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.

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 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.

The technology disclosed herein enables incorporation of feature sets of a unified communications system and a contact center system. In a particular embodiment, a method includes, in a contact center system, in response to an agent logging into the contact center system, establishing a first connection between the contact center system and a unified communications endpoint operated by the agent. The first connection is established using a unified communications system that services the unified communications endpoint. After establishing the first connection, the method includes identifying a call on a second connection between the contact center system and a second endpoint operated by a user. In response to selecting the agent to handle the call, the method includes bridging the first connection and the second connection.

Embodiments described herein provide for authenticating callers to call centers using browser fingerprinting. A call center system or third-party analytics system includes a server that transmits notifications to a caller device that includes an interactive hyperlink or URL to a particular webpage. When a browser of the caller device navigates to the webpage, the server captures certain types of information about the caller device and generates a browser fingerprint for the caller device. The browser fingerprint is compared against a database of registered browser fingerprints to verify that the caller device of the current call is the registered, expected caller device. The server transmits the notification via any number of communication channels and protocols, such as text messages (e.g., SMS messages, MMS messages), emails, and push notifications associated with client-side software, among others.

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 context-aware 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 sentiment-based score is determined for a contact center engagement between a first contact center service operator and a contact center user. The sentiment-based score is indicated within a graphical user interface displaying information associated with multiple contact center engagements at a device of a second contact center service operator. Based on a request to participate in the contact center engagement received from the device of the second contact center service operator via the graphical user interface, information associated with the contact center engagement is transmitted to the device of the second contact center service operator, and a contact center session involving a device of the contact center user and the device of the second contact center service operator is established.

At least some embodiments, a system includes a memory, and a processor configured to convert an audio stream of a speech of a customer during a customer call session into customer-originated text. The customer-originated text is displayed in a first chat interface. A request from a first call center agent is sent to a second call center agent via the first chat interface to interact with the customer during the customer call session and displayed in a second chat interface. The second agent is allowed to participate in the customer call session when the second call center agent accepts the request from the first call center agent. First agent-originated text and second agent-originated text during the customer call session is merged to form a combined agent-originated text and synthesized to computer-generated agent speech having a voice of a computer-generated agent based on the combined agent-originated text communicated to the customer over the voice channel.

Communications between agents and customers are a key feature of contact centers. Agents may have a question about how to perform a particular task, a response to the question that other agents may know. A supervisor may be presently unavailable and transferring the customer requires significantly more overhead and resources. The systems and methods herein disclose an agent-to-agent (A-to-A) channel that enables a question to be posed to an agent and receive a response via a dedicated channel for A-to-A communications. Accordingly, the agent may stay engaged with the customer and resolve issues without the need to wait for a supervisor or transfer the customer to another agent.

An on-premises system for pre-processing data for forecasting according to an embodiment includes at least one processor and at least one memory having a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the on-premises system to receive a request to forecast contact center data using a cloud system, determine a first number of interactions per unit of time for a source interval, determine a second number of units of time in a destination interval, and determine a third number of interactions in the destination interval based on the first number of interactions per unit of time for the source interval and the second number of units of time in the destination interval.