Abstract: Disclosed herein are embodiments of systems, methods, and products comprises an analytic server for electronic requests routing and distribution. The server receives a plurality of requests from a plurality of electronic user devices. Aiming to routing the plurality of requests to appropriate agents, the server trains an artificial intelligence model for each agent based on historical data. For each request, the server executes the artificial intelligence model to determine a score indicating the probability of the agent converting the request to a successful sale. The server determines an entropy value for each request based on the scores and order the requests into a queue based on the entropy values. The server also calculates a capacity for each agent based on historical agent data. For each request in the queue, the server routes the request to an agent based on at least one of the score and capacity of the agent.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective automated interactions with IVR systems. For example, various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective automated interactions with IVR systems using voice prompt classification machine learning models, IVR navigation tree data objects, resource allocation shares for resource utilization categories, and automated IVR session queues for resource utilization categories.

Abstract: Embodiments of the disclosure provide a method of processing messages received in an asynchronous communication system. In some embodiments, the method includes analyzing interactions on a digital communication channel, determining that the interactions have paused for an amount of time, analyzing content of the interactions to determine an estimate of the amount of time, updating a state of the agent to release the agent for the estimated amount of time, and setting a timer that will automatically change the state of the agent back to an occupied state for the interactions at a future time that aligns with an expiration of the timer.

Abstract: A telephone answering service support system including a task data DB 14g that stores a plurality of task data items, each task data item including a task name of a task in a telephone answering service and speech data indicating speech to be made in the task, a task list obtaining unit 14d that displays the task name on a display of an operator of the telephone answering service, and a task determining unit 14e that determines which task has been completed among the plurality of tasks corresponding to the plurality of task data items, based on voice of the operator and the speech data, and executes, in a case where it is determined that any of the tasks has been completed, display control for distinguishing the task name of the task that is determined to have been completed from other task names.

Abstract: Methods, systems, and computer program products for context-based response generation are provided herein. A method includes: obtaining conversation logs comprising agent responses matched to contexts and a set of designated responses that are not matched to the contexts; replacing at least a portion of the agent responses with the designated responses to form modified conversation logs; training a first model, using the modified conversation logs, to output a designated response in the set for a given context and a second model, using the historical conversation logs, to output one of the agent responses for a given context; identifying one or more new responses based at least in part on the output of the second machine learning model for a particular one of the contexts; and retraining the first machine learning model based at least in part on the one or more new responses.

Abstract: Data analysis, filter, and presentation techniques are described for an example call management system. An example method for a data management system includes receiving, from a user device, an account identifier of a first person, receiving, from the user device, a first message related to a topic of conversation to be discussed during a telephone call with the first person, determining, based on the account identifier and within a pre-determined time period, a presence of a set of data that describes conversation(s) from prior telephone call(s)/chat(s) with the first person, and sending, to a computer, at least some data from the set of data and a second message that indicates that the telephone call is mapped to a second person, where the computer is configured to display on a screen the second message and a presentation option that presents the at least some data via the computer.

Abstract: A system and method for omnichannel text-based routing, interaction transfer, and customer-to-enterprise communications. The system is a cloud-based network containing an interaction control server, a routing engine, a media translation server, a mobile application, a business entity portal, mobile and compute devices for business enterprise and customer, and an enterprise database. Taken together or in part, said system optimizes customer interactions by delivering context aware text message, chat or email to customers; and when requested by customer, optimally routes with context, based upon a multitude of variables, to best available resource to handle the customer interaction. The system may be accessed through web browsers or purpose-built computer and mobile phone applications.

Abstract: One embodiment provides a method, the method including: receiving, at an information handling device, an active communication; determining, using a scam detection system, the active communication is received from a scamming entity; transferring, using the scam detection system, the active communication to an automated conversation agent; and interacting, using the automated conversation agent, with the scamming entity.

Abstract: Media content event review systems and methods are operable to present member content reviews of a media content event by presenting a plurality of member avatars in a virtual world, wherein the member avatars present audio commentary about a media content event identified in a user request, and wherein the community members who generated the audio commentary about the media content event have an interpersonal relationship with the requesting user.

