Abstract: The present invention allows a CEC system to automatedly, and without human intervention, identify interactions that are likely in need of supervisor intervention. The system reviews all incoming and outgoing interactions for analysis by a metadata analytics service (MAS) software module. The MAS analyzes the interactions to generate interaction metadata, which is used by an interaction analysis engine (IAE) to score the quality of the interaction. If the quality of the interaction is not sufficient, the system marks the interaction as being a problem interaction and notifies a supervisor of the interaction. This ensures the intelligent and dynamic determination of interactions that require additional assistance and assures notification to a supervisor.

Abstract: Work support system and method with screen sharing and development system for multi-platform application disclosed. The work support system with screen sharing includes a customer terminal in which a service application is installed and executed, an employee terminal configured of sharing and displaying a designated area of an execution screen of the service application, and a work support server configured of communicating with the customer terminal and the employee terminal, and supporting a customer work by setting a screen of the customer terminal to be shared in the employee terminal under a specified condition.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining a transfer option for transferring a call. One of the methods includes: dynamically capturing, by the at least one processor, during a call between a first individual and a second individual, one or more keywords from a verbal conversation between the first individual and the second individual during the call; automatically determining, by the at least one processor, a transfer option for transferring the call based on the captured one or more keywords; and transferring, by the at least one processor, the call to a transfer unit specified by the determined transfer option.

Abstract: A method for providing anonymized contact information to a workforce management system includes receiving contact information from a plurality of customer business units; assigning each of the plurality of customer business units one or more industry classification codes or product classification codes; anonymizing, by a processor, the contact information to the one or more industry classification codes or product classification codes; receiving, by a processor, a query from a workforce management system for anonymized contact information in one or more industry classification codes or product classification codes; and providing the anonymized contact information to the workforce management system for use in a workforce management predictive model.

Abstract: Techniques are described for generating metrics about an individual's experience. One of the method describes providing, by at least one processor, the session record as input to at least one computer-processable model that determines, based on the session record, at least one metric for the service session, the at least one model having been trained, using machine learning and based at least partly on survey data for previous service sessions, to provide the at least one metric associated with the individual's experience. The method includes associating, by at least one processor, the metric of the individual's experience with the individual. The method also includes communicating, by at least one processor, the at least one metric for presentation through a user interface of a computing device.

Abstract: Techniques for estimating expected performance of a task assignment strategy in a task assignment system are disclosed. In one particular embodiment, the techniques may be realized as a method comprising receiving, by at least one computer processor communicatively coupled to a task assignment system, a plurality of historical agent task assignments; determining, by the at least one computer processor, a sample of the plurality based on a strategy for pairing agents with tasks; determining, by the at least one computer processor, an expected performance of the strategy based on the sample; outputting, by the at least one computer processor, the expected performance; and optimizing, by the at least one computer processor, the performance of the task assignment system based on the expected performance.

Abstract: A method, system and program product, the method comprising: obtaining for each call in one set of calls a respective pattern representing multiple different respective data fields; obtaining performance data for the respective patterns of the calls; obtaining performance data for the respective agents; determining agent performance sensitivity to call pattern performance for agents in a set of agents comprising the agent performance data correlated to call performance data for the calls the agent handles; and matching a respective one of the agents from the set of agents to one of the calls based at least in part on the performance data for the respective pattern of the one call and on the agent sensitivity to call performance for the respective one agent of the set of agents.

Abstract: Disclosed herein is a method for automated agent behavior recommendations for call quality improvement. The method performed at a server includes receiving a first data record and a second data record of a plurality of data records, each comprising communication between a first party and a second party and determining a first communication originated from the first party. The method includes determining a category for each section of the plurality of sections of the first communication, and a plurality of behavior distances between different categories associated with the plurality of sections. The method includes augmenting first metadata of the first data record and second metadata of the second data record to include associated behavior distances and determining an average performance ranking of the first party to generate a recommendation to increase the average performance ranking of the first party above a preconfigured threshold.

Abstract: A voice call conversion system includes an interactive voice response app offering the voice caller an option to engage in a texting session with an intelligent interface on an application server. A telephony server connected to the telephone network receives voice calls and communicates with the application server to initiate an interactive voice response session. The texting session can take place even if the call was placed to a landline phone number. A gateway converts text messages on a cellular network to requests on an IP network and in the opposite direction converts IP network communications to text messages on the cellular network.

Abstract: A system for quickly deploying QM systems in contact centers is provided. A user or administrator can quickly install a QM application on a deployment server. The administrator can provide the QM application access to the contact center data where the QM application can import data from the contact center routing system about one or more customers, agents, queues, teams, and any other information or items typically associated with contact center routing systems. The imported data may also include presence data about the agents, teams, and customers. Based on the imported data, the QM application may execute one or more workflows to automatically determine information such as evaluation frequency and coaching frequency about the agents and teams, or to create or select quality forms to use for the evaluation one or more agents, teams, or contacts.

