Abstract: Systems and methods for user experience prediction and mitigation. A notification that identifies a reported experience metric related to one or more user experiences associated with an event for a user is received. A predicted experience metric for the one or more user experiences associated with the event is obtained from a user profile for the user. A feedback delta is determined. The feedback delta is determined to be negative and exceed an experience threshold value. In response, at least one mitigation option among a plurality of mitigation options are identified in reaction to the feedback delta, and an instruction is triggered to a remote service that causes the remote service to effectuate the at least one mitigation option.

Abstract: Systems and methods for detecting disruption events that impact itineraries using data obtained from fragmented sources. A disruption event that impacts a segment of an itinerary is detected using data obtained from a number of fragmented sources. A record identifier associated with a reservation record generated in a reservation database in response to reserving the itinerary is identified. A disruption element corresponding to the segment is generated in the reservation record to store data indicating a net difference between a base state of the segment at a time of a ticketing of the itinerary and an actual state of the segment at a time the segment terminates. A difference between the base state and a state of the segment following the disruption event is determined. The disruption element is populated with data indicating the difference.

Abstract: Systems and methods for in-transit detection and mitigation of transportation service disruptions in the travel industry using fragmented source data. A notification including a record identifier is received. The notification identifies a disruption element created upon detecting a disruption event that impacts a segment of an itinerary. The record identifier corresponds to a reservation record that was generated responsive to reserving the itinerary. The reservation record is accessed to obtain data stored in the disruption element that indicates a net difference between a base state of the segment when ticketed and an actual state of the segment when the segment terminates. A disruption metric quantifying a relative impact of disruption events on the segment is determined using that disruption element data. One or more mitigation options that reduce the disruption metric are identified. An instruction is triggered that causes a remote service to effectuate those mitigation options.

Abstract: Systems and methods for composite travel disruption monitoring and mitigation in the travel industry using fragmented source data. Reservation records associated with a user profile are accessed in a reservation database. The reservation records are filtered to create a filter sub-set of reservation records that each have a disruption element storing data that indicates a net difference between a base state of a segment when ticketed and an actual state of the segment when the segment terminates. A disruption metric is determined for each segment quantifying a relative impact of disruption events on the segment using data stored in a corresponding disruption element. A composite disruption metric is determined based on the disruption metrics quantifying a cumulative impact of disruption events on a user associated with the user profile. At least one mitigation option is effectuated based on a comparison between the composite disruption metric and a defined threshold.

Abstract: Systems and methods for detecting disruption events that impact itineraries using data obtained from fragmented sources. A disruption event that impacts a segment of an itinerary is detected using data obtained from a number of fragmented sources. A record identifier associated with a reservation record generated in a reservation database in response to reserving the itinerary is identified. A disruption element corresponding to the segment is generated in the reservation record to store data indicating a net difference between a base state of the segment at a time of a ticketing of the itinerary and an actual state of the segment at a time the segment terminates. A difference between the base state and a state of the segment following the disruption event is determined. The disruption element is populated with data indicating the difference.

Abstract: Systems and methods for composite travel disruption monitoring and mitigation in the travel industry using fragmented source data. Reservation records associated with a user profile are accessed in a reservation database. The reservation records are filtered to create a filter sub-set of reservation records that each have a disruption element storing data that indicates a net difference between a base state of a segment when ticketed and an actual state of the segment when the segment terminates. A disruption metric is determined for each segment quantifying a relative impact of disruption events on the segment using data stored in a corresponding disruption element. A composite disruption metric is determined based on the disruption metrics quantifying a cumulative impact of disruption events on a user associated with the user profile. At least one mitigation option is effectuated based on a comparison between the composite disruption metric and a defined threshold.

Abstract: Systems and methods for in-transit detection and mitigation of transportation service disruptions in the travel industry using fragmented source data. A notification including a record identifier is received. The notification identifies a disruption element created upon detecting a disruption event that impacts a segment of an itinerary. The record identifier corresponds to a reservation record that was generated responsive to reserving the itinerary. The reservation record is accessed to obtain data stored in the disruption element that indicates a net difference between a base state of the segment when ticketed and an actual state of the segment when the segment terminates. A disruption metric quantifying a relative impact of disruption events on the segment is determined using that disruption element data. One or more mitigation options that reduce the disruption metric are identified. An instruction is triggered that causes a remote service to effectuate those mitigation options.