Abstract: A system and method for multi-channel dynamic advertisement testing. The system comprises a multi-platform adaptive ad campaign manager, a dynamic advertisement engine, a campaign database, and an omnichannel text-based communicator. The system receives customer interactions with two advertisement test variants, establishes a real-time media stream between a customer device and a second user device, and monitors the media stream to collect data related to effectiveness of the advertisement variants. The system may analyze media stream data together with a plurality of other data types to statistically determine which of the two advertisement variants resulted in better performance based on a variety of advertisement metrics. The system may use the plurality of data and the statistical analysis to suggest an advertisement element to be altered in the next round of advertisement variant testing. This system can combine data collection and analytics for an ad campaign together into one system.

Abstract: Apparatuses and methods concerning providing a data-communications virtual assistant are disclosed. As an example, one apparatus includes a data-communications server. The data communications server is configured to process user-data-communication between a client station and another client station participating in data-communications via the data-communications server, where each client station is associated with one client entity. The server is also configured to identify a context for each user-data-communication between the client station and the other client station, where the context corresponds to at least one communications-specific characteristic associated with the user-data-communication.

Abstract: A system is disclosed. The system comprises a service platform associated with a call center, the service platform comprising an applications server configured to communicatively couple to a softswitch and a database. The applications server is configured to receive an inbound communication, determine a source of the inbound communication, and identify one or more configuration parameters associated with a destination of the inbound communication, the destination of the inbound communication associated with a client of the call center. The applications server is configured to route the inbound communication to an agent associated with the call center to establish a communication session. The applications server is configured to send, to the client based on the one or more configuration parameters associated with the destination of the inbound communication, a notification that the inbound communication was received, the notification identifying the source of the inbound communication.

Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors perform: receiving, by a chat bot and from a user, an indication to talk to a live agent; calling, by the chat bot, an automatic call distribution server to initiate a live-agent session for the user; storing metadata for the live-agent session in a distributed table and a distributed queue; pulling, from an automatic call distribution connector, one or more messages from a conversation between the user and the chat bot based on the metadata; and connecting the live agent to the user in the live-agent session, wherein the user communicates with the live agent in the live-agent session through a same interface for the chat bot. Other embodiments are disclosed.

Abstract: A customer who is contacting customer care via a support session regarding a problem is classified into a customer category of multiple customer categories based at least on customer account information of the customer. A customer care topic in a predetermined set of multiple customer care topics that correspond to the problem is then identified via machine learning. A topic script that corresponds to the customer category of the customer for the customer care topic in the predetermined set of customer care topics is further retrieved or generated, in which the topic script includes one or more topic issues related to the customer care topics. The topic script is provided for presentation to a customer service representative (CSR) to prompt the CSR to discuss the one or more topic issues related to the customer care topic with the customer.

Abstract: A solution is proposed for controlling invocations of a target component by multiple source components in a software application. A corresponding method comprises associating a plurality of source components in a software application with one or more corresponding source rates for invoking a target component in the software application; monitoring corresponding invocations of the target component by a number of instances of the plurality of source components; receiving an enablement request for a new invocation of the target component from a current instance of a current source component; verifying an enablement of the new invocation; estimating a serving probability indicative of a residual capability of the target component to serve the new invocation; and enabling the new invocation according to the serving probability.

Abstract: A system and method for call transcription and summarization using generative artificial intelligence. The system combines Automatic Speech Recognition (ASR) technology to transcribe customer-call center agent conversations and a Generative AI (GAI) model for summarization. It starts by processing the audio conversation, converting spoken words into text using ASR. Then, the GAI model is employed to generate a coherent, concise summary of the transcribed conversation. The GAI model understands context, key points, and intent, allowing it to create summaries that capture essential information. It can handle diverse conversations, adapt to different languages, and handle various accents and speech patterns. The resulting summaries help call center agents review and respond to customer inquiries more efficiently, enhancing customer service quality and decision-making.

