Abstract: Disclosed are various embodiments for compliance detection using natural language processing. Various embodiments include a computing device that can generate a user interface for a compliance review device. The user interface can be configured to at least display at least one compliance violation, where the at least one compliance violation is associated with a portion of a transcript that is representative of an interaction occurring between at least an agent and a client, and where the portion of the transcript is based at least in part on one or more actions taken during the portion of the transcript. The user interface can further be configured to prompt the compliance review device for an outcome for the at least one compliance violation. The computing device can also receive the outcome for the at least one compliance violation and store the outcome in association with the at least one compliance violation.

Abstract: Disclosed are various embodiments for compliance detection using natural language processing. Various embodiments include a computing device that can transcribe a sound recording of a transcript, where the sound recording can be representative of a telephonic call occurring between an agent and a client. The computing device can determine that the telephonic call included a discussion related to a regulated subject based on an analysis by a natural language processor of the transcript. The computing device can obtain a compliance rule based at least in part on the regulated subject of the telephonic call. The computing device can determine that the compliance rule has been violated using a natural language processor of the transcript. The computing device can also store various information related to the compliance violation.

Abstract: Disclosed are various embodiments for compliance detection using natural language processing. Various embodiments include a computing device that can transcribe a sound recording of a transcript, where the sound recording can be representative of a telephonic call occurring between an agent and a client. The computing device can determine that the telephonic call included a discussion related to a regulated subject based on an analysis by a natural language processor of the transcript. The computing device can obtain a compliance rule based at least in part on the regulated subject of the telephonic call. The computing device can determine that the compliance rule has been violated using a natural language processor of the transcript. The computing device can also store various information related to the compliance violation.

Abstract: Systems and methods for optimizing user task schedules in a customer relationship management (CRM) platform is disclosed. In one example, a system comprising a computing device and a cache. The computing device is configured to generate child user task schedules and calculate task win probabilities of tasks for the child user task schedules using a machine learning system. The machine learning system is used to determine the plurality of task win probabilities. The computing device is also configured to calculate total task win probabilities for the child user task schedules based on the task win probabilities and is configured to determine an optimized user task schedule by selecting a respective user task schedule having a greatest total task win probability from a subset of the plurality of child user task schedules stored in the distributed cache.

Abstract: Systems and methods for optimizing user task schedules in a customer relationship management (CRM) platform is disclosed. The system may optimally input tasks into time slots in a user schedule to generate the optimized user task schedule. The system may generate a plurality of user task schedules and calculate a total task win probability for each of the user task schedules. The system may comprise the total task win probabilities and select the user task schedule having the greatest total task win probability. The system may also perform a genetic processing analysis of the user task schedules to further optimize task placement in the user task schedule.

Abstract: Systems and methods for optimizing user task schedules in a customer relationship management (CRM) platform is disclosed. The system may optimally input tasks into time slots in a user schedule to generate the optimized user task schedule. The system may generate a plurality of user task schedules and calculate a total task win probability for each of the user task schedules. The system may comprise the total task win probabilities and select the user task schedule having the greatest total task win probability. The system may also perform a genetic processing analysis of the user task schedules to further optimize task placement in the user task schedule.