Abstract: Methods and systems for selecting a forecasting algorithm to use for a forecast for a time interval are provided. A class is a series of time intervals that is selected by an entity from time series data that relates to external data or is a series of time intervals from the time series data that corresponds to a motif. The time series data is processed by a computer to identify motifs, and classes are generated based on each identified motif. A user may further identify one or more classes in the time series data. For each class, the forecasting algorithm that best predicts the historical demand data for time intervals associated with the class is determined. Later, when the entity desires to receive a forecast for a future time interval, the class associated with the future time interval is determined. The forecasting algorithm determined to best predict demand for the determined class is then used.

Abstract: The present disclosure describes methods and systems for selecting the forecasting algorithm to use for a prediction based on motifs. A motif is a pattern of interval values that is found to repeat in time series data. Time series data that includes historical demand data (e.g., average communication volume) for an entity at various time intervals in the past is received. The time series data is processed to identify motifs. For each identified motif, the forecasting algorithm that best predicts the historical demand data for time intervals associated with the motif is determined. Later, when the entity desires to receive a forecast for a future time interval, the motif associated with the future time interval is determined. The forecasting algorithm determined to best predict demand for the determined motif is then used to predict the demand for the future time interval.

Abstract: In an entity such as a call center, back office, or retail operation, external event data is recorded along with call volume information for a plurality of time intervals. Based on the recorded event data and call volume for the plurality of intervals, a model is trained to predict call (or other communication) volume for a specified time interval using the external event data. The external event data may include data about one or more events that may affect the demand received by the entity. When the predicted call volume is significantly above or below what would be predicted for the entity using historical data alone, an indicator may be displayed to a user or administrator that identifies the external event that is responsible for the lower or higher prediction. The call volume prediction may be used to schedule one or more agents (or other employees) to work during the specified time interval.

Abstract: System and method for calibration of WFM system modeling parameters. A first mode M[D,S] of a modeler computes demand-shrinkage controlled service levels and an error metric e(M[D,S]) between the controlled and actual service levels. A user device iteratively adjusts each core parameter. When the user is satisfied that e(M[D,S]) is sufficiently small, calibration of the core parameters is complete. The same is done for calibrating the modeling factor, and then a final e(M[D,S])f is computed. A second mode M[D] computes, using the parameters just calibrated, demand-controlled service levels and an error metric e(M[D]) between the controlled service levels and actual levels. The user iteratively adjusts the shrinkage. When the user is satisfied that e(M[D]) is sufficiently small, calibration of the core parameters is complete.

Abstract: A method for real-time invoice updating and account-to-account payment includes: receiving invoice data based on presentation of an invoice by a distributor to a recipient at a delivery location, modification of the invoice by the recipient, and acceptance of the invoice by the recipient; generating a request for payment (RFP) message based on the invoice data; transmitting the RFP message to a financial institution associated with the recipient via a financial institution of the distributor; receiving, from the financial institution associated with the distributor, a payment confirmation for the invoice based on a real-time payment from the financial institution associated with the recipient; generating reconciliation data based on the payment confirmation and the invoice data; and transmitting the reconciliation data to a computing device of the distributor and a computing device of the recipient.

Abstract: A method for real-time invoice updating and account-to-account payment includes: receiving invoice data based on presentation of an invoice by a distributor to a recipient at a delivery location, modification of the invoice by the recipient, and acceptance of the invoice by the recipient; generating a request for payment (RFP) message based on the invoice data; transmitting the RFP message to a financial institution associated with the recipient via a financial institution of the distributor; receiving, from the financial institution associated with the distributor, a payment confirmation for the invoice based on a real-time payment from the financial institution associated with the recipient; generating reconciliation data based on the payment confirmation and the invoice data; and transmitting the reconciliation data to a computing device of the distributor and a computing device of the recipient.

Abstract: System and method for calibration of WFM system modeling parameters. A first mode M[D,S] of a modeler computes demand-shrinkage controlled service levels and an error metric e(M[D,S]) between the controlled and actual service levels. A user device iteratively adjusts each core parameter. When the user is satisfied that e(M[D,S]) is sufficiently small, calibration of the core parameters is complete. The same is done for calibrating the modeling factor, and then a final e(M[D,S])f is computed. A second mode M[D] computes, using the parameters just calibrated, demand-controlled service levels and an error metric e(M[D]) between the controlled service levels and actual levels. The user iteratively adjusts the shrinkage. When the user is satisfied that e(M[D]) is sufficiently small, calibration of the core parameters is complete.

Abstract: In an entity such as a call center, back office, or retail operation, external event data is recorded along with call volume information for a plurality of time intervals. Based on the recorded event data and call volume for the plurality of intervals, a model is trained to predict call (or other communication) volume for a specified time interval using the external event data. The external event data may include data about one or more events that may affect the demand received by the entity. When the predicted call volume is significantly above or below what would be predicted for the entity using historical data alone, an indicator may be displayed to a user or administrator that identifies the external event that is responsible for the lower or higher prediction. The call volume prediction may be used to schedule one or more agents (or other employees) to work during the specified time interval.

Abstract: A rechargeable lithium-ion cell has a cell capacity and includes a positive electrode having a recharged potential and a negative electrode. The rechargeable lithium-ion cell also includes a charge-carrying electrolyte. The charge-carrying electrolyte includes a charge-carrying medium and a lithium salt. The rechargeable lithium-ion cell also includes a redox shuttle having the following structure Formula (I).

Abstract: A method for real-time invoice updating and account-to-account payment includes: receiving invoice data based on presentation of an invoice by a distributor to a recipient at a delivery location, modification of the invoice by the recipient, and acceptance of the invoice by the recipient; generating a request for payment (RFP) message based on the invoice data; transmitting the RFP message to a financial institution associated with the recipient via a financial institution of the distributor; receiving, from the financial institution associated with the distributor, a payment confirmation for the invoice based on a real-time payment from the financial institution associated with the recipient; generating reconciliation data based on the payment confirmation and the invoice data; and transmitting the reconciliation data to a computing device of the distributor and a computing device of the recipient.

Abstract: A rechargeable lithium-ion cell has a cell capacity and includes a positive electrode having a recharged potential and a negative electrode. the rechargeable lithium-ion cell also includes a charge-carrying electrolyte. The charge-carrying electrolyte includes a charge-carrying medium and a lithium salt.

Abstract: A rechargeable lithium-ion cell has a cell capacity and includes a positive electrode having a recharged potential and a negative electrode. The rechargeable lithium-ion cell also includes a charge-carrying electrolyte. The charge-carrying electrolyte includes a charge-carrying medium and a lithium salt. The rechargeable lithium-ion cell also includes a redox shuttle having the following structure.

Abstract: A rechargeable lithium-ion cell has a cell capacity and includes a positive electrode having a recharged potential and a negative electrode. The rechargeable lithium-ion cell also includes a charge-carrying electrolyte. The charge-carrying electrolyte includes a charge-carrying medium and a lithium salt. The rechargeable lithium-ion cell also includes a redox shuttle having the following structure.

Abstract: A rechargeable lithium-ion cell has a cell capacity and includes a positive electrode having a recharged potential and a negative electrode. The rechargeable lithium-ion cell also includes a charge-carrying electrolyte. The charge-carrying electrolyte includes a charge-carrying medium and a lithium salt. The rechargeable lithium-ion cell also includes a redox shuttle having the following structure.