Xerox Corporation

Yasin Alan

John C Handley

Jeffrey R Earl

An inventory management system for forecasting demand in a print production environment may include a computing device and a computer-readable storage medium in communication with the computing device. The computer-readable storage medium may include programming instructions for updating a predictive model with intervention information comprising an anticipated demand value and a confidence value associated with the anticipated demand value. The predictive model may be associated with a demand distribution of a print-related service. The computer-readable storage medium may include programming instructions for generating a demand forecast associated with the print-related service by using the updated predictive model, using the generated demand forecast to compare a current inventory level associated with the print-related service to an anticipated inventory level associated with the demand forecast of the print-related service, and ordering additional inventory in response to the current inventory level being less than the anticipated inventory level.

Inventory management system in a print-production environment

A managed print system for analyzing performance of a print device may include a computing device and a computer-readable storage medium in communication with the computing device. The computer-readable storage medium may include one or more programming instructions for receiving a black and white print volume variable associated with a print device, receiving a color print volume variable associated with the print device, determining a black and white cost variable associated with the black and white print volume variable and determining a color cost variable associated with the color print volume variable, determining a standard relationship, determining an empirical relationship, determining, based on the empirical relationship, whether the print device has a poor fit to the standard relationship, and in response to the print device having a poor fit to the standard relationship, determining which of the variables influenced the poor fit.

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Ithaca, NY, United States of America

Yasin Alan