Verint Americas Inc.

Verint Systems, Inc.

Witness Systems, Inc.

James Gordon Nies

Jason Fama

Joseph Watson

Mike Bourke

Jeff Iannone

Shimon Keren

Simon Shvarts

Uri Peleg

Thomas Lyerly

Srivijaya Srinivasa

John Bourne

Nick McLean

Vinod Prabhu

Ed Murray

Martin McCreesh

Oren Stern

Christopher J Jeffs

Shmuel Korenblit

Ari Volcoff

Dror Daniel Ziv

Scott Blacker

Systems and methods of automated personalized guidance include the evaluation of interaction content data. At least one automated guidance is assigned to an agent based upon the evaluation. The automated guidance is defined by at least one interaction type and at least one guidance trigger. Interaction content data is monitored to identify instances of the interaction type and the guidance trigger. Upon identification of the interaction type and the guidance trigger, the automated guidance is automatically provided. The automated guidance is then evaluated based upon the interaction content data.

Use of analytics methods for personalized guidance

Systems and methods of design, delivery, and analysis of customer feedback surveys include receiving interaction content. Interaction content is analyzed to identify at least one issue arising in the interaction content. A survey of a plurality of questions is automatedly created based upon the identified at least one issue. A delivery channel for the survey is determined. The survey is delivered through the determined delivery channel. A survey response with survey results data is received.

Analysis of customer feedback surveys

Systems and methods of automated personalized guidance include the evaluation of interaction content data. At least one automated guidance is assigned to an agent based upon the evaluation. The automated guidance is defined by at least one interaction type and at least one guidance trigger. Interaction content data is monitored to identify instances of the interaction type and the guidance trigger. Upon identification of the interaction type and the guidance trigger, the automated guidance is automatedly provided. The automated guidance is then evaluated based upon the interaction content data.

Embodiments are disclosed herein for processing agent interactions. In a particular embodiment, a method provides receiving interaction data describing states and transitions between states within interaction sessions. The method further provides identifying business processes based on the interaction data and identifying instances of the business processes. The method further provides storing the instances and generating a model from the instances.

System and method for processing agent interactions

Systems and methods for scheduling workforces are provided. In this regard, a representative method includes: generating a forecast requirement related to a volume of work to be handled by a first workforce and a second workforce, wherein the second workforce is remote from the first workforce; generating work schedules for personnel of the second workforce based on the forecast requirement and skills of the personnel of the second workforce; receiving information corresponding to the work schedules and the skills of the personnel of the second workforce that share work with the first workforce, wherein the work schedules comprise activities; correlating the skills contained in the information with skills that are to be used for scheduling personnel of the first workforce; correlating the activities contained in the information with activities that are to be used for scheduling the personnel of the first workforce; and generating work schedules for the personnel of the first workforce based, at least in part, on a correlation between the skills of the personnel of the second workforce and the first workforce and a correlation between the activities of the personnel of the second workforce and the first workforce.

Systems and methods for scheduling contact center agents

Method and systems are presented for presenting multiple activities associated with one of a plurality of call center agents correlated in time. In one embodiment, the method comprises the steps of: determining at least one of the agents to be displayed; and displaying activity information in visual correlation with a timeline. The activity information includes a first plurality of activities originating from a first source and a second plurality of activities originating from a second source. Each of the activities is associated with the at least one agent.

System and method for integrated display of multiple types of call agent data

Embodiments disclosed herein provide systems and methods for processing and displaying call state and application usage information in a contact center environment. In a particular embodiment, a method provides receiving application usage information and call state information and processing the application usage information and the call state information to determine an amount of time spent using each application of a plurality of applications by each agent of a plurality of agents during each call state of a plurality of call states. The method further provides generating a representation of the amount of time spent using at least one of the plurality of applications by at least one of the plurality of agents during at least one of the plurality of call states.

Determining and displaying application usage data in a contact center environment

Systems and methods of integrating workforce management and contacts analysis are disclosed. An exemplary method comprises receiving content data derived from classification of a plurality of recorded agent contacts. The contact content data is correlated with past time period. The method also comprises identifying at least one pattern in the contact content data. The pattern is based on the contact classifications. The method also comprises receiving historical workload data from a contact router, and generating a workload forecast based on the historical workload data and the identified pattern.

System and method for integrated workforce and analytics

Methods and systems are presented for detecting business transactions from sequences of call center agent activities. In one embodiment, the method comprises the steps of: receiving a plurality of agent activity events; matching a sequence of events within the received events with one of a plurality of transaction definitions; creating a transaction from the matching sequence; and displaying the transaction.

System and method for detecting and displaying business transactions

Systems and methods are disclosed for an optimizing operations at a contact center. In one embodiment, an integrated contact center comprises: a content recorder configured to record content of plurality of agent interactions; an analytics component configured to perform speech analysis on at least a portion of the agent interactions, and further configured to evaluate the interactions based on a plurality of criteria, producing a score; and a quality monitor configured to associate the analyzed interactions with interaction metadata.

Systems and methods for workforce optimization and analytics

Systems and methods are disclosed for an integrated process for optimizing operations at a contact center. In one embodiment, the method comprises: defining contact center business goals; planning at least one campaign to implement the goals; scheduling and deploying a workforce in accordance with the campaign to produce agent-customer interactions; measuring agent performance on the interactions to produce quality metrics; analyzing the metrics to produce a rating; combining quality metrics to produce performance indicators; and using the performance indicators in the planning step of a second campaign or another iteration of the first campaign.

Systems and methods for workforce optimization

Systems and methods are disclosed for an optimizing operations at a contact center. In one embodiment, an integrated contact center comprises: a workforce manager comprising a scheduler and a tracking function; and a lesson assignment function configured to receive at least one indicator of performance of the agent, and further configured to assign a lesson to the agent based on the at least one indicator.

Systems for integrating contact center monitoring, training and scheduling

The systems and methods described herein provide a drill through engine that facilitates integration of solutions for performing workforce management, quality monitoring, e-learning, performance management, and analytics functionality. The drill through engine facilitates combining quality monitoring/call recording with performance management and e-learning functionality as a unified integrated solution. The combination can be delivered through a single platform and enables users to gain more insight and make smarter decisions faster about sales, service, and overall operations. This takes customer center tools beyond the traditional 'suite' approach to a true single workforce optimization platform.

Systems and methods for context drilling in workforce optimization

Systems and methods for integrating outsourcers are provided. In this regard, a representative method includes: receiving information corresponding to resources of a first contact center; and correlating the information with other information in order to improve integration of resources of the first contact center with resources of one or more other contact centers.

Systems and methods for integrating outsourcers

Systems and methods for scheduling contact center agents are provided. In this regard, a representative method includes: receiving information corresponding to work schedules and skills of agents of a remote contact center that shares contacts with a local contact center; correlating the skills with skills that are to be used for scheduling agents of the local contact center; and generating work schedules for the agents of the local contact center based, at least in part, on a correlation between the skills of the agents of the remote contact center and the local contact center, and an evaluation of the work schedules of the agents of the remote contact center.

Growing community of inventors

Carmel, IN, United States of America

James Gordon Nies