Disclosed herein are system, method, and computer program product embodiments for machine learning systems to process incoming call-center calls based on inferred sentiments. An incoming call is routed to a call agent based on an inferred topic, classified based on one or more inferred sentiments of a current caller's speech, determining, based on the call classification, that a complaint has been articulated and initiating an automated assistance by searching for one or more similar callers to the current caller. Based on finding a successful call outcome associated with one or more similar callers, the system suggests one or more phrases to the call agent for use in a dialog with the current caller to improve the one or more inferred sentiments.

A method and a system for reporting metrics relating to customer calls for fungible agents that are utilizing multiple servicing applications in a contact center environment are provided. The method includes: receiving a service request call from a customer; determining applications that are usable for responding to the service request call from among a predetermined plurality of applications; monitoring the service request call in order to obtain information relating to call timing and events occurring during the call; when the service request call is completed, determining call-specific metrics such as hold time, number of transfers, and or idle time based on the information obtained during the monitoring; and reporting the metrics to a repository. Additional metrics that are specific to an agent assigned to handle the call may also be determined.

A system and method for managing a customer's experience with a contact center that takes available data about the customer, the agents of the contact center, and the organization represented by the contact center, for identifying opportunities for additional conversations/interactions with the customer and engaging in those additional conversations/interactions at a time and with a resource predicted to maximize outcomes for the organization. A processor is configured to identify express and/or implied intents for an interaction between the customer and the contact center. A business goal related to the express and/or implied intents is also identified for determining a current performance of the contact center and for identifying any performance gaps. Contact center targets are identified based on their performance in handling the express and/or implied intents, and the identified performance gaps. An available one of the identified targets is then selected for routing the interaction to the target.

Automated systems and methods are provided for processing natural language, comprising obtaining first and second digitally-encoded speech representations, respectively corresponding to an agent script for and a voice recording of a telecommunication interaction; generating a similarity structure based on the speech representations, the similarity structure representing a degree of semantic similarity between the speech representations; matching markers in the first speech representation to markers in the second speech representation based on the similarity structure; and dividing the telecommunication interaction into a plurality of sections based on the matching.

A system, method, and computer program product to accurately route a call is disclosed, by providing a resource interface having one or more interface elements mapping a resource to a call based on current calls and predicted calls, determining a dynamic handling profile from a plurality of dynamic handling profiles that include call information which maps to a resource to provide a ruleset for handling one or more types of call requests, identifying a routing rule comprising one or more routing rules of the ruleset based on caller information, receiving an activation of a resource interface element of the resource interface to initiate a call routing request to forward an assigned call to the resource, and controlling the call routing request according to the routing rule of the dynamic handling profile to perform a call function associated with the assigned call.

Embodiments of the present invention provide systems and methods for determining an engagement level for a customer-agent interaction (e.g., a phone call, text chat, etc.), and the engagement level can be used to evaluate the performance of the agent. For example, the engagement level can be used to determine or adjust a skill level of the agent, a performance of the communication channel that facilitates the interaction, and/or an optimal workload of the agent. According to some embodiments, the engagement level is used to determine that the agent may be experiencing difficulty satisfying a customer inquiry such that the agent should be assigned resources or assistance.

A computer-implemented method for providing an objective evaluation to a customer service representative regarding his performance during an interaction with a customer may include receiving a digitized data stream corresponding to a spoken conversation between a customer and a representative; converting the data stream to a text stream; generating a representative transcript that includes the words from the text stream that are spoken by the representative; comparing the representative transcript with a plurality of positive words and a plurality of negative words; and generating a score that varies according to the occurrence of each word spoken by the representative that matches one of the positive words, and/or the occurrence of each word spoken by the representative that matches one of the negative words. Tone of voice, as well as response time, during the interaction may also be monitored and analyzed to adjust the score, or generate a separate score.

Disclosed herein are system, method, and computer program product embodiments for machine learning systems to process incoming call-center calls based on inferred sentiments. An incoming call is routed to a call agent based on an inferred topic, classified based on one or more inferred sentiments of a current caller's speech, determining, based on the call classification, that a complaint has been articulated and initiating an automated assistance by searching for one or more similar callers to the current caller. Based on finding a successful call outcome associated with one or more similar callers, the system suggests one or more phrases to the call agent for use in a dialog with the current caller to improve the one or more inferred sentiments.

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.

A system, method, and computer program product to accurately route a call is disclosed, by providing a resource interface having one or more interface elements mapping a resource to a call based on current calls and predicted calls, determining a dynamic handling profile from a plurality of dynamic handling profiles that include call information which maps to a resource to provide a ruleset for handling one or more types of call requests, identifying a routing rule comprising one or more routing rules of the ruleset based on caller information, receiving an activation of a resource interface element of the resource interface to initiate a call routing request to forward an assigned call to the resource, and controlling the call routing request according to the routing rule of the dynamic handling profile to perform a call function associated with the assigned call.