Oracle International Corporation

Eric Vance

Aaron Johnson

Jack William Hurdelbrink

Kara Mitchell

Thomas Gerard Vinci

Yelena B Feldman

Karen Lee Brown

Paula Dennice Dietz

Denise Tsuru Okuno-Prickett

Ron Bolei

Kara Lea Berlener

Joseph Ellimoottil Joseph

Disclosed are methods and apparatuses for generating simulations on the fly using large historical data and forecast data. To improve system performance, the large historical data are processed in parallel.

Parallel processing historical data

Disclosed are methods and apparatuses for generating sales data reports. One approach is provided for receiving time information, simulation information, and forecast parameters to generate on the fly revenue and profitability reports for past historical data and future forecasts.

Profitability simulator

Embodiments of the invention include a method of implementing fulfillment management. The method includes receiving order information, wherein the order information includes one or more order lines, selecting at least one of the one or more order lines, scoring the one or more selected order lines, and accessing one or more rules assigned to the one or more order lines. The method further includes based on the assigned rules, defining a priority rank of each of the one or more selected order lines, specifying fulfillment of inventory based on the priority and scoring of each of the selected one or more order lines, and assigning inventory based on the specified fulfillment.

Methods and systems for implementing fulfillment management

Various arrangements for processing data sets using multiple processors are presented. A plurality of constraints may be received by a computer system. Each constraint may identify a data relationship that requires a subset of records of one or more data sets to be processed by a same processing device. A plurality of final constraints may be calculated. Each final constraint of the plurality of final constraints may be linked with a record. Each final constraint of the plurality of final constraints may be at least partially based on the plurality of constraints. Final constraints of the plurality of final constraints having a same value may be linked with records that are to be processed by the same processing device. At least partially based on the final constraint, the set of records may be distributed to a plurality of processing devices for processing.

Multiprocessing of data sets

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Aurora, CO, United States of America

Eric Vance