Abstract: Method and systems for scheduling tasks to field professionals include: receiving a request to book a new appointment for a service, wherein the service is expected to be completed within a time period; identifying a first possible time slot and a subsequent second possible time slot for the new appointment within the time period; calculating a first scheduling cost associated with the first possible time slot and a second scheduling cost associated with the second possible time slot; enabling selection of the second possible time slot when it is determined that both the first scheduling cost and the second scheduling cost are below a scheduling cost threshold; and outputting a no-available-time-slot notification when is determined that both the first scheduling cost and the second scheduling cost are above the scheduling cost threshold.

Abstract: Systems and methods for scheduling tasks to field professionals are provided. In one implementation, the system receives real-time information about a progress of a field professional assigned to a set of tasks. The real-time information may reflect a likelihood the field professional will complete the assigned a set of tasks. The system dynamically determines a window of opportunity to assign an additional task to the field professional based on the real-time information. Thereafter, the system identifies a plurality of optional tasks that the field professional can complete during the window of opportunity. In some cases, the window of opportunity includes an unplanned event likely to interfere with at least one scheduled task. The system can either present the optional tasks to the field professional and assign a task based on the field professional's selection; or automatically select a task for assignment to the field professional based on historical data.

Abstract: Systems and methods for scheduling parts delivery are provided. In one implementation, a system may receive a set of requests for on-site services, wherein the on-site services of at least some of the requests require parts. The system may further schedule a set of tasks corresponding to the set of requests for a field professional. In addition, the system may determine a set of parts the field professional is likely to require to complete the set of tasks, and determine that the field professional needs an additional part not currently in the field professional's assigned inventory to complete the set of tasks. Thereafter, the system may schedule a task for delivery in the field of the at least one additional part to the field professional.

Abstract: Systems and methods for scheduling tasks to field professionals are provided. In one implementation, the system receives real-time information about a progress of a field professional assigned to a set of tasks. The real-time information may reflect a likelihood the field professional will complete the assigned a set of tasks. The system dynamically determines a window of opportunity to assign an additional task to the field professional based on the real-time information. Thereafter, the system identifies a plurality of optional tasks that the field professional can complete during the window of opportunity. In some cases, the window of opportunity includes an unplanned event likely to interfere with at least one scheduled task. The system can either present the optional tasks to the field professional and assign a task based on the field professional's selection; or automatically select a task for assignment to the field professional based on historical data.

Abstract: Methods, apparatuses, and systems for scheduling tasks to field professionals include: receiving a set of requests for services; scheduling a set of tasks based on scheduling constraints, wherein each task is expected to be completed within a period of time from when a corresponding request was received; determining a common cause why at least two requests were not scheduled with tasks expected to be completed within the period of time, wherein the common cause is associated with at least one of the scheduling constraints; and enabling reducing the number of future unscheduled tasks based on the determination.

Abstract: Systems and methods for scheduling tasks to field professionals are provided. In one implementation, a system may receive a first request for an on-site service and schedule a task associated with the first request to be performed on a first scheduled date. After scheduling the task associated with the first request, the system may receive a second request from a connected device for an on-site service. The system may determine a time period that corresponds with an urgency level of the on-site service for the connected device, and schedule a task associated with the second request on a second scheduled date based on the urgency level. The first scheduled date and the second scheduled date may be the same date or different dates. Thereafter, the system may receive confirmation that the task associated with the first request and the task associated with the second request have been completed.

Abstract: Systems and methods for scheduling tasks to field professionals are provided. In one implementation, the system receives real-time information about a progress of a field professional assigned to a set of tasks. The real-time information may reflect a likelihood the field professional will complete the assigned a set of tasks. The system dynamically determines a window of opportunity to assign an additional task to the field professional based on the real-time information. Thereafter, the system identifies a plurality of optional tasks that the field professional can complete during the window of opportunity. In some cases, the window of opportunity includes an unplanned event likely to interfere with at least one scheduled task. The system can either present the optional tasks to the field professional and assign a task based on the field professional's selection; or automatically select a task for assignment to the field professional based on historical data.

Abstract: Method and systems for scheduling tasks to field professionals include: receiving a request to book a new appointment for a service, wherein the service is expected to be completed within a time period; identifying a first possible time slot and a subsequent second possible time slot for the new appointment within the time period; calculating a first scheduling cost associated with the first possible time slot and a second scheduling cost associated with the second possible time slot; enabling selection of the second possible time slot when it is determined that both the first scheduling cost and the second scheduling cost are below a scheduling cost threshold; and outputting a no-available-time-slot notification when is determined that both the first scheduling cost and the second scheduling cost are above the scheduling cost threshold.

Abstract: Method and systems for scheduling tasks to field professionals include: receiving from a user at least one request for at least one on-site service associated with a location; assigning at least one field professional to at least one task of providing the at least one on-site service at the location; following completion of the at least one on-site service, obtaining data associated with the at least one on-site service; receiving from the user an additional request for an additional service, wherein the additional service is associated with the same location; retrieving information including data associated with the at least one on-site service; and assigning a field professional to perform the additional service based on the retrieved information.

Abstract: A technique provides protection against malicious activity. The technique involves providing a mock token to fraudster equipment. The mock token appears to be a legitimate user token that identifies a legitimate user (e.g., an actual user token, a token seed, etc.). The technique further involves receiving, from the fraudster equipment, an authentication request which uses the mock token and, in response to receiving the authentication request which uses the mock token from the fraudster equipment, performing a set of authentication server operations to protect against future activity by the fraudster equipment (e.g., deny access to the fraudster equipment, acquire specific information about the fraudster equipment, output a message to subscribers of an eFraud network, and so on).