Abstract: Aspects of the present disclosure relate to systems and methods for providing instructions (e.g., work instructions) to employees. Specifically, aspects of the present disclosure relate to a network service that dynamically determines instructions for each employee and provides the determined instructions to the employees while executing their duties. The network service can determine the instructions based on a set of inputs generated from each computing device and sensor data received from a plurality of sensors deployed at the workspace.

Abstract: Aspects of the present application relate to systems and methods for generating run-time workflows and assigning employees to the workflows by identifying attributes for each workflow. The workflow assignment can include determining a master plan, processing the master plan to generate a hierarchical data structure, periodically identifying workflows based on the lowest level of the data structure, determining attributes for each workflow in each period, and determining available employees for each workflow identified at each period.

Abstract: Aspects of the present disclosure relate to systems and methods for generating and providing training instructions. Specifically, aspects of the present disclosure relate to a network service that dynamically generates training instructions The network service can generate the training instructions based on a set of inputs generated from each computing device, employees' profile information, dynamically changed working environments, and/or sensor data received from a plurality of sensors deployed at the workspace. The network service can provide potential answers, having a data range to score each answer provided by the employees. The network service can also generate the training instructions sequentially or in random order. In addition, these training instructions can be provided once or recurrently. The network service can also utilize machine learning model to automatically generate the training instructions.