Abstract: Systems and methods of automated personalized guidance include the evaluation of interaction content data. At least one automated guidance is assigned to an agent based upon the evaluation. The automated guidance is defined by at least one interaction type and at least one guidance trigger. Interaction content data is monitored to identify instances of the interaction type and the guidance trigger. Upon identification of the interaction type and the guidance trigger, the automated guidance is automatically provided. The automated guidance is then evaluated based upon the interaction content data.

Abstract: Dynamic pattern transfer printing systems and method are provided, which decouple the design of the trench patterns on a source substrate for pattern transfer printing, from the resulting metallic paste lines patterns transferred to a receiving substrate, such as PV cells. The receiving substrate may be moved forward (along the scanning direction of the laser illumination used to transfer the paste from the trenches onto the receiving substrate) to reduce the pattern pitch with respect to the source substrate, and/or the receiving substrate may be moved backward (against the scanning direction) to increase the pattern pitch with respect to the source substrate. For example, dynamic pattern transfer printing may be used to accommodate different widths of the substrates for more effective pattern transfer, and/or to enable one-to-many pattern transfer technologies with high wafer throughput. Also, pattern transfer sheet with separate multiple groups of trenches are provided.

Abstract: Systems and methods of automated personalized guidance include the evaluation of interaction content data. At least one automated guidance is assigned to an agent based upon the evaluation. The automated guidance is defined by at least one interaction type and at least one guidance trigger. Interaction content data is monitored to identify instances of the interaction type and the guidance trigger. Upon identification of the interaction type and the guidance trigger, the automated guidance is automatically provided. The automated guidance is then evaluated based upon the interaction content data.

Abstract: Systems and methods of automated personalized guidance include the evaluation of interaction content data. At least one automated guidance is assigned to an agent based upon the evaluation. The automated guidance is defined by at least one interaction type and at least one guidance trigger. Interaction content data is monitored to identify instances of the interaction type and the guidance trigger. Upon identification of the interaction type and the guidance trigger, the automated guidance is automatedly provided. The automated guidance is then evaluated based upon the interaction content data.

Abstract: A method of evaluating scripts in an interpersonal communication includes monitoring a customer service interaction. At least one portion of a script is identified. At least one script requirement is determined. A determination is made whether the at least one portion of the script meets the at least one script requirement. An alert is generated indicative of a non-compliant script.

Abstract: A method of evaluating scripts in an interpersonal communication includes monitoring a customer service interaction. At least one portion of a script is identified. At least one script requirement is determined. A determination is made whether the at least one portion of the script meets the at least one script requirement. An alert is generated indicative of a non-compliant script.

Abstract: A method of evaluating scripts in an interpersonal communication includes monitoring a customer service interaction. At least one portion of a script is identified. At least one script requirement is determined. A determination is made whether the at least one portion of the script meets the at least one script requirement. An alert is generated indicative of a non-compliant script.

Abstract: A method of evaluating scripts in an interpersonal communication includes monitoring a customer service interaction. At least one portion of a script is identified. At least one script requirement is determined. A determination is made whether the at least one portion of the script meets the at least one script requirement. An alert is generated indicative of a non-compliant script.

Abstract: Systems and methods of predictive modeling of customer interaction content data include the collection of customer interaction content data. The collected customer interaction content data is analyzed to create structured data. At least one predictive analysis algorithm is applied to the restored data. At least one prediction of an outcome is produced based upon the application of the predictive analysis algorithm. At least one automated response is generated to the at least one prediction.

Abstract: Systems and methods of automated personalized guidance include the evaluation of interaction content data. At least one automated guidance is assigned to an agent based upon the evaluation. The automated guidance is defined by at least one interaction type and at least one guidance trigger. Interaction content data is monitored to identify instances of the interaction type and the guidance trigger. Upon identification of the interaction type and the guidance trigger, the automated guidance is automatedly provided. The automated guidance is then evaluated based upon the interaction content data.