Intellisist, Inc.

Sorse Technology Corporation

Hyperquality, Inc.

Howard M Lee

Gilad Odinak

David Milstein

Steven Lutz

Juan Jorge Ayala

Rodger Scott Riefler

A method for preparing stable liquid emulsion forms of plant extract is provided. A plant extract having a bitter flavor is mixed with diluent oil as an oil mixture and heat is applied to the oil mixture. An emulsifying agent is dispersed in water as an emulsifying solution. The oil mixture is mixed with the emulsifying solution. The mixed oil mixture and emulsifying solution is homogenized as a liquid form of the plant extract. Gluconic acid is added to the liquid form of the plant extract. The bitter flavor of the plant extract is disguised by adding a bitter blocker to the liquid form of the plant extract.

Method for preparing stable liquid emulsion forms of plant extract

A method for preparing stable liquid emulsion forms of plant extract is provided. A plant extract is mixed with a diluent oil as an oil mixture. Heat is applied to the oil mixture until the mixture reaches a threshold viscosity. An emulsifying agent is dispersed in water as an emulsifying solution. The oil mixture and emulsifying solution are mixed together. The mixed oil mixture and emulsifying solution are homogenized as a liquid form of the plant extract.

Method for preparing solid forms of plant extract

A computer-implemented system and method for protecting sensitive information within a call center in real time is provided. A call from a caller is received within a call center. The call is assigned to an agent and a determination is made as to when the caller is to provide sensitive information. The user is transferred to an automated voice response system to which the sensitive information is provided, while maintaining the call with the agent. The caller is returned to the agent upon providing the sensitive information. A notification regarding a status of the sensitive information is sent and the call is terminated.

Computer-implemented system and method for protecting sensitive information within a call center in real time

A system and method for identifying special information within a voice recording is provided. Training to identify a speaker is performed. A voice recording including utterances by at least two speakers is processed to identify segments of the voice recording provided by the speaker. Remaining segments of the voice recording are designated as provided by another speaker. A text element that corresponds to a request for information is identified in at least one of the segments of the voice recording provided by the speaker. A predetermined duration associated with the identified text element is applied to one of the segments of the voice recording of the other speaker occurring immediately after the segment of the voice recording from the regular speaker with the identified text element. The utterances from the other speaker occurring within the predetermined duration are identified as special information and rendered unintelligible.

Computer-implemented system and method for identifying special information within a voice recording

A system and method for user notification regarding detected events is provided. A plurality of messages are accessed from one or more sources. Those of the messages associated with one or more potential events are identified. The potential events are detected based on the messages. At least one of the potential events is identified as an event based on a number of messages associated with that potential event. Metadata regarding the event is extracted by from the messages associated with the event. Information regarding the event is obtained from a third party different from the one or more sources of the monitored messages. A message regarding the event is generated, the generated message comprising the extracted metadata and the information. At least one user associated with the event is identified, wherein the at least one user is notified of the event using the generated message.

System and method for user notification regarding detected events

A system and method for providing customer-specific ongoing call center assistance with the aid of a digital computer are provided. A call is received from a caller in a call center and the caller is connected to an agent of the call center. The speech of at least one of the caller and the agent is monitored during the call. A subject matter of the call is determined based on the monitoring. One or more characteristics of the caller are obtained. The agent is identified as being in need of assistance. Expert selection criteria are obtained and weighed based on one or more of the characteristics of the caller. An expert agent is selected using the weighed expert selection criteria and the subject matter of the call. The selected expert agent is patched into the call.

System and method for providing customer-specific ongoing call center assistance with the aid of a digital computer

A system and method for identifying special information is provided. Endpoints are defined within a voice recording. One or more of the endpoints are identified within the voice recording and the voice recording is partitioned into segments based on the identified endpoints. Elements of text are identified by applying speech recognition to each of the segments and a list of prompt list candidates are applied to the text elements. The segments with text elements that match one or more prompt list candidates are identified. Portions of the voice recording following the prompt list candidates that include special information are identified and the special information is rendered unintelligible within the voice recording.

