ADAM NATHAN ROSENBERG
Pilots at Pleasant Run, Scottsdale, AZ

8117061, Feb 14, 2012

Jul 2, 2009

12/496884

Brent May - Scottsdale AZ, US
Yetkin Ileri - Scottsdale AZ, US
Jeffrey D. Moore - Phoenix AZ, US
Adam Rosenberg - Scottsdale AZ, US

SAP AG - Walldorf

G06Q 30/00

705 731, 705 728, 705 729, 705 737, 705 725, 705400

A method for transforming transactional data into a forecast and confidence interval for controlling a commerce system involves moving goods between members of a commerce system, and recording transaction data related to movement of goods between the members of the commerce system. The transaction data includes price, product, time, and promotion. The model parameters are estimated based on the transactional data using a demand model to generate a forecast of demand for the goods based on a proposed price or promotion. A confidence interval of the certainty associated with the forecast of demand for the goods is determined based on the proposed price or promotion. The forecast of demand for the goods and confidence interval is provided to the commerce system to control the movement of goods based on the forecast of demand for the goods and confidence interval. The forecast and confidence interval can be graphically displayed.

2013032, Dec 5, 2013

Jun 5, 2013

13/911021

Adam N. Rosenberg - Scottsdale AZ, US

G06Q 30/02

705 731

The disclosed technology improves the process of generating recommended prices for retail products. First, the present technology makes it possible to model shopper demand when sales data includes time periods with zero unit sales without hypothesizing whether the time periods are out-of-stock events or zero sales. This can be accomplished by applying a truncated Poisson distribution and the Newton-Raphson method to the non-zero unit sales to generate a coefficient vector that maximizes the likelihood of the observations in the sales data. Second, the present technology can be used to generate recommended prices for a group of products that optimize revenue and profit while limiting the number of products that require price changes to a predefined threshold value. This can be accomplished by iteratively replacing a current best value solution with a next best value solution across a collection of product networks until an acceptable number of unchanged prices is achieved.

2013032, Dec 5, 2013

Jun 5, 2013

13/911028

Adam N. Rosenberg - Scottsdale AZ, US

G06Q 30/02

705 735

The disclosed technology improves the process of generating recommended prices for retail products. First, the present technology makes it possible to model shopper demand when sales data includes time periods with zero unit sales without hypothesizing whether the time periods are out-of-stock events or zero sales. This can be accomplished by applying a truncated Poisson distribution and the Newton-Raphson method to the non-zero unit sales to generate a coefficient vector that maximizes the likelihood of the observations in the sales data. Second, the present technology can be used to generate recommended prices for a group of products that optimize revenue and profit while limiting the number of products that require price changes to a predefined threshold value. This can be accomplished by iteratively replacing a current best value solution with a next best value solution across a collection of product networks until an acceptable number of unchanged prices is achieved.

7912748, Mar 22, 2011

Jun 1, 2006

11/421529

Adam N. Rosenberg - Scottsdale AZ, US
Jeffrey D. Moore - Scottsdale AZ, US

SAP AG - Walldorf

G06Q 99/00

705 10, 705 11, 705 735, 705 1435, 705400

Markdown optimization may be performed using a computer system. Markdown objectives may include margin maximization or inventor minimization. Markdown schedule optimization uses an efficient, iterative, targeted combinatorial search. First, permissible discount steps are identified, then for each permissible discount step, a subspace of permissible step dates is identified. Elements from the date step subspace and price reduction subspace are combined and evaluated against the markdown objectives. If an improved markdown schedule is located, a new subspace of permissible step dates is defined to search the subregion of the solution space where the improved markdown optimization schedule was identified. Scheduling of inventory allocation from a distribution center is also disclosed.

8082175, Dec 20, 2011

Aug 24, 2006

11/509344

Adam N. Rosenberg - Scottsdale AZ, US
James A. Sills - Scottsdale AZ, US

SAP AG - Walldorf

G06F 9/44

705 1443, 705 1448

A method () and system () for providing a promotion plan () for merchandising products () receives base data () for the products () that includes allowable offers () and price rules () that affect the offers (). A margin budget () is established for the promotion plan () that defines an amount of margin an enterprise is willing to forgo for a promotion event implementing the promotion plan (). A scenario () is generated in response to the base data (). The scenario () is optimized to obtain decisions () for the promotion plan () that are constrained by the margin budget (). The promotion plan (), indicating the obtained decisions (), is presented for implementation by the enterprise during the promotion event. The obtained decisions () include a list of the products (), each of which is associated with one offer () and one price rule ().