The disclosed system identifies international calling performance issues of a wireless telecommunication network. The system receives network traffic data for international calls including information about call attempts to a country. The system categorizes the country into a major category and a minor category based on the call attempts information. For a subset of countries, and for each key performance indicator in a subset of selected key performance indicators, the system monitors performance using an anomaly detection model to identify an anomaly in network performance, determines an actual value of the key performance indicator for the detected anomaly, and computes a variation value of the determined actual value based on a predicted range of values. The system ranks countries using the computed variation values, to indicate problematic parts of the wireless telecommunication network.

Disclosed are systems and methods for forecasting inbound telecommunications, and more particularly, for analyzing real-time and historical call center data, and applying a forecasting model to said data in order to predict inbound call volume. Additionally, tools are disclosed for manipulating call center data and generating visual representations of metrics pertaining to forecasting call center data via a dashboard.

A method including: receiving one or more datasets indicating call activity corresponding to a phone number; analyzing the one or more datasets to identify unusual call activity; and generating a fraud prediction, based at least in part on the identified unusual call activity, that the phone number will be used for fraud.

A method for generating a predictor of customer behavior for a contact center includes: collecting, by a processor, data from a plurality of different applications of the contact center, the data being stored in a plurality of different formats, the data corresponding to a plurality of recorded interactions between a plurality of customers and the contact center; converting, by the processor, the data from the plurality of different formats into a common format; generating, by the processor, a plurality of customer models for the customers by, for each customer of the customers: identifying, from the data from the plurality of different applications, identified data associated with the customer; and aggregating the identified data in an individual customer model of the plurality of customer models, the individual customer model being associated with the customer; and generating, by the processor, a predictor in accordance with the customer models.

Methods and apparatuses are described for determining customer service quality through digitized voice characteristic measurement and filtering. A voice analysis module captures a first digitized voice segment corresponding to speech submitted by a user of a remote device. The voice analysis module extracts a first set of voice features from the first voice segment, and determines an emotion level of the user based upon the first set of voice features. The voice analysis module captures a second digitized voice segment corresponding to speech submitted by the user. The voice analysis module extracts a second set of voice features from the second voice segment, and determines a change in the emotion level of the user by comparing the first set of voice features to the second set of voice features. The module normalizes the change in the emotion level of the user using emotion influence factors, and generates a service score.

A contextual lead generation in an automated communication link establishment and management system may store information related to sales calls. The system may identify strengths and weaknesses of a sales representative. The system may provide training content to the sales representative in real time base on the identified strengths and weaknesses.

Systems and methods for handling a telecommunications session in real-time are provided, where the telecommunications session is initiated by a calling device and intended for a receiving network. One system comprises a module, in communication with a communications network associated with the telecommunications session, configured for intercepting the telecommunications session prior to reaching the receiving network, obtaining address information associated with the calling device, determining a credit-related score for the telecommunications session based on the address information, identifying an appropriate unit of the receiving network based on the credit-related score, and routing the telecommunications session to the appropriate unit. The system also includes a memory for storing the module and a processor in communication with the memory to execute the module.

Systems and methods for creating a network communication pathway between devices based on type of communication request are disclosed. The system obtains a communication object from a first device to enable communication with a second device. The first device may be a device within an affinity group of the second device, such that the system identifies historic data relating to the affinity group and/or relating to communication attempts from non-subscriber devices found in one or more affinity groups stored within the system. Based on the communication object type, the system identifies whether communication object relates to a question object previously received from the second device and calculates an Expert Attribute Score (EAS) for the first device. The system may evaluate the EAS against a predetermined threshold and transmit the communication object to the second device, if the EAS is greater than or equal to the predetermined threshold.

Systems and methods of recommending that two people form a link on a social networking system uses activities conducted by a first person on a telephony system to determine the names of individuals and businesses that the first person has communicated with through the telephony system. This list of names and individuals is then compared to the names of individuals and businesses that are members of the social networking system. If the first person is communicating with individuals or businesses who are members of the social networking system, a recommendation that they form a link on the social networking system is issued to one or both parties.

The disclosed technology provides a system and method for correlating events from a single application run in a cloud communications network using session identifiers uniquely identifying a communication session, and event identifiers uniquely identifying events in network elements of the cloud communication network. A data manager of the cloud communications network maps common fields and event-specific fields of network element event records to common fields and generic fields of a data warehouse based on the event type of the event to be recorded.