Abstract: A system and method for hybrid callback management, utilizing a callback cloud and an on-premise callback system, allowing brands to utilize a hybrid system that protects against any premise outages or cloud service faults and failures by introducing redundancies and co-maintenance of data key to callback execution while allowing for mixed telephony types to be seamlessly integrated into one communication platform.

Abstract: A system and method for intent-based active callback management, utilizing a cloud callback system comprising at least a profile manager, callback manager, interaction manager, media server, and environment analyzer, allowing users to call businesses, agents in contact centers, or other users who are connected to a cloud callback system, and, failing to connect to the individual they called, allow for an automatic callback object to be created, whereby the two users may be automatically called and bridged together at a time when both users are available.

Abstract: 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.

Abstract: A system and method for mobile device active callback integration, utilizing a callback integration engine operating on a user's mobile device that present a callback token for integration through the operating system and software applications operating on the device, wherein interacting with the callback token produces a callback object used to execute a callback incorporating device hardware, context, scheduling, and trust information.

Abstract: A system and method for hybrid callback management with biometric authentication, utilizing a callback cloud and an on-premise callback system, allowing users to be verified via his or her biometrics, and also allowing brands to utilize a hybrid system that protects against any premise outages or cloud service faults and failures by introducing redundancies and co-maintenance of data key to callback execution.

Abstract: 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.

Abstract: An adaptive cloud conversation platform capable of making automated decisions regarding when and how to establish ongoing communications with consumers so as to maximize the relationship between the consumer and a given brand. The system has a connection management services layer which determines what communications should be established and how they should be established, an initiation management services layer which determines when communications should be established, and a user management services layer which stores information about consumers and brands for determination of when and how communications should be established. Certain of these services have machine learning algorithms incorporated into them trained to perform analyses of the particular type of operation handled by that service. The outputs of each service can be used as inputs to other services, such that a network of machine learnings algorithms is created which determines when and how to establish ongoing communications with consumers.

Abstract: A system and method for managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events.

Abstract: A system for integrated consumer interaction via media broadcast, comprising an immediate communication system that communicated with a media provider and a communications system, wherein the consumer submits a request to a content provider for interaction that is then handled by the immediate communication to establish an interaction with a communication system, and a method for providing integrated consumer interaction.

Abstract: A system and method for callback management, utilizing a callback cloud, a digital ledger, and smart callback contracts, brokering user to user communications and session establishment using an automated workflow built upon extensible root smart contract templates which can be configured to connect various users and brands. The system may comprise callback cloud, that may further comprise a callback manager, a brand interface server, an interaction manager, a media server, one or more blockchain digital ledgers, and various smart contracts which are used to autonomously respond to received user requests.

Abstract: A system and method for managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events.

Abstract: A system for integrated consumer interaction via media broadcast, comprising an immediate communication system that communicated with a media provider and a communications system, wherein the consumer submits a request to a content provider for interaction that is then handled by the immediate communication to establish an interaction with a communication system, and a method for providing integrated consumer interaction.

Abstract: A system for providing integrated contact information with search results, comprising a plurality of contact centers, each comprising at least a plurality of contact agents; a callback cloud, comprising at least a plurality of contact agents; a queue manager, comprising at least a software components operating and stored on a computing device; wherein the contact agents receive and respond to customer interactions; further wherein the queue manager monitors contact agent availability; further wherein the queue manager receives interaction requests; and further wherein the queue manager provides queue information to interaction requestors.

Abstract: A system and methods for mobile device active callback prioritization, utilizing an enhanced callback prioritization engine operating on a user's mobile device for integration through the operating system and software applications operating on the device, wherein the enhanced callback prioritization engine receives intercepted data or voice messages sent to the mobile device, retrieves and aggregates data related to the assigned messages, inputs the assigned data message and aggregate data into one or more machine learning algorithms wherein the algorithms may analyze the input data, the results of the analysis may be used to compute a priority score for the assigned data message, and generates a callback list from the computed prioritization score. The priority score is in part based on 3rd party application data related to the data or voice messages providing context to the machine learning algorithms.

Abstract: A system and method for a cloud callback platform, comprising at least a profile manager, callback manager, interaction manager, media server, context analysis engine, and context aggregator mechanism, allowing user to call business, agents in contact centers, or other users who are connected a cloud callback platform, and, failing to connect to the individual they called, or by request, allow for an automatic callback object to be created, whereby the two users may be automatically called and bridged together at a time when both users are available, and a context summary report is sent to one or more user.

Abstract: A system and method for managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events.

Abstract: A system and method for hybrid callback management and failure recovery, utilizing a callback cloud and an on-premise callback system, allowing brands to utilize a hybrid system that protects against any premise outages or cloud service faults and failures by introducing redundancies and co-maintenance of data key to callback execution.

Abstract: A system and method for managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events.

Abstract: A system and method for mobile device active callback integration, utilizing a callback integration engine operating on a user's mobile device that present a callback token for integration through the operating system and software applications operating on the device, wherein interacting with the callback token produces a callback object used to execute a callback incorporating device hardware, context, scheduling, and trust information.

Abstract: A system and method for intent-based active callback management, utilizing a cloud callback system comprising at least a profile manager, callback manager, interaction manager, media server, and environment analyzer, allowing users to call businesses, agents in contact centers, or other users who are connected to a cloud callback system, and, failing to connect to the individual they called, allow for an automatic callback object to be created, whereby the two users may be automatically called and bridged together at a time when both users are available.