Abstract:
A method for automating interactions with enterprises includes: receiving, through a user interface, a natural language request from a customer; determining a customer intent from the natural language request; conducting an automated interaction by: determining, by a personal bot controller circuit, an enterprise to service the customer intent; loading an enterprise library for interacting with an application programming interface (API) of the enterprise, the enterprise library including one or more library functions; identifying a library function for servicing the customer intent from among the one or more library functions; generating a request based on the identified library function and the customer intent; transmitting the generated request to the enterprise to initiate an interaction; receiving a response from the enterprise; and notifying the customer of a result of the interaction.
Abstract:
A method for configuring a topic-specific chatbot comprising: clustering a plurality of transcripts of interactions between customers and agents of a contact center of an enterprise to generate a plurality of clusters of interactions, each cluster of interactions corresponding to a topic, each of the interactions including agent phrases and customer phrases; for each cluster of the plurality of clusters of interactions: extracting a topic-specific dialogue tree for the cluster; pruning the topic-specific dialogue tree to generate a deterministic dialogue tree; and configuring a topic-specific chatbot in accordance with the deterministic dialogue tree; and outputting the one or more topic-specific chatbots, each of the topic-specific chatbots being configured to generate, automatically, responses to messages regarding the topic of the topic-specific chatbot from a customer in an interaction between the customer and the enterprise.
Abstract:
A system includes a contact center to provide an interaction between a customer and agent. A forms manager of the contact center generates a question for an evaluation form. A workforce management server connects with the forms manager, the workforce management server to schedule a work time for the agent. The workforce management server schedule the forms manager to generate the evaluation form when the agent is working.
Abstract:
A method for tracking known topics in a plurality of interactions includes: extracting, by a processor, a plurality of fragments from the plurality of interactions; initializing, by the processor, a collection of tracked topics to an empty collection; computing, by the processor, a similarity between each fragment of the fragments and each of the known topics; and adding, by the processor, a known topic of the known topics to the tracked topics in response to the similarity between a fragment and the known topic exceeding a threshold value.
Abstract:
A method for generating an agent work schedule Includes: analyzing, on. a processor, a plurality of recorded interactions with a plurality of contact center agents to classify the recorded interactions based on a first plurality of interaction reasons and a plurality interaction resolution statuses; analysing, on the processor, the classified recorded interactions to compute agent effectiveness of an agent of the plurality of agents, wherein the agent effectiveness corresponds to an interaction reason of the first interaction reasons; forecasting, on the processor, a demand of the contact center agents for a first time period for handling interactions classified with the interaction reason; and generating, on the processor, the agent work schedule for the first time period based on the forecasted demand and the computed agent effectiveness.
Abstract:
An apparatus includes: a processor; and memory, wherein the memory has stored thereon instructions that, when executed by the processor, cause the processor to: identify a plurality of parameters prior to initiating an interaction request; transmit the interaction request to a server to initiate an interaction with a contact center, the interaction request comprising the plurality of parameters; and receive information regarding the interaction after termination of the interaction with the contact center.
Abstract:
According to one embodiment, a method for automating an interaction between a user and a contact center includes: receiving, by a processor, a natural language inquiry from the user; identifying, by the processor, a user intent from the natural language inquiry using a natural language processing module; loading, by the processor, a script corresponding to the user intent, the script comprising a plurality of fields of information associated with the user intent; filling at least one of the fields of information of the script based on a stored user profile; and supplying the filled fields of information to the contact center in accordance with the script. Some embodiments of the present invention relate to systems and methods for augmenting interactions between the user and the contact center.
Abstract:
A system and method for performance-based routing of interactions in a contact center. A routing server receives information on an interaction to be routed, and identifies a call reason for the interaction. The identification of the call reason may be based, for example, speech analytics. The routing server identifies one or more agents having experience in handling the topic. The routing server further determines a proficiency level of the identified agents in handling the topic, and selects one of the identified agents having at least a minimum level of proficiency. The routing server transmits a message for routing the interaction to the selected agent.
Abstract:
A method for predicting a speech recognition quality of a phrase comprising at least one word includes: receiving, on a computer system including a processor and memory storing instructions, the phrase; computing, on the computer system, a set of features comprising one or more features corresponding to the phrase; providing the phrase to a prediction model on the computer system and receiving a predicted recognition quality value based on the set of features; and returning the predicted recognition quality value.
Abstract:
A method for automated quality management of agents of a contact center includes: selecting, by a processor, a topic for interacting with a human agent of the contact center; identifying, by the processor, a dialog tree associated with the selected topic; and engaging, by the processor, in an automated communication session with the human agent based on the identified dialog tree, wherein the engaging of the automated communication session includes: receiving, by the processor, an agent input; identifying, by the processor, a current node of the dialog tree associated with the agent input; selecting, by the processor, an automated phrase to be output in response to identifying the current node; and outputting, by the processor, the automated phrase.