Abstract:
An agent may be qualified to perform a number of tasks, each requiring different levels of mental and/or physical ability. Prior to scheduling the agent to work a particular task, a scheduling process receives biometric data for the agent and, based on the biometric data and the demands of the various tasks, schedules the agent to work on one task versus another task. As a benefit, the agent's present abilities and/or impairments may be better utilized by scheduling the agent to perform tasks for which they are better suited and/or not scheduling the agent to perform tasks for which they are less well suited. Agents may be incentivized to provide the biometric data and/or maintain their ability to be able to perform certain tasks.
Abstract:
Automated method and systems are provided for determining a gap exists in an enterprise's knowledge base. Once a gap is determined, a question is developed in accord with the gap. An answer is then developed to answer the question and the knowledge base is updated accordingly. The source of the information may be cross-domain information such that an enterprise may include relevant information, and/or more usable information, than what could be otherwise provided by information limited to the enterprise's domain.
Abstract:
Contact center strived to provide needed skills in close proximity to an anticipated demand for the skills. Skills may be needed to replace agents that are reassigned or that are no longer agents of the contact center. Training and recruitment of agents represents a significant investment in time money and other agents for a contact center. Determining a trajectory for a particular candidate to acquire the needed skill, at a point before the contact center fully invests in training, allows the agent to be excluded from future training should the agent not perform as expected were in the performance is measured at least one midpoint towards acquisition of the needed skill. As a benefit, agents can be directed towards acquiring the needed skills from other sources.
Abstract:
A contact center system can receive messages from social media sites or centers. The messages may include a problem encountered by a customer. The system can review messages to identify the problem and any solution provided in the social media. The system may then automatically retrieve, store, and repurpose the solution. Thus, the system uses the discovered solution to respond to future occurrences of the problem.
Abstract:
Contact centers may incorporate automated agents to respond to inquiries. The inquiries may solicit a substantive response, for example, by providing a time when the inquiry asks for the departure time for a flight. Such responses omit the normal conversational subject matter used to embellish person-to-person conversations and appear are very machine-like. Herein, a source of user context, such as a social media website, customer database, or other data, is accessed. Certain aspects of the customer may then be identified and used to embellish the reply with additional and/or alternative content. As a result, the reply may be more conversational.
Abstract:
An automated system for message analysis whereby messages within a given category may be identified and processed as a category connote. While a domain of messages may be monitored and processed in the due course of business, connote message are different. For example, a number of messages may fall into a domain of “poor airline food.” Such messages may be processed in the due course of business. However, a message with a different aspect, such as, “I found glass in my food,” may be initially identified as begin within the domain of “poor airline food,” and processed further to distinguish the message as being a connote with regard to the “poor airline food” category and warranting special handling.
Abstract:
Automated method and systems are provided for determining a gap exists in an enterprise's knowledge base. Once a gap is determined, a question is developed in accord with the gap. An answer is then developed to answer the question and the knowledge base is updated accordingly. The source of the information may be cross-domain information such that an enterprise may include relevant information, and/or more usable information, than what could be otherwise provided by information limited to the enterprise's domain.
Abstract:
A contact center system can receive messages from social media sites or centers. The messages may be in a foreign language. The system can review messages by identifying content in the social media messages with negative/positive sentiment and then identify a seed term in the messages. A seed term can be a word in another language, different from the message body. The seed term is then used to find one or more other words, in the foreign language, that are correlated with the seed term. The identification of the found words in other messages can then be used to determine sentiment in the foreign language.
Abstract:
A contact center system can receive messages from consumers. The system can then interact with the consumer or customer using a dialog. Before conducting the session with the consumer, past interactions using the dialog are reviewed to determine words, phrases, and other information that caused the dialog to be successful. The information is stored as norms. Upon beginning a new interaction with the dialog, the norms and the past successful dialogs are retrieved and compared to the active dialog while the interaction is on-going. The comparison is then used to ensure that the present active dialog will lead to a successful outcome or to resolve any issued if the outcome is not likely to be successful.
Abstract:
A contact center system can receive messages from social media sites or centers. The system can review long messages by identifying content in the long message with negative sentiment. The content with negative sentiment is further analyzed to determine whether the identified content is actionable. If the identified content is actionable, the communication system can automatically routed the long message to an agent for response.