Xerox Corporation

Jeffrey R Earl

John C Handley

Eugene Stephen Evanitsky

Lawrence W Meyer

Michael H Wang

M Kerrigan Hawes

Michael Burkard

Daniel J Stark

Steven T Schlonski

Yasin Alan

Michael G Leccarde

Disclosed is a method and system for delivering device specific service information to a mobile platform. According to an exemplary system, a mobile phone and a Device Assist Server are operatively connected to prompt a user to capture relevant device information using a camera associated with the mobile phone. A remote Device Assist Server processes this device information and provides service related information to the user via the mobile phone.

Method and system for delivering device specific service documentation to a mobile platform

In accordance with aspects of the present disclosure, a method is described that includes establishing a wireless communication link between a mobile device and a document processing device; transmitting, by a transmitter of the document processing device, data stored in a memory of the document processing device related to the functionality of the document processing device to the mobile device; and receiving, by a receiver of the document processing device, data to control a functionality of the document processing device from the mobile device.

Device data collection using bluetooth

Methods and systems for identifying device models or accounts exhibiting outlying behavior are disclosed. For a method of identifying a device model exhibiting outlying behavior, a processor may receive a color impression count, a monochrome impression count and either a device model for each of a plurality of devices. A proportion of color revenue may be determined for each device based on the color impression count and the monochrome impression count. The processor may determine, for each device model, a distribution of the proportion of color revenue for the one or more devices having the device model and may automatically identify one or more distributions of the proportion of color revenue exhibiting outlying behavior. Each distribution is associated with a device model.

Systems and methods to detect models and accounts with anomalous revenue from color impressions

Methods and systems for determining print revenue behavior for an account are disclosed. A computing device may determine a print revenue for an account for each of a plurality of time periods. The computing device may select a best fit model from a plurality of models based on the print revenue for the account for the plurality of time periods. The computing device may determine a risk level associated with the account based on a best fit model. The risk level may be based on a difference between the best fit model and the print revenue for the account for each of time period.

Systems and methods for determining print revenue behavior

A system for detecting suspect meter reads in a print 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 one or more programming instructions for receiving historical meter read values associated with a print-related service, selecting a model set including one or more of the historical meter read values, using a predictive model to determine an anticipated meter read value and a corresponding forecast error value from the model set, determining an updated forecast error value, determining a threshold value, identifying an actual meter read value, determining an average rate associated with the actual meter read value, and flagging the actual meter read value as suspect based on a comparison of the average rate and the threshold value.

Systems and methods for detecting suspect meter reads in a print environment

Methods and systems for identifying devices having a specified utilization are disclosed. A selected minimum utilization and maximum utilization defining a utilization band may be received. Device information for each of a plurality of accounts, including a device model and utilization information for each device associated with an account, may also be received. A utilization may be determined for each device based on the utilization information. For each device model in an account, a number of devices in an account having the device model and a utilization in the utilization band may be determined. A plurality of clusters may be identified for device model-account pairs, and at least one device model-account pair may be assigned to a cluster.

Method and system to associate device models and accounts by utilization bands

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.

Systems and methods for analyzing performance of a print device in a managed print service

In a network comprising printers and print servers which retain queues of print jobs, a user is able to survey and view selected portions of the network, either by enumerating printers to be queried directly, or by enumerating servers. By providing substantially simultaneous 'views' of printers and queues in servers, problems within a large network can be readily isolated.

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Pittsford, NY, United States of America

Jeffrey R Earl