Systems and methods for customizing business applications based upon user intent scores is described. A machine learning model trained to specifically predict when a user is likely to engage in a specific activity while interacting with the business application may be trained using data regarding prior interactions between a business application and a plurality of users. The machine learning model may thereafter provide a probability score for a particular user, the probability score indicating the likelihood that the user will engage in the specific activity for which the model has been trained to predict. The probability may be combined with a business value factor to produce a user intent score indicating the relative value of the user engaging in the specific activity. A business application comprising an app executing on a client device, a webpage, an automated menu at a call-in service center, or human operator interacting with the user at a call in the service center may be customized for the particular user based upon the user intent scores.

Technology for placing a user on-hold can include sending a push notification to a user device after the call has been placed on-hold. A link in the push notification can request authentication credentials from the user. When the authentication credentials have been received and verified, a chat window can be launched via an application on the user device. The intent of the call can be determined based at least in part by information received via the chat window. The authentication information and the intent of the call can be transferred to a representative answering the call.

A personal safety service notifies a pre-defined group of emergency contacts about an occurrence of emergency associated with a user. To do so, a personal safety service server comprising a processing device and a memory receives an indication of the emergency and a location of the emergency from a wearable mobile device and sends a notification message via a push notification displayed on user devices of a predefined group of emergency contacts indicating the occurrence of the emergency. The personal safety service server periodically receives updates to the location of the wearable mobile device from the personal safety service client application.

Concepts and technologies are disclosed herein for communications network security for handling proxy voice calls that employ a voicebot. According to one aspect disclosed herein, a call handling system can intercept, from a communications network, a call request that is directed to a called target device. The call handling system can determine that the call request was generated by a voicebot on behalf of a user equipment. The call handling system can suspend the call request from being routed to the called target device. The call handling system can generate a voicebot confirmation request that identifies the voicebot and the user equipment. The call handling system can provide the voicebot confirmation request to the called target. The call request can be suspended while the voicebot confirmation request is provided to the called target device.

A first device may receive a request to establish a replication session between a second device and a third device, where the replication session is associated with replicating user interactions with a user interface of an application across a first instance and a second instance of the application. The first device may receive, after receiving the request, information identifying a set of interactions by a user of the second device with a first user interface provided for display by the first instance. The first device may determine, from the information, a set of instructions related to causing an indication for the set of interactions to be provided for display on a second user interface provided for display for the second instance based on the information being received from the second device. The first device may provide, after determining the set of instructions, the set of instructions to the third device.

A call analytics system and associated methods that can be used to rapidly analyze call data and provide conversational insights. The call analytics system receives audio call data of a phone call between a customer and an agent of a business, and converts the call data into one or more messages for handling by a distributed stream-processing platform. In some embodiments, the stream-processing platform is the Apache Kafka platform. The distributed platform processes the messages and communicates with various software modules to generate a variety of conversational insights. When processed by a stream-processing platform, certain analyses can occur in parallel which allows conversational insights to be provided to the businesses shortly (e.g., within seconds) after the call data is received.

Certain aspects of the disclosure are directed to template-based management of telecommunications services. According to a specific example, a server is provided comprising one or more computer processor circuits configured to interface with a remotely-situated client entity using a first programming language. The server includes a call control engine that is configured to provide a private branch exchange (PBX) for the client entity, and identify a call control template written in a second programming language. The call control engine is further configured to control call routing by the PBX, by executing the call control template to identify at least one data source that corresponds to a call property for the VoIP telephone call, retrieve data from the data source, and implement one or more call processing functions specified by the call control template as being conditional upon the retrieved data.

The invention concerns a query response device comprising: an input adapted to receive user queries; a memory (106) adapted to store one or more routing rules; one or more live agent engines (116) configured to support interactions with one or more live agents; one or more virtual assistant engines (120) configured to support interactions with one or more virtual assistants instantiated by an artificial intelligence module (103); and a routing module (104) coupled to said live agent engines and to said virtual assistant engines, the routing module comprising a processing device configured: to select, based on content of at least a first user message from a first user relating to a first user query and on said one or more routing rules, a first of said live agent engines or a first of said virtual assistant engines; and to route one or more further user messages relating to the first user query to the selected engine.

Techniques for hybrid behavioral pairing in a contact center system are disclosed. In one embodiment, the techniques may be realized as a method for hybrid behavioral pairing in a contact center system comprising: determining a first ordering of a plurality of contacts according to a behavioral pairing strategy with a balanced contact utilization; determining a second ordering of the plurality of contacts according to a performance-based routing strategy with an unbalanced contact utilization; determining a third ordering of the plurality of agents according to a combination of the first ordering and the second ordering having a skewed contact utilization between the balanced contact utilization and the unbalanced contact utilization; and outputting a hybrid behavioral pairing model based on the third ordering for connecting an agent to a contact of the plurality of contacts in the contact center system.

The communication system includes a communication unit that receives a conversation of a user, an accumulation unit that accumulates a conversation frame that describes a structure of a conversation generated on a basis of the conversation of the user collected via the communication unit, and a control unit that obtains a feeling parameter related to a feeling of the user who sends the conversation in units of the collected conversation. The control unit further extracts the conversation frame from the conversation on a basis of the feeling parameter, and accumulates the conversation frame in the accumulation unit.