Abstract: The exemplary embodiments disclose a system and method, a computer program product, and a computer system for managing nuisance calls. The exemplary embodiments may include collecting data from a call, extracting one or more features from the collected data, and identifying the call as a nuisance call based on applying one or more models to the extracted one or more features.

Abstract: Systems and methods for flexible and extensible contact center routing are disclosed. Incoming communications are received at a contact center from one or more customers. A pairing score is determined for each agent capable of servicing the incoming communications for each of the one or more customers based on customer attributes and/or agent attributes that are adjustable and extensible. An incoming communication is routed from a customer to an agent having a highest pairing score with the customer. The incoming communication can be routed on a first communication channel and then switched over to a second communication channel. The first communication channel and second communication channel can be different types of communication channels.

Abstract: Method starts with processing, by a processor, audio signal to generate audio caller utterance and transcribed caller utterance. Processor generates identified tasks based on transcribed caller utterances. Processor obtains member context associated with member identification and obtains available tasks associated with member identification. Processor determines lengths of time associated with available tasks, respectively. Lengths of time associated with available tasks are lengths of time that the available tasks have been available. Processor determines messaging data associated with available tasks, respectively, that is based on dates of receipt of messages pertaining to available tasks. Processor, using a predictive analysis neural network, generates a predictive analysis result that is based on the available tasks, the lengths of time associated with the available tasks, or messaging data associated with the available tasks.

Abstract: A method for routing interactions arriving at a contact center. The method may include: providing a cost schedule for the interactions that includes a classifier in which categories of interaction types are defined and a cost value corresponding to each of the interaction types; providing a capacity value for agents; and routing the interactions in accordance with a routing process. The routing process may include: receiving the first interaction; pursuant to the classifier, classifying the first interaction as being a first interaction type; determining the cost value of the first interaction as being the cost value corresponding to the first interaction type in the cost schedule; calculating for each of the agents an available capacity; and routing the first interaction to a first agent based on the available capacity of the first agent being sufficient given the cost value.

Abstract: A method for automated generation of contact center system embeddings according to one embodiment includes determining, by a computing system, contact center system agents, contact center system agent skills, and/or contact center system virtual queue experiences; generating, by the computing system, a matrix representation based on the contact center system agents, the contact center system agent skills, and/or the contact center system virtual queue experiences; generating, by the computing system and based on the matrix representation, contact center system agent identifiers, contact center system agent skills identifiers, and/or contact center system virtual queue identifiers; transforming, by the computing system, the contact center system agent identifiers, the contact center system agent skills identifiers, and/or the contact center system virtual queue identifiers into the contact center system agent embeddings, contact center system agent skills embeddings, and/or contact center system virtual queue

Abstract: Handling a related call using a shared call state. The computing system establishes a first call between a first entity and a second entity, assigns a user call identifier to the first call. Next, the second entity instructs that a second call between the first entity and a third entity is to be established. The computing system then establishes the second call between the first entity and the third entity, assigns the same user identifier to the second call, such that the first call and the second call are included in a shared call operation. A first global state of the shared call operation is identified based on a status of at least one of the first call and the second call. When the status of at least one of the first call and the second call changes, the global state of the shared call operation changes from the first global state to a second global state.

Abstract: 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.

Abstract: A computer retrieves a dialog information records of the active call of the first operator. The computer extracts features from the dialog information records. The computer determines a feature vector from the extracted features and determines a transfer probability value based on the feature vector and previous call transfers to the second operator.

Abstract: An apparatus, method, and non-transitory computer readable medium are provided for accessing data on a phone that is inaccessible. The apparatus includes a memory configured to store a plurality of contact profiles in a contact list corresponding to an inaccessible device, and a processor coupled to the memory. The apparatus receives, from an unknown device over a voice connection, an access identifier corresponding to the inaccessible device and a contact identifier associated with a contact profile of the plurality of contact profiles; identifies the contact list based on matching the access identifier with the inaccessible device; determines a contact device of the contact profile in the contact list corresponding to the contact identifier; and connects, over the voice connection, the unknown device to the contact device corresponding to the contact profile.

Abstract: A telecommunication appliance and method is described. In the method, a flexible cover part of an appliance cover of a telecommunication appliance supported by a telecommunication rack is removed while the telecommunication appliance is in service and passing data. The telecommunication appliance has a plurality of pluggable optical modules installed within connectors within a space encompassed by the appliance cover. The connectors are operably connected to a power supply supplying power to the connectors. When a first one of the connectors is devoid of a pluggable optical module being installed within the first one of the connectors, a first pluggable optical module is plugged into the first one of the connectors.