Abstract: Automated systems and methods are provided for processing natural language, comprising obtaining first and second digitally-encoded speech representations, respectively corresponding to an agent script for and a voice recording of a telecommunication interaction; generating a similarity structure based on the speech representations, the similarity structure representing a degree of semantic similarity between the speech representations; matching markers in the first speech representation to markers in the second speech representation based on the similarity structure; and dividing the telecommunication interaction into a plurality of sections based on the matching.

Abstract: Provided are a method, system, and computer program product in which a service orchestration layer is configured in a telecommunications network. Personalized pending user actions are transmitted to a user equipment, in response to a hold being performed over a first communications channel to the user equipment.

Abstract: Systems and methods provide quality analysis related to member service representatives and interactions communicating with users over social media networks. The systems and methods can generate an interaction quality score between a member services representative and a user of a social media network by aggregating a tone score and an execution score based on the interaction data.

Abstract: In some examples, a computing device may determine that an issue (e.g., crash, restart etc.) occurred, gather context data (e.g., logs, device profile, etc.) associated with the issue, and generate a contact address to technical support based on the context data. The computing device may upload the context data to a location accessible to a server. After a user of the computing device initiates a communication to technical support using the contact address, the server may automatically route the call, based on the contact address, to a particular technician that has experience addressing the issue. The server may retrieve the context data and use machine learning to determine recommendations to address the issue. The machine learning may prioritize the recommendations and provide the context data and the prioritized recommendations to enable the particular technician to quickly resolve the issue.

Abstract: A call management system of a call center identifies an inbound caller based upon computer analysis of customer identifiers, which may include at least two of customer name, street address, and zip code. Approximate string matching analysis matches n-grams generated from strings within customer identifiers, with n-grams generated from customer identification fields while searching one or more databases. Approximate string matching can incorporate a closeness metric based on Jaccard distance, and a Gaussian mixture model of best matches. In one embodiment, a Polymr search engine analyzes customer identifiers of inbound callers to retrieve customer data, such as customer demographic data, matched to the customer identifiers. In another embodiment, the Polymr search engine analyzes customer identifiers of inbound callers to identify repeat callers and retrieve previously collected customer data.

Abstract: An identify resolution system performs actions comprises a set-up process and an identity resolution process that executes asynchronously with respect to the set-up process. the set-up process includes accessing machine data including a plurality of event data objects, each event data object of the plurality of event data objects including timestamped raw machine-generated data indicative of performance or operation of one or more entities in a computer network environment. The identity resolution process ascertains the identity of an entity associated with the computer network environment, based on the association data in the data store, wherein the identity of the entity is not expressed directly in the association data in the data store.

Abstract: A method for using artificial intelligence and machine learning to automatically generate commentary that relates to quantitative data is provided. The method includes: receiving a first tabular data set; identifying a first cell having numeric data from within the first tabular data set; associating a first column header and a first row header with the first cell; assigning a respective header type to each of the first column header and the first row header; mapping each of the first cell, the first column header, and the first row header to a first comment from among a set of comments; and augmenting the first comment by generating additional text that supplements the first comment.

Abstract: A system and method for operating and testing real-time communications between web browsers and contact centers, comprising an operator network, cloud contact center, cloud contact center agent application, and a synthetic software agent comprised of agent automation software, injected API shim code, virtual audio devices, audio processing applications, and media servers, capable of performing automated and to end communication testing. In order to provide end to end testing, especially with respect to voice quality, the synthetic agent software may control and monitor the audio channels (both send and receive) of the browser communication session.

Abstract: Intelligent systems for detecting SIM swap in mobile devices, wherein if a user requests access to an account via a mobile device, a mobile device application (MDA) sends the request along with mobile device ID and IMSI. If all information received from the MDA matches information stored in memory, the user can access the account. If the mobile device ID or IMSI received from the MDA do not match the mobile device ID or IMSI stored in memory, a social intelligence module compares a mobile device user profile with a profile for a user associated with the account ID. If the mobile device user profile matches or is within a confidence level of the profile for the user associated with the account ID, the user can access the account. Otherwise, additional methods to validate the user may be implemented to prevent possible fraudsters from accessing the account.

