A system for measuring effectiveness of a customer service platform comprises a server configured to receive a first set of data related to an interaction between a first person and an automated communication channel, receive a second set of data related to a conversation between the first person and a second person on a call, determine, from the first set of data, a third set of word(s) that describe an intent of the first person to perform a task via the customer service platform, determine, from the second set of data, a fourth set of word(s) that describes an outcome accomplished during the call, calculate a value that describes a similarity between the third set of word(s) and the fourth set of word(s), and determine an effectiveness measure of the customer service platform based at least in part on a comparison of the value with a pre-determined threshold.

Systems and methods for smart dialogue communication are provided. A method may include receiving, from a responder terminal device, a dialogue request configured to request a smart dialogue communication, wherein the dialogue request is associated with an incoming call request that is initiated by a requester via a requester terminal device and satisfies a smart dialogue condition determined by the responder terminal device; performing the smart dialogue communication with the requester terminal device associated with the requester; recording voice information associated with the smart dialogue communication; converting the voice information into the text information; and transmitting the text information to the responder terminal device.

The present disclosure provides, among other things, methods and systems of managing a first channel, including: receiving a request for a communication session on the first channel; determining that a monitored attribute of the communication session has met a first threshold; comparing, by a channel change analysis, a first performance measure of the first channel with a second performance measure of a second channel; and managing a channel change based on the determining and the channel change analysis.

A universal contact center service access point is mapped to a service access point specific to a determined modality to establish a connection between a user device and a contact center operator device and associated with that modality. A request for a contact center engagement is obtained from a user device, in which the request includes a universal contact center service access point. Responsive to the request, the universal contact center service access point is mapped, based on a record associating multiple modalities with the universal contact center service access point, to a service access point specific to one of those multiple modalities determined based on information associated with the user device. The contact center engagement is then facilitated over a connection, established based on the mapping, between the user device and a contact center operator device associated with the service access point.

Methods, systems, and computer programs are presented for searching and labeling the content of voice conversations. An Engagement Intelligence Platform (EIP) analyzes conversation transcripts to find states and information for each of the states (e.g., interest rate quoted and value of the interest rate). An annotator User Interface (IU) is provided for performing queries, such as, “Find calls were the agent asked the customer for their name and the customer did not answer;” “Find calls where the customer objected after the interest rate for the loan was quoted, “Find calls where the agent asked for consent for recording the call, but no customer confirmation was received.” The EIP analyzes the conversation and labels (e.g., “tags”) the text where the conversation associated with the label took place, such as, “An interest rate was provided.” The labels are customizable, so each client can define its own labels based on business needs.

A redirection bridge device, RBD (10, 20), comprising: —an API interface (300) comprising an API input (301), arranged capable of receiving a request (300A) from an application (APP) (30), arranged located on a user device (1100) associated with a user (1000), for the purposes of requesting metadata, said metadata being specific to at least one contact option (2100) arranged in association with at least one Enterprise (2000), a metadata store (310), for storing metadata specific to the at least one Enterprise (2000), and arranged to provide metadata to the API interface (300) in response to the request (300A), and, a Communications Manager (320), arranged in co-operation with the API interface (300) and the at least one contact option (2100), for facilitating contact between the user device (1100) and the at least one contact option (2100). A redirection bridge system, a communication system, a method of redirection bridging and use of a user interface and software product for implementation of the redirection bridging method.

Aspects of the disclosure relate to automated redistribution of queries to underutilized channels. A computing platform may monitor user traffic for one or more customer service communication channels. Subsequently, the computing platform may identify estimated wait times for a plurality of users to be served via the one or more channels. Then, the computing platform may initiate, via an intelligent virtual assistant, a communication with a given user of the plurality of users. Then, the computing platform may receive, via the intelligent virtual assistant, one or more attributes of a query of the given user. Then, the computing platform may select a channel of the one or more channels. Then, the computing platform may provide, to an enterprise agent associated with the selected channel, the one or more attributes of the query. Subsequently, the computing platform may direct the given user to the selected channel.

Techniques for determining a global state for multiple related calls are disclosed. A first call between a first device and a second device is established, where the first call is assigned a user call identifier. A second call between the first device and a third device is established. A shared call operation is established by assigning the user call identifier to the second call. The user call identifier is assigned to the second call in addition to already being assigned to the first call. A first status of the first call and a second status of the second call are determined. The first status and the second status are used to determine a global state of the shared call operation. The global state of the shared call operation is updated in response to one or both of the first status or the second status changing.

A dialing list comprising call records can be processed by a call handling component(s) in a contact center in various dialing modes. A call record may be processed to originate a voice call, where the agent manually dials the call as a voice telephone call. In another embodiment, one or more call records can be processed to originate a SMS text call or group text call, where the agent also determines when the call(s) originates. The agent is presented with a graphical user interface tailored to the dialing mode. The dialing mode used may be defined by the dialing list the call record is retrieved from, information from within the call record itself, application of a rule, or input from the agent. The dialing mode may be altered under certain conditions. When the call is originated, various compliance oriented tests, including calling windows and call attempts, are performed.

A method for creating a textual summary of a call includes transcribing speech to text in real time using a speech-to-text generating unit configured for execution upon one or more data processors, automatically matching, in real-time, text to predetermined intents and extracted entities using an intent recognizing unit for execution upon the one or more data processors, automatically mapping the predetermined intents and extracted entities into a call summary using one or more mapping functions, and displaying the call summary using an agent user interface for execution upon the one or more data processors. A contact center call summarization system may include a contact center communication device, a speech-to-text generating unit, an intent recognizing unit, and an agent user interface.