule, the second task being scheduled to be performed prior to the first task;
• applying a traffic route model to the first traffic information such that weights are assigned to segments of a plurality of routes to the location associated with the first task
• determining, based at least in part on the weights, that the unplanned event is likely to interfere with the field professional completing the first task;
• determining, by the one or more servers, a time window associated with the field professional based, at least in part, on the daily schedule of assigned tasks and the determination that the unplanned event is likely to interfere with the field professional completing the first task;
• identifying, by the one or more servers from a database storing information pertaining to a plurality of pending requests for which tasks are available for scheduling, one or more alternative tasks that can be completed by the field professional within the time window based, at least in part, on at least one of:
• the GPS location data, the location of the second task, or a location of a third task scheduled to be performed after the first task;
• assigning, by the one or more servers to the field professional at least one alternative task of the one or more alternative tasks such that first task information stored in association with the at least one alternative task is updated;
• and
• unassigning, by the one or more servers, the first task such that second task information stored in association with the first task is updated.

A non-transitory computer-readable storage medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform a method, the method comprising:

• transmitting to a first client device associated with a field professional, via a network, information about a daily schedule of assigned tasks associated with a set of requests for on-site services;
• automatically obtaining, via a network, real-time information at predetermined time intervals from one or more sources including a weather monitoring system (WMS), the real-time information including weather information;
• automatically determining, using the real-time information, existence of an unplanned event, the unplanned event including a weather event;
• processing real-time Global Positioning System (GPS) location data obtained from the first client device, the GPS location data indicating a location of the field professional;
• processing first traffic information including real-time traffic information obtained via a network from a third-party service provider, the traffic information pertaining to at least one route to a location associated with a first task from the daily schedule, the at least one route being from at least one of:
• the location of the field professional or a location of a second task from the daily schedule, the second task being scheduled to be performed prior to the first task;
• applying a traffic route model to the first traffic information such that weights are assigned to segments of a plurality of routes to the location associated with the first task
• determining, based at least in part on the weights, that the unplanned event is likely to interfere with the field professional completing the first task;
• determining a time window associated with the field professional based, at least in part, on the daily schedule of assigned tasks and the determination that the unplanned event is likely to interfere with the field professional completing the first task;
• identifying, from a database storing information pertaining to a plurality of pending requests for which tasks are available for scheduling, one or more alternative tasks that can be completed by the field professional within the time window based, at least in part, on at least one of:
• the GPS location data, the location of the second task, or a location of a third task scheduled to be performed after the first task;
• assigning to the field professional at least one alternative task of the one or more alternative tasks such that first task information stored in association with the at least one alternative task is updated;
• and
• unassigning the first task such that second task information stored in association with the first task is updated.