Abstract: A cell site maintenance system. The system comprises a plurality of data stores, a processor, a memory coupled to the processor, and a part replacement prediction application stored in memory. When executed by the processor the application extracts features based on data read from the data stores, executes a plurality of part machine learning models, where each part machine learning model analyses some of the extracted features by a multi-label classification model trained for a specific part associated with that part machine learning model and each part machine learning model outputs a probability that the associated part can fix the cell site associated with the trouble ticket, and, based on a probability output by a part machine learning model associated with a first part exceeding a predefined threshold, determining that the first part is to be pulled from a part inventory to make ready for a service truck.

Abstract: A method is provided for verifying repairs in a communication system. In an embodiment, a service network receives a notification from an access network for a completed repair at the access network. The service network comprises a service node and the service network exchanges information with the service node through the access network. The service network retrieves a set of attributes from the notification and determines an identity of the service node using the set of attributes. A repair verification test is executed for the completed repair where the repair verification test is based upon the service node. Further, an outcome is determined for the completed repair based upon the repair verification test.