The present application discloses a voice dialogue processing method and apparatus. The voice dialogue processing method includes: determining a voice semantics corresponding to a user voice to be processed; determining a reply sentence for the voice semantics based on a dialogue management engine, a training sample set of which is constructed from a dialogue business customization file including at least one dialogue flow, and the dialogue flow includes a plurality of dialogue nodes in a set order; and generating a customer service voice for replying to the user voice according to the determined reply sentence.

In some implementations, a computing device may receive a selection of one or more contact center features, the contact center features associated with one or more micro services configured to execute the one or more contact center features. The computing device may select a model from a plurality of stored models based at least in part on the selection of the one or more contact center features, the selected model comprising programmable code configured to execute the one or more micro services. The computing device may provision the selected model to execute the one or more micro services. The computing device may generate executable code from the provisioned model using an automation server for deployment to one or more servers.

Systems and methods are configured for predictive prompt generation for an interaction between a party and an automated prompt system. In various embodiments, metadata is received on the interaction and provided as input to a multi-label predictive model to generate interaction probabilities for a plurality of prompt information data objects. Each probability generated by the predictive model provides a likelihood a particular information data object needs to be provided to the first party during the interaction. Accordingly, one or more of the prompt information data objects are identified based on the probability of each piece found in the one or more prompt information data objects that satisfy a set threshold and one or more notifications are provided so that the automated prompt system provides at least one of the prompt information data objects to the first party during the interaction.

A method for incorporating an augmented voice communication into a communication routing configuration of a contact center system according to an embodiment includes selecting a vocal avatar, wherein the vocal avatar includes phonetic characteristics having first values, receiving a text communication and input user parameters from an input user, generating the augmented voice communication based on the text communication and the input user parameters, wherein the augmented voice communication includes phonetic characteristics having second values, wherein the first values of the phonetic characteristics of the vocal avatar are different from the second values of the phonetic characteristics of the augmented voice communication, and incorporating the augmented voice communication into the communication routing configuration of the contact center system.

Methods, apparatus, systems, computing devices, computing entities, and/or the like for optimizing interaction flows. For example, upon receiving an inbound interaction, the interaction is routed to either a baseline interaction flow or one of a plurality of experimental interaction flows. Using one or more target metrics, the experimental interaction flows can be monitored and further configured to optimize the interaction flows and parameters.

An example method includes receiving, by a computational assistant executing at one or more processors, a representation of an utterance spoken at a computing device; identifying, based on the utterance, a task to be performed by the computational assistant; responsive to determining, by the computational assistant, that complete performance of the task will take more than a threshold amount of time, outputting, for playback by one or more speakers operably connected to the computing device, synthesized voice data that informs a user of the computing device that complete performance of the task will not be immediate; and performing, by the computational assistant, the task.

The graphical programming call router features a rich library of powerful and easy-to-use components that administrators can use to seamlessly drop in contact center actions such as data dips, complex interactive voice responses (“IVRs”) and call recordings, among many others. This makes it easy to visualize the exact structure and outcome of any call flow. The graphical programming call router also offers granular queue management functionality so you can get specific around call prioritization, wait time and time-based actions on virtual queues.

Certain aspects of the disclosure are directed to customization of a contact center, using a data communications server. According to a specific example, the data communications server includes circuitry configured and arranged to provide data communications services to a plurality of remotely-situated client entities. The data communications server further provides a graphical user interface (GUI) for each respective remotely-situated client entity, the GUI including a display of communications-based campaigns, interactive voice response (IVR) tools, and data analytics. Moreover, the data communications server provides a display on the GUI including selectable components to create for the associated remotely-situated client entity, a customization for handling incoming data communications by the data communications server. Accordingly, the data communications server may handle communications for the associated remotely-situated client entity according to the provided customization.

An example method includes receiving, by a computational assistant executing at one or more processors, a representation of an utterance spoken at a computing device; identifying, based on the utterance, a task to be performed by the computational assistant; responsive to determining, by the computational assistant, that complete performance of the task will take more than a threshold amount of time, outputting, for playback by one or more speakers operably connected to the computing device, synthesized voice data that informs a user of the computing device that complete performance of the task will not be immediate; and performing, by the computational assistant, the task.

When a customer initiates an interaction with an interactive voice response (“IVR”) system, the customer may need to be transferred to a live agent. Apparatus and methods may formulate timing information for integrating a live agent into an interaction controlled by an artificial intelligence (“AI”) engine. The system may integrate machine generated responses into a customer interaction controlled by a live agent. The system may formulate timing information for intercepting the live agent with responses generated by the AI engine. The system may formulate the timing information using interactional analytics and preferences of a specific customer.