Abstract:
A service robot may be autonomous, with respect to a portion of a customer service task, and coordinated, with respect to another portion of a customer service task. A resource, such as another robot or an agent (human or automated), may monitor or interact with the robot and, in such a combination, perform a customer service task. The robot may be instructed to pause or delay initiation of a robot portion to allow for a resource to become available at a common time that the interaction portion is to be performed to minimize delay and promote better customer service. Should the delay be beyond an acceptable threshold, the robot may engage in a delay task (e.g., slow down, pause, etc.). The delay task may include a social interaction with a human at a service location.
Abstract:
A service robot is provided to communicate with other devices of a service location, such as another robot. A first and second robot may be tasked with performing a customer service task requiring a physical interaction. The first robot may determine that the second robot lacks instructions to perform the customer service task. Upon making the determination, the first robot retrieves physical interaction instructions and causes the second robot to load and execute the physical interaction instructions. The second robot is then transformed, by the first robot, into a configured robot able to perform the customer service task.
Abstract:
A dialog aggregator provided by a contact center communication system for text-based interaction chains is described along with various methods and mechanisms for administering the same. The dialog aggregator produces a summary, in real-time, of questions posed and existing answers in the interaction chain while identifying outstanding questions that have not been answered for display to an agent. The display includes any current answer the agent is working on as well as completed items and additionally executes rules based on the status of the remaining questions. The display in canonical form of the summary and outstanding question set enables a contact center agent or other observer of the interaction to quickly and efficiently assess the interaction history.
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:
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:
Even with the best efforts to design and deliver accurate systems with usable interfaces, customers often encounter difficulties in completing a task using an electronic device, such as completing a form on a web page, using a software application, or navigating an interface. This may be due to a programming error, inaccurate instructions, or an unusual situation not contemplated by the programmers or designers. Without interaction with a human agent, a cue may be provided to the user upon detection of an issue for completing the task. A co-browse operation may be automatically initiated to provide a cue selected in accord with the issue that thereby allows the user to complete the task.