Nextiva, Inc.

A system and method are disclosed for assigning a ticket including one or more databases that store data describing electronic communication between one or more customer system communication devices and one or more service center communication devices. Embodiments further include a computer coupled with one or more databases and configured to monitor communication activity to determine whether a communication channel is opened between one or more customer system communication devices and one or more service center communication devices, responsive to a ticket being opened between one or more customer system communication devices and one or more service center communication devices, analyze the ticket for at least one topic and customer data, search the one or more databases for missing customer data, and in response to detecting missing customer data, identify one or more relationship models that predicts a value for the missing customer data based on known customer data.

A method of auto-provisioning AI-based dialog services for a plurality of target applications includes storing a plurality of dialog templates, generating a deployment object associating one or more of the dialog templates with a target application from among the plurality of target applications, extracting textual data from the target application, assembling the extracted textual data into inquiries or inquiry responses according to the one or more dialog templates associated with the deployment object, and deploying an AI-based dialog service to the target application based on the assembled inquiries or inquiry responses. Each of the dialog templates may include one or more sets of common inquiries or common inquiry responses.

A system and method are disclosed for assigning a ticket including one or more databases that store data describing electronic communication between one or more customer system communication devices and one or more service center communication devices. Embodiments further include a computer coupled with one or more databases and configured to monitor communication activity to determine whether a communication channel is opened between one or more customer system communication devices and one or more service center communication devices, responsive to a ticket being opened between one or more customer system communication devices and one or more service center communication devices, analyze the ticket for at least one topic and customer data, search the one or more databases for missing customer data, and in response to detecting missing customer data, identify one or more relationship models that predicts a value for the missing customer data based on known customer data.

A system and method are disclosed for generating a teleconference space for two or more communication devices using a computer coupled with a database and comprising a processor and memory. The computer generates a teleconference space and transmits requests to join the teleconference space to the two or more communication devices. The computer stores in memory identification information for each of the two or more communication devices. Each of the two or more communication devices transmits a communication system stream, comprising audiovisual information recorded by each communication device, to the computer. The computer stores each of the communication system streams in memory, and generates an outbound teleconference stream comprising at least one of the two or more communication system streams. The computer transmits the outbound teleconference stream to each of the two or more communication devices.

A system and method are disclosed and include databases that store data describing electronic communication between one or more user devices and one or more company devices and a computer. The computer displays a graphical user interface for monitoring communication activity of one or more one or more user devices and one or more company devices, to one or more company devices and monitors communication activity over one or more communication channels. The computer also records and stores the communication activity in the databases. The computer further displays a list of rules, the list of rules comprising triggers, conditions and actions for each of the one or more rules and a flow of each rule associated with the company of the one or more company devices and executes one or more actions responsive to one or more triggers, conditions or actions of each of the one or more rules.

A method of auto-provisioning AI-based dialog services for a plurality of target applications includes storing a plurality of dialog templates, generating a deployment object associating one or more of the dialog templates with a target application from among the plurality of target applications, extracting textual data from the target application, assembling the extracted textual data into inquiries or inquiry responses according to the one or more dialog templates associated with the deployment object, and deploying an AI-based dialog service to the target application based on the assembled inquiries or inquiry responses. Each of the dialog templates may include one or more sets of common inquiries or common inquiry responses.

A method of auto-provisioning AI-based dialog services for a plurality of target applications includes storing a plurality of dialog templates, generating a deployment object associating one or more of the dialog templates with a target application from among the plurality of target applications, extracting textual data from the target application, assembling the extracted textual data into inquiries or inquiry responses according to the one or more dialog templates associated with the deployment object, and deploying an AI-based dialog service to the target application based on the assembled inquiries or inquiry responses. Each of the dialog templates may include one or more sets of common inquiries or common inquiry responses.

A method of auto-provisioning AI-based dialog services for a plurality of target applications includes storing a plurality of dialog templates, generating a deployment object associating one or more of the dialog templates with a target application from among the plurality of target applications, extracting textual data from the target application, assembling the extracted textual data into inquiries or inquiry responses according to the one or more dialog templates associated with the deployment object, and deploying an AI-based dialog service to the target application based on the assembled inquiries or inquiry responses. Each of the dialog templates may include one or more sets of common inquiries or common inquiry responses.

A system and method are disclosed for scoring sentiments of communication activity and includes one or more databases that stores data describing electronic communication between one or more customer devices and one or more service center devices and a computer. The computer is configured to monitor communication activity of the one or more customer devices and the one or more service center devices to determine whether a communication channel has been opened between the one or more customer devices and the one or more service center devices and identify one or more communication activities associated with the electronic communications. The computer is further configured to compare the identified one or more communication activities with one or more predetermined communication data, determine a sentiment score based on one or more correlations between the identified one or more communication activities and the communication data.

A system and method are disclosed for an interface system comprising a communication device and a system administrator, the system administrator is configured to initiate a setup process, receive an identification number, receive user information, and in response to the setup process, associate the identification number with the user information.