Abstract: Systems and methods are disclosed for generating a dynamic customized script to facilitate communication between a user and a service provider. The method includes receiving, via an interactive voice response (IVR) system, a request from a mobile device associated with at least one user. The contextual information associated with at least one user is processed, in real-time, based, at least in part, on the request. A dynamic customized script specific to the request is generated, in real-time, based, at least in part, on the processing of the contextual information. The request is routed, via the IVR system, to an agent from a pool of agents of the service provider. A presentation of the dynamic customized script is generated in a user interface of a device associated with the agent, wherein the dynamic customized script is step-by-step guidance to the agent for handling the request of at least one user.

Abstract: One disclosed example system includes a reception room meeting device configured for establishing a video conference with a device associated with a remote receptionist. The reception room meeting device sends a request for a video meeting with one of a plurality of candidate remote receptionists in response to receiving an activation signal triggered by a visitor to a reception area, and establishes the video meeting with a device associated with one remote receptionist selected based on the request. The system further includes a virtual receptionist system configured to access visitor data obtained by various input devices at the reception area, and determine the status of the visitor based on the visitor data. The virtual receptionist system further transmits the status of the visitor to the device associated with the selected remote receptionist to facilitate the check-in process.

Abstract: A call conversion tracking system that automatically tracks call-based communications initiated from web-based invitational content id disclosed. The system generates and presents a web-based invitation that includes a dynamically assigned telephone number that is assigned to an anonymous web visitor with advertising metadata that is usually sent to a web server when a user clicks (or taps) an online ad.

Abstract: Various examples are directed to systems and methods for detecting potentially fraudulent voice calls to a financial services institution. A computing system may receive an indication of a voice call placed by a voice caller to an operator. The computing system may generate a network address indicator describing a network location. The network address indicator may be provided to the voice caller. The computing system may receive an indication of a financial services account indicated by the voice caller. The computing system may also receive an indication of an access to the network location by a remote device. The computing system may determine, using the indication of the access to the network location, a first location associated with the remote device and determine that the first location does not match a second location associated with the financial services account. The computing system may generate an alert indicating that the voice call is potentially fraudulent.

Abstract: Methods and systems described in this disclosure describe an integration of video sessions across platforms, transforming the user experience. In some embodiments, a user can participate in an interaction via a channel. Next, the system can determine whether the interaction is eligible for a video session with a representative. When the interaction is eligible for the video session, an option for the video session can be displayed on a user interface of the device. After receiving a request for the video session, the video session can be routed to a uniquely skilled representative, where the uniquely skilled representative is determined based, at least in part, on the interaction.

Abstract: A system comprises a database configured to store a plurality of baseline scripts, an applications server communicatively coupled to the database, and an analytics engine. Each of the plurality of baseline scripts is associated with a client of a call center and comprises a plurality of questions for guiding a communication session between an agent and a party. The applications server is configured to monitor a plurality of communication sessions. Each of the plurality of communication sessions is guided by a respective one of the plurality of baseline scripts. The applications server is further configured to obtain information about an actual call flow of each of the communication sessions and send the obtained information about the actual call flow of each of the communication sessions to the analytics engine. The analytics engine is configured to determine one or more proposed changes to a baseline script.

Abstract: A process and system for managing incoming video emergency calls (VECs) at a command center relative to an incident includes receiving first and second VECs from respective first and second recording and transmitting devices reflecting a first incident. Identifying the second VEC as a preferred one of the first and second VECs based on one or both of a quality and a field-of-view between the first and second VECs, and responsively causing the identified second VEC to be forwarded to a first live call taker and the first VEC to a VEC monitoring bot configured to continue to monitor video content of the first VEC and refrain from forwarding the first VEC to the first live call taker. The first VEC may be forwarded to the first live call taker at a lower relative resolution.