System and method for identifying special information

A system and method for providing ongoing call center call assistance with the aid of a digital computer is provided. A call is received from a caller by an automatic call distributor in a call center and the caller is connected by the automatic call distributor to an agent of the call center. The agent's speech during the call is monitored by an intervention processor included in the call center. The intervention processor determines speech characteristics of the agent during the call, obtains predetermined speech characteristics for the agent, compares the predetermined speech characteristics to the speech characteristics determined during the call, and detects the agent being in need of assistance based on the comparison. The automatic call distributor determines a subject matter of the call and the intervention processor identifies an expert whose expertise matches the subject matter. The intervention processor patches the expert into the call.

System and method for providing ongoing call center call assistance with the aid of a digital computer

A computer-implemented system and method for detecting events for use in an automated call center environment are provided. A plurality of messages is monitored by a call center. Those messages sharing one or more keywords representative of one or more potential events are identified. The one or more potential events are detected based on the shared keywords. At least one of the potential events is identified as an event based on the number of messages that share the keywords representative of that potential event. Metadata regarding the event is extracted from the messages sharing the keywords representative of the event. A message regarding the event that includes the extracted metadata is generated. The generated message from the call center is provided to at least one user related to the event.

Computer-implemented system and method for detecting events for use in an automated call center environment

A computer-implemented call center architecture and method for optimizing customer experience through in-band expert intervention is provided. Calls conducted between an agent and a caller are monitored. A need for assistance by an expert agent in one such call based on an inquiry by the caller is identified. Expert selection criteria to a predetermined group of expert agents with expertise in subject matter relating to the caller's inquiry is applied. One of the expert agents that matches with the expert selection criteria is selected and a notification to the agent that the selected expert agent will assist with the call is transmitted. The expert agent is then patched into the call.

Computer-implemented call center architecture and method for optimizing customer experience through in-band expert intervention

A computer-implemented system and method for masking special data is provided. Speakers of a call recording are identified. The call recording is separated into strands corresponding to each of the speakers. A prompt list of elements that prompt the speaker of the other strand to utter special information is applied to one of the strands. At least one of the elements of the prompt list is identified in the one strand. A special information candidate is identified in the other strand and is located after a location in time where the element was found in the voice recording of the one strand. A confidence score is assigned to the element located in the one strand and to the special information candidate in the other strand. The confidence scores are combined and a threshold is applied. The special information candidate is rendered unintelligible when the combined confidence scores satisfy the threshold.

Computer-implemented system and method for masking special data

Apparatuses and methods are described to secure information contained within voice recordings. A voice recording is loaded into a data processing system, wherein the voice recording results from an utterance of a human during an interaction between the human and an interface of a business entity. The voice recording is processed to recognize at least one element of text in the voice recording. The data processing system determines if the at least one element of text represents special information that pertains to the human. A segment in the voice recording is rendered unintelligible if the at least one element of text represents special information that pertains to the human.

Selective security masking within recorded speech utilizing speech recognition techniques

A system and method for analyzing agent interactions is provided. An interaction between an agent and a business is provided to analysts. Performance scores for the interaction are received from each of the analysts and compared. A deviation between the performance score is determined. The deviation is compared to a threshold. Further interactions are provided to at least one of the analysts when the deviation falls below the threshold. A further performance score for the interaction is received from the analyst and provided to the agent associated with the interaction.

System and method for analyzing agent interactions

An apparatus includes a plurality of storable representations of interactions between an agent of a business and customers, wherein the business is located in a first geographic area. A storage device in communication with the first geographic area is configured to receive and store the storable representations wherein the storable representations are capable of being analyzed at high frequency for service quality in the second geographic area by an analyst. The second geographic area is subject to a geographic wage attenuator. Report data is generated and fed back to the agent; the report data represents the quality of service rendered by the agent to the customers. An agent can be informed of at least one agent performance element that was well performed and at least one agent performance element that could be performed even better.

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Seattle, WA, United States of America

Howard M Lee