Systems and methods of gig-economy fleet mobilization
Systems and methods relating to improving the experience of gig-economy workers are disclosed, with particular reference to gig-economy work involving vehicle use. During or after performance of gig-economy work, data automatically collected may be used to generate and present recommendations or education points to gig-economy workers. Such recommendations may include targeted alerts to notify gig-economy workers of high-demand situations or to coordinate between gig-economy workers and gig-economy customers. Alerts may be generated based upon current excess demand for gig-economy services, as well as gig-economy worker availability and preferences. For example, alerts may be generated in response to detecting emergency conditions in an area in order to mobilize a large number of gig-economy transportation service providers.
1 . A computer-implemented method for coordination of gig-economy services, comprising:
obtaining, by one or more processors, an indication of a triggering event associated with an elevated level of current demand for a type of gig-economy service associated with an emergency condition in an area, which emergency condition is unplanned and affects a plurality of gig-economy service consumers associated with the area;
receiving, at the one or more processors, availability data regarding current availability of a plurality of gig-economy workers associated with a gig-economy platform for the type of gig-economy service;
obtaining, by the one or more processors, geospatial location data indicating a last known location of each respective computing device associated with each of the plurality of gig-economy workers; and
coordinating, by the one or more processors, performance of the type of gig-economy service by at least some of the plurality of gig-economy workers for at least some of the plurality of gig-economy service consumers during the emergency condition by:
identifying a plurality of inactive gig-economy workers of the plurality of gig-economy workers based at least in part upon each of such inactive gig-economy workers matching parameters associated with the elevated level of current demand, wherein identifying each of the plurality of inactive gig-economy workers comprises determining the respective inactive gig-economy worker (i) is likely to be currently located within a geographic area including the area and an additional area in proximity to the area based upon the last known location of the computing device of the inactive gig-economy worker, (ii) is not currently performing the type of gig-economy service and (iii) is indicated as being unavailable for gig-economy work through the gig-economy platform; and
causing an alert to be sent to routines running in the background of the respective computing devices of each of the plurality of inactive gig-economy workers to indicate the elevated level of current demand while a corresponding application associated with the gig-economy platform is inactive, wherein receiving the alert causes the respective routine of the respective computing device associated with each of the plurality of inactive gig-economy workers to present a foreground notification of the elevated level of current demand while the respective inactive gig-economy worker is not currently performing the type of gig-economy service and is indicated as being unavailable for gig-economy work through the gig-economy platform, such that the routines are configured to override settings of each of the respective computing devices to present the foreground notification on a display of each of the respective computing devices to the respective inactive gig-economy worker.
2 . The computer-implemented method of claim 1 , wherein obtaining the indication of the triggering event comprises:
obtaining, by the one or more processors, event data from one or more external data sources;
determining, by the one or more processors, occurrence of the triggering event based upon the event data; and
generating, by the one or more processors, the indication of the triggering event.
3 . The computer-implemented method of claim 2 , further comprising:
identifying, by the one or more processors, the plurality of gig-economy service consumers based upon an association between the area and each of the plurality of gig-economy service consumers.
4 . The computer-implemented method of claim 1 , wherein the type of gig-economy services includes on-demand transportation services.
5 . The computer-implemented method of claim 1 , wherein each of the plurality of inactive gig-economy workers is indicated as being unavailable for gig-economy work through the gig-economy platform by being logged out of a gig-economy platform application associated with the gig-economy platform on each of the respective computing devices.
6 . The computer-implemented method of claim 1 , further comprising:
identifying, by the one or more processors, the plurality of gig-economy service consumers based upon an association between the area associated with the emergency condition and each of the plurality of gig-economy service consumers.
7 . The computer-implemented method of claim 1 , wherein:
the emergency condition is associated with environmental damage to property, and
the type of gig-economy services includes repair or maintenance service for property.
8 . The computer-implemented method of claim 1 , further comprising:
determining, by the one or more processors, the elevated level of current demand for the type of gig-economy service exceeds the current availability of the plurality of gig-economy workers for the type of gig-economy service in the area.
9 . The computer-implemented method of claim 1 , wherein the notification includes an indication of a bonus payment for providing the type of gig-economy service in the area during the emergency condition.
