In the field of government engagement management, for users of an employee desktop web client, it is now possible, within the web client application, to search and read articles and/or knowledge content that has been authored to external locations. Due to this integration to external, third-party applications, content and/or articles can be displayed to an agent on the employee desktop web client graphical user interface. Agents can enter free text into a specific search field and review the results in summary form, and then select an article in HTML format to progress the current interaction with the client. An additional feature extending from this capability is to add an amount of coding to external knowledge content websites that are owned and/or operated by the owner of the system such that when the website is viewed through the third-party integration module, a button or icon appears within the website that when selected takes the agent to an appropriate form. This button or icon does not appear when the website is viewed outside of the system. This functionality adds value to the agent experience and enables the agent to provide an improved service to the end client. Results may be filtered by the search engine as well. Moreover, this system and method improves the operation of the computer in that the computer running such a system in the past was not able to integrate in such a fashion in a web client format. This system and method also enable an agent to handle calls with the web client more efficiently and allows agents on the web client to automatically classify.

Novel tools and techniques are provided for implementing call center-based automated interface with network switches for Internet service diagnostics and provisioning. In various embodiments, in response to receiving a request by a call center user to access an Internet service customer account, a computing system may access information regarding the Internet service customer account that is stored in a database, may identify a network switch that is configured to provide Internet service to customer premises equipment (“CPE”) disposed at a customer premises associated with the customer, based at least in part on the accessed information, and may autonomously access, from other databases, information associated with the Internet service customer account and with a network profile. The computing system may integrate the accessed information, may generate and present a user interface (“UI”) displaying the accessed information, and may autonomously initiate one or more diagnosis and repair procedures.

Systems and methods for automating the use of an IVR system are provided herein. A method includes traversing an interactive voice response (IVR) system using a chatbot, determining a menu structure of the IVR system using audio processing, the menu structure comprising selectable telephonic options, and storing the menu structure in a database. The menu structure, such as an IVR tree, can be used by the chatbot to fulfill user tasks and other requests.

Systems and methods are used to generate contact type predictions that route user customer service requests within a support platform. The contact type predictions are generated using a hybrid model that includes a deep learning component and a business logic component. The deep learning component may generate a multi-channel output based on text features and context features. The multi-channel output is modified based on one or more business rules to generate the contact type predictions.

A redundant Session Initiation Protocol (SIP) call center system has two data centers each having a first and a second SIP server cooperating as a first SIP-server high availability (HA) pair, a set of SW applications executable at each data center, and a plurality of agent stations each comprising a SIP telephone and a computerized appliance executing a desktop application at each agent station. The HA pairs operate as SIP server peers, the agent SIP phones are configured to maintain simultaneous registration with both SIP server peers, and Agent Desktop applications log in to only one SIP server peer, wherein the SIP Server peers collaborate to deliver calls to individual agent SIP phones via the SIP server peer where the agent is logged in, and wherein, upon failure of either data center agent's desktop applications log in to the other data center, allowing the associated agent to continue working.

A method for creating a push notification at a call center includes: receiving a call from a caller device; receiving, from the caller device, caller identification information; receiving, from the caller device, an inquiry; generating an encrypted token including the caller identification information and the inquiry; and when an agent is available, sending a push notification to the caller device for connecting the caller to the agent, the push notification being associated with the encrypted token, and wherein the agent uses the caller identification information from the encrypted token when the agent is addressing the inquiry.

Systems and methods of managing customer journeys are implemented using one or more processors in a computing system. Each journey may comprise a succession of interactions at interaction points such as telephone conversations, responses to an interactive voice response “IVR” system and viewing a web page. Customer journey scores are determined for customers at one or more interaction points along the customer journey and the customer journey score is used to determine whether and when an intervention should take place. Models for determining customer journey scores may be created for a set of customers based on one or both of subjective and objective data relating to a subset of the set of customers that have made some or part of the journey, e.g. customers that have responded to polls. An intervention may take place during the journey or after completion of the journey.

A system including a mobile application on a user's mobile device for connecting to a plurality of contact centers and providing personalized context to the user. The system includes: the mobile application; a connection from the mobile application to a central API service, wherein the central API service provides authentication tokens to the mobile application for facilitating interaction therebetween; a plurality of vendors which the user has associated with their profile and have been integrated with the central API service, wherein the vendors are operably connected with the central API service for information sharing; and a plurality of media channels connecting the plurality of vendors with the central API service, allowing the user to: view personalized context from past interactions between the user and the plurality of contact centers through the mobile application; and connect with the contact centers.

A computer-implemented method and apparatus for facilitating a provisioning of advertisements to customers effects display of one or more advertisements on a Web domain. Each displayed advertisement is configured to offer advertisement related assistance to customers visiting the Web domain. A selection input provided by a customer on an advertisement is received. In response to the receipt of the selection input, the system facilitates customer engagement with a customer support representative associated with an enterprise related to the advertisement. The customer engagement facilitated through the advertisement is configured to provide the advertisement related assistance to the customer.

In some embodiments, a system and method for generating phrase based categories of interactions may include obtaining a base category, the base category including one or more phrases. A base trend for the base category may be generated based on a frequency of appearance of at least one of the one or more phrases in a set of recorded interactions; a candidate phrase may be obtained and a candidate trend may be generated for the candidate phrase based on a frequency of appearance of the candidate phrase in the set of recorded interactions; a correlation level may be determined by relating the candidate trend to the base trend; and, if the correlation level is greater than a threshold level then the candidate phrase may be included the in the base category.