Methods and systems for appointment booking

Abstract

Methods and systems for scheduling tasks for a two-route process for appointment booking include: receiving a request to book a new appointment for a service; outputting a first booking response for the request, wherein the first booking response is determined using a multi-route model, wherein the multi-route model is configured to determine booking responses in multiple different ways; and verifying the first booking response based on a second booking response determined using the multi-route model.

Description

CROSS REFERENCES TO RELATED APPLICATIONS[0001]This application claims the benefit of priority of U.S. Provisional Patent Application No. 62 / 785,423, filed on Dec. 27, 2018; and U.S. Provisional Patent Application No. 62 / 871,397, filed Jul. 8, 2019. All of the foregoing applications are incorporated herein by reference in their entirety.BACKGROUNDI. Technical Field[0002]The present disclosure relates generally to the field of managing service organizations. More specifically, the present disclosure relates to systems, methods, and devices for providing services such as services provided by professionals or experts in the field.II. Background Information[0003]One aspect of process management involves matching available resources to the tasks to be performed by or within an organization. In the service providers industry, for example, the main resources are the service professionals (such as field technicians, help desk or customer service operators, insurance assessors, business consu...

AI Technical Summary

Benefits of technology

This patent describes a system, method, and computer-readable media that can identify the causes of unscheduled tasks. It receives a set of requests for services and schedules tasks based on specific requirements. By analyzing the common causes of unscheduled tasks, it can predict and reduce the number of future unscheduled tasks. This improves efficiency and saves time for service providers.

Problems solved by technology

The service tasks are usually initiated by customer requests, and typically cannot be precisely predicted on the micro-level, as there is no way to know when a customer will call and request assistance.

Service providers thus face the challenge of accurately managing the size, mix of skills, and regional allocation of their resources.

Erring by allocating too few resources results in failing to meet customer expectations, risking losing customers, and sometimes requiring the service organization to pay contract-specified penalties.

Erring by allocating too many resources results in spending excessive money on resources that are not fully utilized.

The on-site service for the connected device may have an associated urgency level.

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