Abstract: A first device may receive a request to establish a replication session between a second device and a third device, where the replication session is associated with replicating user interactions with a user interface of an application across a first instance and a second instance of the application. The first device may receive, after receiving the request, information identifying a set of interactions by a user of the second device with a first user interface provided for display by the first instance. The first device may determine, from the information, a set of instructions related to causing an indication for the set of interactions to be provided for display on a second user interface provided for display for the second instance based on the information being received from the second device. The first device may provide, after determining the set of instructions, the set of instructions to the third device.

Abstract: Methods and systems described in this disclosure receive a request for assistance from a device associated with a user, launch a conversational virtual assistant on the device, determine at least one potential subject of the request based on information associated with the user and a tab or webpage from which the conversational virtual assistant is launched, receive a verification of the subject of the request, create a contact menu with options for receiving the assistance, and receive a selection of one of the options.

Abstract: Technology for placing a user on-hold can include sending a push notification to a user device after the call has been placed on-hold. A link in the push notification can request authentication credentials from the user. When the authentication credentials have been received and verified, a chat window can be launched via an application on the user device. The intent of the call can be determined based at least in part by information received via the chat window. The authentication information and the intent of the call can be transferred to a representative answering the call.

Abstract: A user terminal emulation server is provided that provides operational functionality of a user terminal using a networked set of I/O user devices that are determined to be proximately located to a user and to have user interface capabilities that are combinable to provide the user with the ability to receive or initiate a communication service with another user terminal through a network entity. The operations for emulating a user terminal may alternatively be performed by an I/O user device that provides communication services (using other I/O user devices.

Abstract: To allow the human customer service agents to specialize in the instances where human service is preferred, but to scale to the volume of large call centers, systems and methods are provided in which human agents and intelligent virtual assistants (IVAs) co-handle a conversation with a customer. IVAs handle simple or moderate tasks, and human agents are used for those tasks that require or would benefit from human compassion or special handling. Instead of starting the conversation with an IVA and then escalating or passing control of the conversation to a human to complete, the IVAs and human agents work together on a conversation.

Abstract: A computer-implemented method and system for enhancing interaction between a customer using a client computer and a customer service representative of a company using a workstation. A Web session is commenced on a Web site for the client computer of the customer, wherein the Web session includes displaying a first Web page to the customer. A telephonic interaction is commenced between the customer and the customer service representative and a split screen is displayed on the workstation. The split screen including the first Web page and a second Web page, wherein the second Web page is only viewable by the customer service representative. An application is caused to be moved from the second Web page to the first Web page for review and interaction by the customer via the client computer.

Abstract: The various implementations described herein include methods, systems, and devices for Augmented Reality (AR) based messaging. In one aspect, a method includes processing a user request to create and place an avatar (e.g., a virtual representation of a user) at a user-specified location. In another aspect, a system manages placement of avatars at various geo locations, allows users to interact with avatars, and manages avatar-avatar interactions with or without user controls. In yet another aspect, a device is provided allowing a user to create, manage, and view avatar-based tags. Additionally, various user interfaces are provided to support the user to create, manage, and view avatars.

Abstract: Systems and methods for customer journey optimization are described.

Abstract: At least some embodiments are directed to a system to compute uniform structured summarization of customer chats. In at least some embodiments, the system may operate a processor and receive a corpus of chats between customers and customer service representatives of an enterprise. Grouping the corpus of chats into subgroup task types and then extracting chat keywords and chat related words for each subgroup task type. Generating an expandable template data structure for each subgroup task type. Processing at least one chat to extract chat utterances and chat snippets ranking the chat utterances and chat snippets. Populating the expandable template data structure based on rankings to generate a chat summary data structure.

Abstract: A method, computer program product, and computer system for placing, by a computing device, a user into a first queue on a first communication channel to converse with a second user. A trigger may be identified for the first communication channel. The user may be sent a self-service option based upon, at least in part, identifying the trigger for the first communication channel, wherein the self-service option is sent on an alternate communication channel while the user is in the first queue.