10 . A computer system for coordination of gig-economy services, the computer system comprising:
one or more processors; and
a program memory coupled to the one or more processors and storing executable instructions that, when executed by the one or more processors, cause the computer system to:
obtain an indication of a triggering event associated with an elevated level of current demand for a type of gig-economy service associated with an emergency condition in an area, which emergency condition is unplanned and affects a plurality of gig-economy service consumers associated with the area;
receive availability data regarding current availability of a plurality of gig-economy workers associated with a gig-economy platform for the type of gig-economy service;
obtain geospatial location data indicating a last known location of each respective computing device associated with each of the plurality of gig-economy workers; and
coordinate performance of the type of gig-economy service by at least some of the plurality of gig-economy workers for at least some of the plurality of gig-economy service consumers during the emergency condition by:
identifying a plurality of inactive gig-economy workers of the plurality of gig-economy workers based at least in part upon each of such inactive gig-economy workers matching parameters associated with the elevated level of current demand, wherein identifying each of the plurality of inactive gig-economy workers comprises determining the respective inactive gig-economy worker (i) is likely to be currently located within a geographic area including the area and an additional area in proximity to the area based upon the last known geospatial location of the computing device of the inactive gig-economy worker, (ii) is not currently performing the type of gig-economy service and (iii) is indicated as being unavailable for gig-economy work through the gig-economy platform; and
causing an alert to be sent to routines running in the background of the respective computing devices of each of the plurality of inactive gig-economy workers to indicate the elevated level of current demand while a corresponding application associated with the gig-economy platform is inactive, wherein receiving the alert causes the respective routine of the respective computing device associated with each of the plurality of inactive gig-economy workers to present a foreground notification of the elevated level of current demand while the respective inactive gig-economy worker is not currently performing the type of gig-economy service and is indicated as being unavailable for gig-economy work through the gig-economy platform, such that the routines are configured to override settings of each of the respective computing devices to present the foreground notification on a display of each of the respective computing devices to the respective inactive gig-economy worker.
11 . The computer system of claim 10 , wherein the executable instructions that cause the computer system to obtain the indication of the triggering event cause the computer system to:
obtain event data from one or more external data sources;
determine occurrence of the triggering event based upon the event data; and
generate the indication of the triggering event.
12 . The computer system of claim 10 , wherein the type of gig-economy services includes on-demand transportation services.
13 . The computer system of claim 10 , wherein the executable instructions further cause the computer system to identify the plurality of gig-economy service consumers based upon an association between the area associated with the emergency condition and each of the plurality of gig-economy service consumers.
14 . The computer system of claim 10 , wherein the executable instructions further cause the computer system to determine the elevated level of current demand for the type of gig-economy service exceeds the current availability of the plurality of gig-economy workers for the type of gig-economy service in the area.
15 . The computer system of claim 11 , wherein:
the emergency condition is associated with environmental damage to property, and
the type of gig-economy services includes repair or maintenance service for property.
16 . A tangible, non-transitory computer-readable medium storing executable instructions for coordination of gig-economy services that, when executed by one or more processors of a computer system, cause the computer system to:
obtain an indication of a triggering event associated with an elevated level of current demand for a type of gig-economy service associated with an emergency condition in an area, which emergency condition is unplanned and affects a plurality of gig-economy service consumers associated with the area;
receive availability data regarding current availability of a plurality of gig-economy workers associated with a gig-economy platform for the type of gig-economy service;
obtain geospatial location data indicating a last known location of each respective computing device associated with each of the plurality of gig-economy workers; and
coordinate performance of the type of gig-economy service by at least some of the plurality of gig-economy workers for at least some of the plurality of gig-economy service consumers during the emergency condition by:
identifying a plurality of inactive gig-economy workers of the plurality of gig-economy workers based at least in part upon each of such inactive gig-economy workers matching parameters associated with the elevated level of current demand, wherein identifying each of the plurality of inactive gig-economy workers comprises determining the respective inactive gig-economy worker (i) is likely to be currently located within a geographic area including the area and an additional area in proximity to the area based upon the last known geospatial location of the computing device of the inactive gig-economy worker, (ii) is not currently performing the type of gig-economy service and (iii) is indicated as being unavailable for gig-economy work through the gig-economy platform; and
causing an alert to be sent to routines running in the background of the respective computing devices of each of the plurality of inactive gig-economy workers to indicate the elevated level of current demand while a corresponding application associated with the gig-economy platform is inactive, wherein receiving the alert causes the respective routine of the respective computing device associated with each of the plurality of inactive gig-economy workers to present a foreground notification of the elevated level of current demand while the respective inactive gig-economy worker is not currently performing the type of gig-economy service and is indicated as being unavailable for gig-economy work through the gig-economy platform, such that the routines are configured to override settings of each of the respective computing devices to present the foreground notification on a display of each of the respective computing devices to the respective inactive gig-economy worker.
17 . The tangible, non-transitory computer-readable medium of claim 16 , wherein the type of gig-economy services includes on-demand transportation services.
18 . The tangible, non-transitory computer-readable medium of claim 16 , wherein the executable instructions further cause the computer system to identify the plurality of gig-economy service consumers based upon an association between the area associated with the emergency condition and each of the plurality of gig-economy service consumers.
19 . The tangible, non-transitory computer-readable medium of claim 16 , wherein the executable instructions further cause the computer system to determine the elevated level of current demand for the type of gig-economy service exceeds the current availability of the plurality of gig-economy workers for the type of gig-economy service in the area.
20 . The tangible, non-transitory computer-readable medium of claim 16 , wherein the executable instructions that cause the computer system to obtain the indication of the triggering event cause the computer system to:
obtain event data from one or more external data sources;
determine occurrence of the triggering event based upon the event data; and
generate the indication of the triggering event.