A system and method for secure storage and management of transitory data, comprising at least a profile manager, a callback manager, a context analysis engine, and a vault manager, which allows a user to create a data container to store data preferences, which encrypts the data stored within a data container, which creates a password for accessing the data container, which temporarily stores the data container, which manages data container interactions between the system user and a second user, such as a business enterprise, and which establishes default preferences and creates a default container based upon context content data.

A computing device may receive, from a remote computing device, a request to establish a communication session with the remote computing device and contextual information indicative of an urgency level of the communication session. The computing device may output, at one or more output devices, the contextual information indicative of the urgency level of the communication session and at least one of: haptic output or an audible alert that indicates the request to establish the communication session.

Embodiments of the present invention provide systems and methods for automatically controlling an electronic illumination device to indicate information pertaining to workstations or agents of a customer contact center. Some embodiments are useful in the context of employee management because the illumination devices are used to indicate information about tasks that employees are engaged in, the performance of the employees, and the status of the employees. A computer system coupled to the illumination device executes control software configured to send control signals over a communication interface, such as USB or Bluetooth. The data sent to the electronic illumination device can cause the illumination device to turn off or on, change color, blink, strobe, etc., for producing desired lighting effects representative of a status or event associated with an employee or workstation.

Embodiments described herein provide for passive caller verification and/or passive fraud risk assessments for calls to customer call centers. Systems and methods may be used in real time as a call is coming into a call center. An analytics server of an analytics service looks at the purported Caller ID of the call, as well as the unaltered carrier metadata, which the analytics server then uses to generate or retrieve one or more probability scores using one or more lookup tables and/or a machine-learning model. A probability score indicates the likelihood that information derived using the Caller ID information has occurred or should occur given the carrier metadata received with the inbound call. The one or more probability scores be used to generate a risk score for the current call that indicates the probability of the call being valid (e.g., originated from a verified caller or calling device, non-fraudulent).

A resource managing computer system for managing at least one resource in an enterprise is disclosed. The resource managing computer system includes a communication interface for establishing at least one web based chat communication session with at least one customer. The system further includes a monitoring module for monitoring one or more parameters associated with the at least one web based chat communication session. The system further includes a computing module for computing at least one confidence score based on the one or more monitored parameters of the at least one web based chat communication session. The system further includes an allocation module for allocating the at least one resource to the at least one web based chat communication session, wherein the allocation is performed based on the at least one computed confidence score.

A method of facilitating predictive intent-based routing of service requests. Accordingly, the method may include receiving a service request data from a user device, initiating a chatbot, retrieving a service portfolio based on the receiving of the service request data, processing the service portfolio and the service request data, determining a service level, analyzing the service request data using a first machine learning model, determining an intent based on the analyzing, generating an adjusted service level based on the intent using a second machine learning model, assigning an agent to a user of the at least one user based on the adjusted service level, generating a service notification for the agent based on the assigning, transmitting the service notification to the user device and an agent device associated with the agent, and storing the service request data, the service notification, and the adjusted service level.

Customers can become bored with an interaction with an agent. By providing speech and/or images, of a celebrity disguising the speech, and/or image, of the agent, customers can appear to interact with a particular celebrity. As a result, customers are more likely to stay engaged and have a positive experience. The celebrity, or a particular persona of a celebrity, may be selected from customer preferences and/or a purpose of the call. For example, a movie star's role may have a persona, such as a “heavy,” suitable for collection calls (audio or audio-video), whereas a scientific or technical innovator may be selected for technical support calls.

A system and method for optimizing callback times to increase the success rate of callbacks while managing overflow of calls to alternate sites when callbacks are unsuccessful. The system and method use a pacing algorithm to determine when callbacks are likely to be successful from a preferred contact site, routing to alternate callback sites when callbacks are unsuccessful, and preferences for re-routing back to the preferred site when a callback is successful and the agent with whom the caller has interacted previously is available.

A method, device, and computer-readable medium provide for receiving, via a chatbot access channel, a chat message from a user device associated with a customer chat session; determining that the chat message includes a customer intent that corresponds to a chat flow for the customer chat session; generating one or more suggested response messages based on the chat message, wherein at least one of the one or more suggested response messages includes a previously stored chat message response corresponding to the customer intent and approved by a service agent; presenting, via a display, a transcript of a messaging sequence for the customer chat session concurrently with a user interface that enables the service agent to perform an action with respect to the one or more suggested response messages; and sending, via the chatbot access channel, a selected one of the one or more suggested response messages to the user device.

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.