Systems and methods for categorizing received calls based on early call information are disclosed. Early call information can be audio, video, other sensor data, or other data collected via a calling device during call setup or any time before the call is routed to or accepted at a receiving device. A call and early call information associated with the call are received. A call characteristic, which can be a purpose or topic of the call, is identified using the early call information. Based on the call characteristic, the received call is categorized and a relative priority for the call is assigned. The call can be routed based on the early call information, and a suggested response to the call can be identified. In some implementations, a machine learning model is trained to categorize received calls based on early call information.

A device, system and method for selecting calls for forwarding to a communication device is provided. An automated call-answering device answers a plurality of calls associated with an incident. The device assigns, to the plurality of calls, questions associated with the incident, each of the questions assigned to at least two of the plurality of calls. The device asks the questions on the plurality of calls, as assigned. The device receives answers to the questions. The device selects a call to be forwarded to a communication device operated by a human user, the call selected from a group of the plurality of calls where one or more consistent answers were received in response to a given question, the call further selected based on voice attributes of callers in the group of the plurality of calls. The device forwards, to the communication device, the call as selected.

One example method of operation may include identifying a call from a calling device destined for a mobile device, responsive to identifying a calling device number assigned to the calling device, accessing a call content application programming interface (API), operated by a content delivery device, configured to deliver to the mobile device a first caller identification name (CNAM) or a second CNAM, assigned to the calling device number, determining a context assigned to a mobile device number assigned to the mobile device, selecting one of the first CNAM and the second CNAM based on the context, and assigning the selected CNAM to the call.

Systems and methods are configured for predictive prompt generation for an interaction between a party and an automated prompt system. In various embodiments, metadata is received on the interaction and provided as input to a multi-label predictive model to generate interaction probabilities for a plurality of prompt information data objects. Each probability generated by the predictive model provides a likelihood a particular information data object needs to be provided to the first party during the interaction. Accordingly, one or more of the prompt information data objects are identified based on the probability of each piece found in the one or more prompt information data objects that satisfy a set threshold and one or more notifications are provided so that the automated prompt system provides at least one of the prompt information data objects to the first party during the interaction.

A system includes a processor configured to wirelessly receive crash indicia from a vehicle. The processor is also configured to access an occupant profile including medical data relating to an occupant of the vehicle, identify a public safety access point (PSAP), and send the medical data to the identified PSAP, in response to the crash indicia.

Using a conversation context to manage conference participants including receiving a request from an invitee to join a conference in progress; extracting audio from the conference; converting said audio to data describing the conference; matching data to a context, wherein the context comprises a specification of a subject matter of the conference and a list of authorized participants for the conference; comparing the invitee to the list of the authorized participants for the conference; responsive to determining that the invitee matches an authorized participant of the list of authorized participants for the conference, granting permission to the invitee to join the conference; and responsive to determining that the invitee does not match an authorized participant of the list of authorized participants for the conference, denying the invitee access to the conference.

A system and method provide an integrated automation solution that links multiple systems and applications of a contact center operation and provides a unified support interface and unified knowledge base that delivers relevant data in real-time to assist contact center personnel during a customer interaction. Robotic Process Automation (RPA) is used for automating workflows and processes with robots (e.g., attended and/or unattended) that perform various tasks and activities for capturing information (data, documents, etc.) from multiple front-end and/or back-end systems and applications to provide the necessary data and information in real-time during a contact center session.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatically generating enhanced caller identification data are disclosed. In one aspect, a method includes the actions of receiving telephone call placement data that indicates the placement of a telephone call from a calling party to a called party. The actions further include receiving caller identification data. The actions further include accessing first telephone call data that reflects characteristics of telephone calls placed and received by the calling party. The actions further include based on the first telephone call data and the identity of the calling party, determining additional data to combine with the caller identification data. The actions further include generating enhanced caller identification data by combining the additional data with the caller identification data. The actions further include providing, for output, the enhanced caller identification data and data indicating the telephone call.

Technologies for monitoring interactions between customers and agents include an interaction management computing device communicatively coupling a customer computing device and an agent computing device to facilitate a support call interaction. The interaction management computing device is configured to receive a video call from a customer and perform a facial recognition analysis of the customer based on images of the customer received with the video call. Additionally, the interaction management computing device is configured to determine a probable emotional state of the customer as a function of the facial recognition analysis of the customer and insert the video call into a service queue as a function of the probable emotional state of the customer. Additional embodiments are described herein.

Methods and systems for call processing are described. A call from a caller intended for a first party is received at a call processing system, which stores call signaling information associated with the call. A greeting is played to the caller, and a voice communication is received and recorded. At least a first portion of the voice communication is transmitted in substantially real time to a terminal associated with the first person. At least a portion of the voice communication is converted to text and the text is stored and transmitted to a terminal associated with the first party. When a search query is received from the first party, the system searches the data store to determine if there is matching call having related matching call information. If there is a matching call, related information may be provided to the first party.