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.

A system establishes an agent communication with a customer. An agent computer with a first processor and a first memory receives a batch notification identifying a batch of one or more customer records in the agent computer, for communication in the near future. The one or more customer records is associated with one or more customers. A second computer with a second processor and a second memory provides the batch notification identifying the batch of one or more customer records in the agent computer. The system determines a next step action by taking into account touch specific outcome correlation data, marketing outcome correlation data, and/or correlation between touch specific outcome correlation data and overall outcome data.

A processor may receive a call transcript including text and form a text string including at least a portion of the text. The processor may generate a situation description of the call transcript, which may comprise processing the text string using a transformer-based machine learning model. The processor may generate a trouble description of the call transcript, which may comprise creating a sentence embedding of the situation description, creating sentence embeddings for a plurality of utterances within the portion of the text, determining respective similarities between the sentence embedding of the situation description and each of the sentence embeddings for each respective one of the plurality of utterances, and selecting at least one of the plurality of utterances having at least one highest determined respective similarity as the trouble description. The processor may store a call summary comprising the situation description and the trouble description in a non-transitory memory.

A determination is made that a real-time communication session (e.g., a voice call) between a first agent terminal and a customer communication endpoint has been placed on hold by a first contact center agent. An estimated hold time for the real-time communication is determined, based on a rule, in response to determining that the real-time communication session has been placed on hold. It is determined that the estimated hold time for the real-time communication session has expired. In response to determining that the estimated hold time for the real-time communication session has expired, one or more actions occur. For example, the real-time communication session is automatically transferred to a second agent terminal.

A system establishes an agent communication with a customer. An agent computer with a first processor and a first memory receives a batch notification identifying a batch of one or more customer records in the agent computer, for communication in the near future. The one or more customer records is associated with one or more customers. A second computer with a second processor and a second memory provides the batch notification identifying the batch of one or more customer records in the agent computer. The system connects the agent with the customer associated with a customer record selected from the batch by the agent.

A system and method for enhanced interaction processing in a contact center that includes routing interactions based on adaptable business objectives. A processor detects a pending interaction with a customer. The processor identifies first and second objectives of the contact center in response to detecting the pending interaction, where the first objective is identified as more important to the contact center than the second objective. The processor identifies a first agent for handling the first objective, and determines a likelihood of success of the first agent in achieving the first objective. The processor identifies a second agent for handling the second objective, and determines a likelihood of success of the second agent in achieving the second objective. In the event that the likelihood of success in achieving the second objective by the second agent is higher than the likelihood of success of achieving the first objective by the first agent, the processor transmits instructions to route the pending interaction to the second agent. The processor also prompts the second agent to pursue the second objective.

A computer server system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to receive, via the communications module and from a first device, a signal including a request to schedule access to a shared resource within a time window; identify, based on a load projection for the shared resource, at least one time period within the time window for the access to the shared resource; send, via the communications module and to the first device, a signal including the at least one time period and requesting confirmation that a particular one of the at least one time period is acceptable; receive, via the communications module and from the first device, a signal including confirmation that the particular one of the at least one time period is acceptable; determine that a current time has reached the particular one of the at least one time period; and responsive to determining that the current time has reached the particular one of the at least one time period, provide access to a node of the shared resource, the node having available bandwidth.

A computer server system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to receive, via the communications module and from a first device, a signal including a request to schedule access to a shared resource within a time window; identify, based on a load projection for the shared resource, at least one time period within the time window for the access to the shared resource; send, via the communications module and to the first device, a signal including the at least one time period and requesting confirmation that a particular one of the at least one time period is acceptable; receive, via the communications module and from the first device, a signal including confirmation that the particular one of the at least one time period is acceptable; determine that a current time has reached the particular one of the at least one time period; and responsive to determining that the current time has reached the particular one of the at least one time period, provide access to a node of the shared resource, the node having available bandwidth.

A method and system matching contact center agents and back office staff with a customer inquiry. Exemplary systems include an expert term extraction engine, a customer term extraction engine, and a matching engine to compare customer request terms to the expert terms from the customer term extraction engine. The comparison determines whether there is a match or potential match between the customer request terms and the stored expert terms. An exemplary system may also include a timer that communicates with one or more communication servers. Back office staff may assist contact center agents when one or more conditions are met, such as when a customer wait time exceeds a predetermined period or when there is no match or potential match between the customer request terms and the stored expert terms for contact center agents.