Disclosed here is a method to determine a user intent when a user device initiates an interactive voice response (IVR) call with a wireless telecommunication network. A processor can detect the IVR call initiated with the network and determine whether the user device is a member of the network. Upon determining that the user device is a member of the network, the processor can obtain user history including interaction history between the user and the network. Based on the user history, the processor can predict the user intent when the user initiates the IVR call. The processor can detect whether user device is a 5G capable device. Upon the determining that the device is 5G capable and based on the predicted user intent, the processor can suggest to the user an application configured to execute on the user device and configured to address the predicted user intent.

Methods to reduce agent effort and improve customer experience quality through artificial intelligence. The Agent Assist tool provides contact centers with an innovative tool designed to reduce agent effort, improve quality and reduce costs by minimizing search and data entry tasks The Agent Assist tool is natively built and fully unified within the agent interface while keeping all data internally protected from third-party sharing.

A user may respond to a request of another user by entering text, such as a customer service representative responding to a customer. As the user enters text, a suggested completion of the text may be suggested to the user so that the user may select the suggested completion instead of continuing to enter text. Previous messages between the two users and other information may be used to determine an appropriate suggested completion to the entered text. A neural network language model and a search graph may be used to select a suggested completion from a search graph of possible suggested completions.

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 computerized-method for improving queries operation in a multichannel contact center is provided herein. The computerized-method includes: (i) operating a stream processing application for each new query of a customer to store query-related data and to identify one or more queries of the customer in a cloud-contact data store. The cloud-contact data store may have one or more interactions-queue types, when one or more queries have been identified: (a) operating a repetition module on the identified one or more queries of the customer to filter out two or more queries having a common query-topic; (b) operating a Natural Language Understanding (NLU) module on the filtered two or more queries having a common topic to identify two or more identical queries. Each query of the identified two or more identical queries have a unique query identification number; and (c) handling the two or more identical.

Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to implement automated responses to data representing electronic messages, among other things, and, more specifically, to a computing and data platform that implements logic to facilitate implementation of an automated predictive response computing system independent of electronic communication channel or payload of an electronic message payload, the automated predictive response computing system being configured to implement, for example, an automated voice-text response engine configured to build and adaptively implement conversational data flows based on, for example, classification of an electronic message and a predictive response. In some examples, a method may include detecting an electronic message includes inbound voice data, analyzing inbound voice data, invoking an automated response application, and selecting a response, among other things.

A computer-implemented method for correlating payment service submissions and data captured from a call stream is described herein. The method comprises receiving data captured from a call stream by a data capture device; receiving a payment service submission comprising an identifier; determining an association between the identifier and the call stream; and replacing the identifier in the payment service submission with the data captured from the call stream associated with the identifier.

A system and method including receiving a request to enqueue a communication session; adding the communication session to the queue of a plurality of communication sessions; upon adding the communication to the queue, transferring control logic to the configured wait-state application; receiving a dequeue request initiated by a second entity; in response to the dequeue request, managing the procession of communication sessions in the queue; and dequeuing a communication session from the queue.

The present invention is a system and method for projective channel hopping within a customer engagement center (CEC) system. The CEC system receives a customer through a system entry point and receives, from the customer, a communication in a current customer service representative (CSR) channel in the CEC system. The CEC system assesses its ability to connect the customer with a CSR on the current CSR channel using a smart routing engine (SRE), which also assesses its current ability to connect the customer with a CSR on other equivalent CSR channels. Using the SRE, the CEC system compares its ability to connect the customer with a CSR on current and equivalent CSR channels to determine if the customer should remain on their current CSR channel or transfer to a new one. In the latter case, the CEC system offers the customer a chance to change channels or remain on their current channel.

Assigning an appropriate channel in an omni-channel contact center environment includes receiving, by a computer of the contact center, an incoming contact via a first communication channel, the incoming contact assignable to a plurality of available communication channels; queuing, by the computer, the incoming contact in a first queue associated with the first communication channel; determining, by the computer, a preferable communication channel from among the plurality of communication channels and the first communication channel; and when the preferable communication channel is one of the plurality of communication channels, determining whether to assign the incoming contact to the preferable communication channel.