Abstract:
A graph database is described for use in connection with a contact center. The graph database includes a plurality of nodes and relationships that describe the operations, entities, personnel, and attributes in the contact center. Also described is the operation of a work assignment engine that leverages the graph database to make intelligent and flexible work assignment decisions.
Abstract:
To provide better metrics for a contact center, the system determines when a contact center agent has been assigned to a plurality of agent skills in a skill group. A skill group is a set of skills for which the contact center seeks to calculate overall metrics across those skills. Information is received that the contact center agent is in a first state for the plurality of agent skills. For example, the contact center agent is available to support the different products. A status is calculated for the contact center agent in the skill group. The status for the contact center agent in the skill group is calculated based a minimum or maximum of the first state of the contact center agent in the skill group. The status of the first agent in the skill group is sent to a contact center administrator to better manage the contact center.
Abstract:
Contact centers comprise agents, human and automated, interacting with customers over a network to accomplish an objective for the interaction. While a blunt, factual exchange may appear to be the most expeditious means to accomplish the objective, often this is not the case. Humans often respond better when the interaction comprises a mix of progress (e.g., portions of the interaction directed towards the objective) and banter (e.g., portions of the interaction not directed to the progress). Determining the mix may be provided by analyzing historic interactions and their success. A current interaction may be analyzed and when the mix is outside an acceptable range and an automated agent may be configured to alter the mix accordingly or, when the agent is a human, signal the agent to make the alteration. Success may be continually monitored and the target mix adjusted based on subsequent interactions.
Abstract:
A graph database is described for use in connection with a contact center. The graph database includes a plurality of nodes and relationships that describe the operations, entities, personnel, and attributes in the contact center. Also included in the graph database is an attribute tree that enables a work assignment engine in the contact center to make proximity-based work assignment decisions.
Abstract:
A mechanism for avoidance of one or more resources for work assignment based on nodes and relationships within an attribute tree of a graph based contact center is described along with various methods and mechanisms for administering the same. Avoidance methods are disclosed that allow an administrator to set up a graph database operable to automatically block work assignment to certain resources based on set rules and conditions. The graph database is additionally designed as a learning system that can adapt and respond to changing rules and conditions over time, including historically successful and unsuccessful interactions, attribute changes for customers and agents, and changes in desired results. Agent matching and customer satisfaction are improved with the avoidance of inappropriate or undesirable resources.
Abstract:
A real-time or non-real-time communication from a customer communication endpoint is received. A work item is generated that represents the real-time or non-real-time communication. For example, a real-time voice communication is received and tracked in a contact center as a work item. First data from an external data service provider (DSP) is consumed. For example, the first data is received from an Experian® data service. The first data is natively provided by the external DSP in a first format. For example, the first format may be in Extended Markup Language (XML). The first data is converted into second data in a second format for use in a contact center. The second data in the second format is used to: 1) select a first offer from multiple offers; and 2) route the work item and the first selected offer to a communication element (e.g., an agent communication endpoint).
Abstract:
A graph database is described for use in connection with a contact center. The graph database includes a plurality of nodes and relationships that describe the operations, entities, personnel, and attributes in the contact center. Also described is the operation of a work assignment engine that leverages the graph database to make intelligent and flexible work assignment decisions.
Abstract:
A predictive model for abandoned calls provided by a contact center communication system for routing optimization is described along with various methods and mechanisms for administering the same. Based on multiple attributes, the system can calculate the probabilities, risks, and costs associated with abandonment and wait, taking into account the patience of a caller, region where the caller lives, agents available to handle the call, length of time that the caller has already been waiting, potential cost of having the caller and call type abandon, and potential total cost of having the caller wait to be served.
Abstract:
A predictive model for abandoned calls provided by a contact center communication system for routing optimization is described along with various methods and mechanisms for administering the same. Based on multiple attributes, the system can calculate the probabilities, risks, and costs associated with abandonment and wait, taking into account the patience of a caller, region where the caller lives, agents available to handle the call, length of time that the caller has already been waiting, potential cost of having the caller and call type abandon, and potential total cost of having the caller wait to be served.
Abstract:
A graph database is described for use in connection with a contact center. The graph database includes a plurality of nodes and relationships that describe the operations, entities, personnel, and attributes in the contact center. Also described is the operation of a work assignment engine that leverages the graph database to make intelligent and flexible work assignment decisions.