Abstract: A communication router and hub are provided. In examples, a communication platform enables communication between a customer and a service. Customer information associated with a customer is stored as part of a customer record. The customer record may be associated with the customer using a customer address (e.g., a telephone number or an email address) and/or a communication address associated with the service. Thus, in response to a subsequent communication, the communication platform may identify the customer record based at least in part on the customer address and the service communication address, thereby enabling improved communication routing for incoming and outgoing communications associated with the customer. Additionally, customer information from the customer record may be presented to an experience agent of the service, such that the experience agent is able to better assist the customer.

Abstract: Data intake and query system (DIQS) instances supporting applications including lower-tier, focused, work group oriented applications, are tailored to display the metrics for the needs of the user. An interface caused by operation of an entity monitoring system (EMS) operating in conjunction with the lower-tier DIQS displays the monitored entities as individual representations. The user selects a metric and a metric threshold. The EMS causes a display of an interface having a representation for each monitored entity. Each representation includes a metric value and indicates an entity status based on the metric value and the threshold. The user can dynamically change the threshold on the interface for easy visualization of aggregation of monitored entities to determine the performance of the infrastructure. The interface also provides the user with the ability to select an entity and click through to the entity analysis workspace for more detailed information.

Abstract: The present disclosure generally relates to contact management and communication with contacts. On a portable electronic device having a display a plurality of affordances associated with a plurality of contacts are displayed. A first user input is received selecting a first affordance of the plurality of affordances for a first contact of the plurality of contacts. In response to receiving the first user input and in accordance with a determination that a first communication application is in a set of communication applications installed on the portable electronic device, a contact information interface is displayed for the first contact. The contact information interface includes a first contact identification field for the first contact. The first contact identification field is associated with the first contact and the first communication application.

Abstract: Techniques for behavioral pairing in a task assignment system are disclosed. In one particular embodiment, the techniques may be realized as a method for behavioral pairing in a task assignment system comprising: determining, by at least one computer processor communicatively coupled to and configured to operate in the task assignment system, a priority for each of a plurality of tasks; determining, by the at least one computer processor, an agent available for assignment to any of the plurality of tasks; and assigning, by the at least one computer processor, a first task of the plurality of tasks to the agent using a task assignment strategy, wherein the first task has a lower-priority than a second task of the plurality of tasks.

Abstract: Methods and systems for handling telephone calls relating to recurring customer questions and inquiries so as to decrease a likelihood of additional calls regarding the same issues and thereby improve customer experience while reducing an overall call volume are provided. The method includes: receiving an incoming telephone call from a person; capturing an audio signal that corresponds to a voice of the person; analyzing the audio signal by detecting phonetic intonations applying a digital filter to the intonations; and determining whether an inquiry articulated by the person during the telephone call has been adequately addressed. The method may further include using machine learning to generate an output that indicates an expression of certainty or uncertainty in the voice of the person.

Abstract: A response handling arrangement comprises a response prioritizing device (26) with processing circuitry configured to obtain event data (ED) and/or status data (SD) in the communication network concerning a user, where the obtaining is triggered by the user initiating a connection to a response device (24) of the communication network, apply the event data (ED) and/or status data (SD) in a response selecting model (78) of a trained machine learning module (74), and obtain an indication (I) of a type of response to the user from the response selecting model of the trained machine learning module (74) based on the applied event data (ED) and/or status data (SD) for allowing a real-time response of the response type to be made to the user by the response device (24).

Abstract: Various examples are directed to systems and methods for providing a digital fingerprint of a selected portion of a memory device to a host device. A host device executing at a host device may send a to a driver a command to produce digital fingerprint data. The command may include an output pointer indicating a memory location of the local memory. The driver may generate a modified command that does not include the output pointer. The driver may send the modified command to a memory device. The driver may receive a reply comprising the digital fingerprint data and write the digital fingerprint data to a location at the memory location of local memory of the host device indicated by the output pointer.

Abstract: Embodiments of the disclosure provide a method of operating a contact center. In some embodiments, the method includes receiving a call from a customer communication device, transitioning the call from a voice domain into a digital domain, and enabling the contact center to interact with the customer communication device in at least the digital domain after the call has been transitioned from the voice domain into the digital domain.