Abstract: A worker resource management system may include a voice-directed mobile terminal that enables a dialog between a user and the voice-directed mobile terminal. At least one computer may be in communication with the mobile terminal. The computer can include a worker resource management module that receives and records user activity from the voice-directed mobile terminal. The worker resource management module can identify user productivity patterns and provide work assessment predictions based at least in part upon the user activity that is received and recorded. Management can make worker resource decisions in response to the user productivity patterns identified or the work assessment predictions provided by the worker resource management module.

Abstract: A voice controlled apparatus for performing a workflow operation is described. The voice controlled apparatus can include a microphone, a speaker, and a processor. In some examples, the voice controlled apparatus can generate, via the speaker, a voice prompt associated with a task of a workflow and identify, via the microphone, a voice response received from a worker. In this regard, the voice prompt and the voice response can be a part of a voice dialogue. Further, the processor of the voice controlled apparatus can identify a performance status associated with the execution of the task, before providing a next voice prompt subsequent to the voice prompt. In this aspect, the performance status can be identified based on analyzing the voice dialogue using a machine learning model. Furthermore, the voice controlled apparatus can generate a message including a suggestion to improve the performance status of the task.

Abstract: A worker resource management system may include a voice-directed mobile terminal that enables a dialog between a user and the voice-directed mobile terminal. At least one computer may be in communication with the mobile terminal. The computer can include a worker resource management module that receives and records user activity from the voice-directed mobile terminal. The worker resource management module can identify user productivity patterns and provide work assessment predictions based at least in part upon the user activity that is received and recorded. Management can make worker resource decisions in response to the user productivity patterns identified or the work assessment predictions provided by the worker resource management module.

Abstract: A worker resource management system may include a voice-directed mobile terminal that enables a dialog between a user and the voice-directed mobile terminal. At least one computer may be in communication with the mobile terminal. The computer can include a worker resource management module that receives and records user activity from the voice-directed mobile terminal. The worker resource management module can identify user productivity patterns and provide work assessment predictions based at least in part upon the user activity that is received and recorded. Management can make worker resource decisions in response to the user productivity patterns identified or the work assessment predictions provided by the worker resource management module.

Abstract: A worker resource management system may include a voice-directed mobile terminal that enables a dialog between a user and the voice-directed mobile terminal. At least one computer may be in communication with the mobile terminal. The computer can include a worker resource management module that receives and records user activity from the voice-directed mobile terminal. The worker resource management module can identify user productivity patterns and provide work assessment predictions based at least in part upon the user activity that is received and recorded. Management can make worker resource decisions in response to the user productivity patterns identified or the work assessment predictions provided by the worker resource management module.