Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently dispatching vehicles to a vehicle service center to progress vehicles at a predefined rate through sequential stations of the vehicle service center. The disclosed systems can analyze services associated with vehicles. Based on the services, the disclosed systems can determine how to order, within a virtual queue, vehicles corresponding to the services. For example, the disclosed systems can predict a complexity associated with a service for a vehicle, and in turn, determine whether adding the vehicle to the service queue will allow the vehicle to move through a set of sequential stations in accordance with the predefined progression rate. In response, the disclosed systems can dispatch the vehicle, refrain from dispatching the vehicle, or otherwise dynamically respond to enable the vehicle to move through the set of sequential stations in accordance with the predefined progression rate.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently and dynamically managing a vehicle service center. For example, a vehicle service system analyzes information associated with vehicles scheduled for service at a vehicle service center comprising a set of sequential stations. Based on the analyzed information, the vehicle service system can determine an allocation of tasks and an allocation of resources for each station. In turn, the disclosed systems can customize, for display on display devices within the vehicle service center, task allocation user interfaces in accordance with a task allocation. Further, the vehicle service system can monitor a completion progress for the task allocation and, based on the completion progress, generate an adjusted task allocation for the given stage of progression.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for dynamically allocating resources within a vehicle service center for vehicles within a service queue. In some embodiments, the disclosed systems can analyze services associated with vehicles to intelligently determine how to allocate resources within the vehicle service center. For example, based on the analysis of services, the disclosed systems can determine a task allocation that will allow vehicles in the service queue to progress through a set of sequential stations at a predefined progression rate. In addition, the disclosed systems can generate a component allocation indicating a distribution of one or more machines across the set of sequential stations, and then cause the one or more machines to complete one or more tasks in the time allotted by the predefined progression rate and in accordance with the task allocation and the component allocation.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently dispatching vehicles to a vehicle service center to progress vehicles at a predefined rate through sequential stations of the vehicle service center. The disclosed systems can analyze services associated with vehicles. Based on the services, the disclosed systems can determine how to order, within a virtual queue, vehicles corresponding to the services. For example, the disclosed systems can predict a complexity associated with a service for a vehicle, and in turn, determine whether adding the vehicle to the service queue will allow the vehicle to move through a set of sequential stations in accordance with the predefined progression rate. In response, the disclosed systems can dispatch the vehicle, refrain from dispatching the vehicle, or otherwise dynamically respond to enable the vehicle to move through the set of sequential stations in accordance with the predefined progression rate.