A method facilitating a cross-channel interaction between a customer and a contact center. The method includes: receiving and conducting a first interaction with the customer; determining a first identifier related to the first interaction; storing, in a database, the first identifier and associating the first identifier with the first interaction; receiving a second interaction from the customer; determining a second identifier related to the second interaction; using the second identifier to check the database to determine if the second interaction is associated with the first interaction; determining, based on the check of the database, that the second interaction is contextually related with the first interaction; and modifying, in response to determining that the second interaction is contextually related to the first interaction, at least one way in which the second interaction is handled by the contact center.

A method and system for the leveraging a reserved relationship number by an SLS platform and/or SLS phone module for the purpose of performing special operations other than making an SLS call available for termination at a subscriber TD and/or a third party TD involve associating the SLS phone number of the subscriber, the primary number of the subscriber and a next set of instructions via a common reserved relationship number.

A system and method for dynamically providing safe call back numbers to use to respond to an inbound communication, the method comprising parsing message records from a message server, analyzing the message records for untrustworthy phone numbers by comparing content of the message records to a reference data set that is retrieved from a database, the reference data set including genuine and fraud data wherein the genuine and fraud data includes entities and contact information corresponding to the entities, determining untrustworthy phone numbers in the message records from the analysis, and generating remedy actions based on the determination of the untrustworthy phone numbers.

A method of routing a customer to a desired representative of a call center includes, in accordance with an embodiment of the present disclosure, receiving a communication from the customer. The method also includes identifying, within a database saved to a server, a customer account associated with the customer, and identifying data indicative of one or more life event entries saved to the customer account and corresponding with one or more life events of the customer. The method also includes applying the identified data indicative of the one or more life event entries to a history-based statistical models, where each history-based statistical model represents a corresponding call routing channel. The method also includes assigning a probability score for each history-based statistical model, where each probability score represents a likelihood that the corresponding call routing channel represented by the history-based statistical model is desired by the customer. The method also includes routing, via a switch, the customer to the desired representative via the call routing channel associated with the desired representative.

A method for managing an unallocated telephone number in a communication network, the telephone number being previously allocated to a user of the communication network until a suspension date. The method is implemented by an item of equipment of the network and includes: obtaining information relating to a call set-up request received by the communication network to the telephone number during an observation period of time subsequent to the suspension date; updating, according to the information relating to the call set-up request, information relating to an activity level of the telephone number in the communication network, the information relating to an activity level being representative of a number of requests to set-up a call to the telephone number received by the network for the given observation period and storing in a data table the information relating to an activity level of the telephone number in association with the telephone number.

A method and apparatus for providing emergency assistance includes receiving audio, visual, or text data about an ongoing emergency at a public safety answering point, comparing that data to a database of other emergencies with an artificial intelligence engine, recognizing patterns in aggregated and correlated data by the artificial intelligence engine, and generating appropriate audio, visual, and text output for a human operator to respond to the emergency. An AI engine receives audio data, visual data, and text data related to ongoing emergencies being received at public safety answering points and compares it with data from other emergencies. The AI engine identifies key words and patterns and generates appropriate messages for operators. The system continuously generates feedback to the AI engine to aid in machine learning. The feedback includes: “the message was correct; continue drawing this conclusion”; and “the message was wrong; do not continue drawing this conclusion.”

A method for text capture is provided. The method receives as inputs from a user via a mobile-text enabled device of the user, one or more telephone numbers of one or more mobile text-enabled devices of other users to engage in a message exchange there among and an additional non-user phone number dedicated only for message capture by a SMS API Provider which uses its Short Message Service (SMS) Application Programming Interface (API) for momentarily synchronizing with a SMS API gateway of a remote message capture device connected to the SMS API provider. The method momentarily captures, by the SMS API gateway of the remote message capture device using the momentary synchronization with the SMS API provider, message content and metadata for messages of the message exchange. The method stores, by the remote message capture device, the message content and the metadata in a searchable remote message repository.

A method and system matching contact center agents and back office staff with a customer inquiry. Exemplary systems include an expert term extraction engine, a customer term extraction engine, and a matching engine to compare customer request terms to the expert terms from the customer term extraction engine. The comparison determines whether there is a match or potential match between the customer request terms and the stored expert terms. An exemplary system may also include a timer that communicates with one or more communication servers. Back office staff may assist contact center agents when one or more conditions are met, such as when a customer wait time exceeds a predetermined period or when there is no match or potential match between the customer request terms and the stored expert terms for contact center agents.

The present invention discloses a system, apparatus, and method that obtains audio and metadata information from voice calls, generates textual transcripts from those calls, and makes the resulting data searchable via a user interface. The system converts audio data from one or more sources (such as a telecommunications provider) into searchable usable text transcripts. One use of which is law enforcement and intelligence work. Another use relates to call centers to improve quality and track customer service history. Searches can be performed for callers, callees, keywords, and/or other information in calls across the system. The system can also generate automatic alerts based on callers, callees, keywords, phone numbers, and/or other information. Further the system generates and provides analytic information on the use of the phone system, the semantic content of the calls, and the connections between callers and phone numbers called, which can aid analysts in detecting patterns of behavior, and in looking for patterns of equipment use or failure.

A system herein provides automated call-back of customers who have terminated an inbound call by exercising a call-back option of an interactive voice response unit or by abandoning the inbound call, using predictive modeling of caller value to prioritize call-backs. The call management system monitors the inbound customer call and detects any termination of the customer call. A call-back module opens a call-back record for the terminated customer call and associates that call-back record with an identified customer. The call-back module retrieves customer demographic data and other data associated with the identified customer. A predictive module determines a value prediction signal for the identified customer by modeling purchase and lapse behaviors and classifies each identified customer for either priority call-back or subordinate call-back treatment. Priority call-back classification may result in assignment to a priority call-back queue, assignment to a priority call-back queue position, or call-back by a selected agent.