Abstract: Systems and methods are provided for asset utilization and trigger-based automation. A network management system may receive a receive a network management configuration that identifies a configuration of a set of assets to be allocated to a service. The network management system may generate an asset utilization dataset including a set of utilization values associated with the set of assets generated over a time. The asset utilization data set may be used to train a machine-learning model configured to generated predictions corresponding to a future utilization associated with the set of assets. The network management system may then execute the machine-learning model predict utilization of a first asset. Upon determining that the predicted utilization is greater than a threshold, the network management system may execute an action associated with the set of assets.