A call management system of a call center retrieves from a customer database enterprise customer data associated with an identified customer in a customer call, which may include customer event data, attributions data, and activity event data. The customer database tracks prospects, leads, new business, and purchasers of an enterprise. The system retrieves customer demographic data associated with the identified customer. A predictive model is selected from a plurality of predictive models based on retrieved enterprise customer data. The selected predictive model, including a logistic regression model, and tree-based model, determines a value prediction signal for the identified customer, then classifies the identified customer into a first value group or a second value group. The system routes a customer call classified in the first value group to a first call queue assignment, and routes a customer call classified in the second value group to a second call queue assignment.

A method and system for identifying an unwanted caller using a call answering system. The method comprises receiving, by a call records server, information about callers from a plurality of telephony devices and one or more phone number data sources, classifying, by the call records server, one or more of the callers as either wanted or unwanted callers based on the received information, and storing, by the call records server, the received information and the classification of the one or more of the callers into a directory. The method further comprises identifying, by a call answering server, that a call from a given caller from a phone number to a receiving telephony device is from an unwanted caller by searching the directory, and handling, by the call answering server, the call from the given caller according to one or more preferences of the user, the one or more preferences including rejecting the call from the receiving telephony device, playing a recorded message, and disposing of the call.

A method and system for identifying an unwanted caller using a call answering system. The method comprises receiving, by a call records server, information about callers from a plurality of telephony devices and one or more phone number data sources, classifying, by the call records server, one or more of the callers as either wanted or unwanted callers based on the received information, and storing, by the call records server, the received information and the classification of the one or more of the callers into a directory. The method further comprises identifying, by a call answering server, that a call from a given caller from a phone number to a receiving telephony device is from an unwanted caller by searching the directory, and handling, by the call answering server, the call from the given caller according to one or more preferences of the user, the one or more preferences including rejecting the call from the receiving telephony device, playing a recorded message, and disposing of the call.

A method for permitting unfamiliar call, applied to a communication device having a memory and a call-blocking app to provide an unfamiliar call, includes the steps of: configuring an area in the memory of the communication device as a storage unit; recording at least one password into a password-correlated table in the storage unit, each of the at least one password being related to a specific user of the communication device; as an unfamiliar call is received, asking a caller of the unfamiliar call to provide an answer for a trivial question immediately provided by the communication device; determining whether or not the answer matches any of the at least one password in the password-correlated table; forwarding the unfamiliar call to the user corresponding to the matched password listed in the password-correlated table if positive; and, blocking the unfamiliar call if negative.

A method for permitting unfamiliar call, applied to a communication device having a memory and a call-blocking app to provide an unfamiliar call, includes the steps of: configuring an area in the memory of the communication device as a storage unit; recording at least one password into a password-correlated table in the storage unit, each of the at least one password being related to a specific user of the communication device; as an unfamiliar call is received, asking a caller of the unfamiliar call to provide an answer for a trivial question immediately provided by the communication device; determining whether or not the answer matches any of the at least one password in the password-correlated table; forwarding the unfamiliar call to the user corresponding to the matched password listed in the password-correlated table if positive; and, blocking the unfamiliar call if negative.

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.

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.

One example method of operation may include receiving a call message intended for a call recipient, removing one or more portions of call message data included in the call message, identifying one or more of a trunk group and an entry point associated with the received call message, adding one or more of a trunk group identifier (TGRP) and a universally unique identifier (UUID) to the call message to create a modified call message, and forwarding the modified call message to a destination network associated with the call recipient.

One example method of operation may include receiving a call message intended for a call recipient, removing one or more portions of call message data included in the call message, identifying one or more of a trunk group and an entry point associated with the received call message, adding one or more of a trunk group identifier (TGRP) and a universally unique identifier (UUID) to the call message to create a modified call message, and forwarding the modified call message to a destination network associated with the call recipient.

In an example embodiment, a cloud-based unified communications solution and collaboration platform is provided that includes private branch exchange (PBX) business phone service, among other services, in one interface. Furthermore, in an example embodiment, this cloud-based unified communications solution enables a feature called “call flip,” which allows a user to transfer an active phone call from one device of the user to another device of the same user, without disconnecting the phone call, and despite both devices sharing a common extension or phone number. More particularly, the system is able to detect that a user wishes to perform a “call flip”, identify the device from which the user is attempting to perform the call flip, identify the other devices associated with the user, and then ring only the other devices and not the device from which the user is attempting to perform the call flip.