Patent classifications
H04M3/4933
Systems and methods for extended agent capacity
A method for routing interactions arriving at a contact center. The method may include: providing a cost schedule for the interactions that includes a classifier in which categories of interaction types are defined and a cost value corresponding to each of the interaction types; providing a capacity value for agents; and routing the interactions in accordance with a routing process. The routing process may include: receiving the first interaction; pursuant to the classifier, classifying the first interaction as being a first interaction type; determining the cost value of the first interaction as being the cost value corresponding to the first interaction type in the cost schedule; calculating for each of the agents an available capacity; and routing the first interaction to a first agent based on the available capacity of the first agent being sufficient given the cost value.
Intent-driven contact center
The present disclosure relates generally to providing an intent-driven contact center. The contact center according to some embodiments analyzes intents to determine to which device or agent to route a communication. The analyzed intent information can also be used to formulate reports and analyze the accuracy of the identified intents with respect to the received communication.
Call control service
A technology is described for providing virtual call assistants and call options to identified callers. An example method may include identifying a caller and a call recipient using addressing information included in a call received at a call control service. After identifying the caller, a priority designation assigned to the caller may be obtained from an agent linking profile. An interactive agent linked to the priority designation assigned to the caller may be identified, wherein the interactive agent may be configured to provide prioritized call services. Thereafter, the interactive agent linked to the priority designation may be invoked.
Integration of human agent and automated tools for interactive voice response (IVR) systems
When a caller initiates a conversation with an interactive voice response (“IVR”) system, the caller may be transferred to a live agent. Apparatus and methods are provided for integrating automated tools and artificial intelligence (“AI”) into the interaction with the IVR system. The automated tools and AI may track the conversation to decipher when to transfer the caller to the agent. The agent may determine which machine generated responses are appropriate for the caller. AI may be leveraged to suggest responses for both caller and agent while they are interacting with each other. The agent may transfer back the caller to the IVR system along with the appropriate machine generated response to maintain efficiency and shorten time of human agent interaction.
SYSTEMS AND METHODS FOR SEARCH BASED CALL ROUTING
A computerized method of routing customer interactions (call and chats) includes the following steps performed by a server computing device: creating a database with a document for every agent with a set of attributes identifying the types of customer interactions they service, receiving a set of call attributes associated with an incoming call; formulating a query of the call attributes against all agent profiles and returning a matching score for all available agents using Elastic Search; and routing the incoming call to a target agent with the highest score in the set of available agents, if there is at least one available agent; or a customer waiting queue, if there is no suitable agent achieving at least a minimum score.
ENHANCING AGENT'S EFFICIENCY IN A CONTACT CENTER BY USING A MULTI-AGENT TO MULTI-CONTACT ROUTING ORCHESTRATION
A computerized method for enhancing agent's efficiency in a contact center by orchestrating a multi-agent to multi-contact attribute-based routing while maintaining seamless contact interaction is provided herein. The computerized method receives a request for service and in response may operate an orchestration engine. The orchestration engine derives contact related information from the communication channel to yield at least one contact attribute and according to a preconfigured set of rules and the agent's availability state, perform attribute-based routing of the request for service to one or more agents and designate a primary agent to handle the request for service and one or more agents as secondary agents. once an interaction between the one or more agents and the contact has commenced the computerized method sends information related to the handled request to the one or more designated secondary agents' and enable them to participate in the interaction via a display.
Systems and methods for search based call routing
A computerized method of routing calls includes the following steps performed by a server computing device: receiving a set of call attributes associated with an incoming call; identifying a document containing call routing instructions corresponding to the call attributes by querying a search index in electronic communication with the server computing device; identifying, based on the document, a set of suitable agents having a skill and a suitable proficiency in the skill by querying an agent skills database in electronic communication with the server computing device; identifying a set of available agents in the set of suitable agents by querying an agent status database in electronic communication with the server computing device; and routing the incoming call to a target agent in the set of available agents, if there is at least one available agent; or a customer waiting queue, if there is no suitable agent.
Virtual caller system
Method starts with a processor receiving configuration settings including an identified task, a relationship data, and a criticality value. Processor initializes a communication session with an agent client device. The communication session is between a virtual caller associated with the system and the agent client device. Processor then processes an audio signal of the communication session to generate an agent utterance and generates a transcribed agent utterance based on the agent utterance using a speech-to-text processor. Processor generates a virtual caller utterance using a task-specific virtual caller neural network associated with the identified task. The virtual caller utterance can be generated based on the transcribed agent utterance. Processor then causes the virtual caller utterance to be played back in the communication session to the agent client device. Other embodiments are disclosed herein.
Method to augment routing delivery systems with intuitive human knowledge, expertise, and iterative artificial intelligence and machine learning in contact center environments
Dynamically routing and re-evaluating a work item based on actions taken on the work item (e.g., adding context information). The augmented routing system categories a work item into one or more dynamic work categories and identifies active knowledge workers and/or knowledge articles based on the work categories. The work item is displayed in a dynamic knowledge worker view, which allows the knowledge worker to take action on the work item. The actions a knowledge worker may take are based on permissions of the knowledge worker, one of the actions that a knowledge worker may take on a work item is to add context information to the work item. After an action is taken on a work item, the system re-evaluates the work item, which may result in the work item being added/removed from one or more work categories; and added/removed from one or more dynamic customized knowledge worker views.
METHODS AND SYSTEMS FOR SOCIALLY AWARE VIRTUAL AGENTS
A Virtual agent that is a fully automated computer software solution that can engage with real people, customers, clients and even other agents. Virtual agents have personality with animation and engage with the customer via text or voice or a combination of both as an actual person. Virtual agents are able to answer customer questions and provide information to address their issues. Virtual agents transfer calls to live agents if they cannot address customer issues.