Abstract:
A system for selecting an agent during initial routing based on all the media capabilities associated with a customer and their current device. The system includes a data mining module to mine one or more media capabilities on a device of a customer. The system further includes a customer profile module to build a customer profile based on the one or more mined media capabilities on the device. The system further includes a mapping module to map the customer profile with an agent profile. The system further includes a selection module to select an agent for the customer based on the mapping.
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 method and system for determining occupancy of an agent in a multimodal contact center are provided. The method includes monitoring, by a processor, a plurality of multimodal contacts simultaneously handled by an agent. For each contact of the plurality of multimodal contacts, a media capability of a contact may be determined and one or more parameters based on the media capability and the agent may be determined. A multimodal occupancy score for the agent based on the one or more parameters for each of the plurality of multimodal contacts.
Abstract:
Contact centers often record customer-agent communications for training, quality control, and other purposes. Supervisors often contribute to the communications in the form of voice messages only the agent can hear (e.g., whisper mode) and/or text messages displayed on a screen and optionally documents or other content that may be provided or shared by the supervisor to the agent. Capturing the supervisor's contribution to a communication is provided to enable later playback or review of the communication to include all inputs and enable a more complete understanding of the actions that were or were not taken.
Abstract:
Embodiments disclosed herein provide systems and methods for a scalable videoconference system. In a particular embodiment, a method provides receiving a video stream from a party on a videoconference over a communication network. The method further provides transferring the video stream to a processing device of a plurality of processing devices located on one of a plurality of processing boards operatively coupled to each of one or more server processors. The method further provides processing the video stream to generate a processed video stream and transferring the processed video stream for distribution to other parties on the videoconference.
Abstract:
Systems, methods, and computer-readable storage media for predicting escalation risks in customer support contexts. A system implementing the example method can identify instances of customer escalation from a corpus of customer support sales, customer support, and product software development data, and determine, for the instances of customer escalation, sets of trigger conditions that were at least partially responsible for respective instances of customer escalation. Then the system can classify each of the instances of customer escalation by problem type based on the set of trigger conditions to yield classifications, and add the classifications, the sets of trigger conditions, and the instances of customer escalation to a database. Then the system can compare the database to support data to identify customers or support tasks that are likely to be escalated, and the system or a user can allocate additional support resources to proactively prevent escalations.
Abstract:
Application of enterprise policies to Web Real-Time Communications (WebRTC) interactive sessions using an enterprise Session Initiation Protocol (SIP) engine, and related methods, systems, and computer-readable media are disclosed. In one embodiment, a method comprises receiving, by session token converter of enterprise device, an incoming WebRTC session description token. The method comprises generating, by session token converter, outgoing SIP request message. The method comprises sending, by session token converter, outgoing SIP request message to enterprise SIP engine and applying, by enterprise SIP engine, enterprise policies based on outgoing SIP request message. The method comprises, responsive to applying enterprise policies, sending incoming SIP request message to enterprise device. The method comprises converting, by session token converter, incoming SIP request message into outgoing WebRTC session description token, and sending outgoing WebRTC session description token to a target device.
Abstract:
An agent assisting system for providing assistance to agents of contact center during calls is provided. The agent assisting system includes a monitoring module configured to monitor parameters of a call coming to the contact center. The agent assisting system further includes a sentiment detector module configured to detect sentiments of a user during the call. The agent assisting system further includes a pattern matching module configured to determine a script for an agent handling the call, based on the parameters of the call and the sentiments of the user during the call, wherein the script providing instructions to the agent to improve handling of the call. The agent assisting system further includes a script publishing module configured to publish the script to the agent handling the call.
Abstract:
In order to provide a survey that reflects details of a communication session between two parties, content of an established communication session between the parties is monitored. One or more topics in the content of the communication session are identified. For example, a voice communication between a customer and a call center agent can be monitored to identify a specific topic, such as a discussion about car insurance. Based on the identified topic, a survey is generated by incorporating the topic into the survey. For example, the survey can include a question regarding the customer's car insurance of his four wheel drive SUV, which was discussed during the call. The survey is then presented to or sent to a party of the communication session.
Abstract:
Customer assistance is provided by leveraging certain contact center infrastructure components to a retail setting. Often contact centers have a wealth of information regarding individual products and services a retail setting may offer. The information, as provided herein, may then be delivered to the customer in the form of a dialogue. The dialogue may be based, in part, on a contact center dialogue for the same or similar item. The customer may then be instructed to perform an act, such as retrieving another item at a certain location. Unlike a contact center, the physical presence of the customer provides an opportunity to receive feedback in the form of monitor the customer's actions to determine if the customer complied with instructions. Optionally, a follow up activity may be imitated based on the customer's compliance.