Abstract: A method for providing interface to an apparatus for optimizing a promotion plan for merchandising products, including utilizing a computer-based scenario/results processor within an optimization server to present a sequence of data entry templates to a user, whereby the user specifies an optimization scenario, the optimization server optimizing the promotion plan according to modeled market for the products and calculated demand chain costs for the products, where the calculated demand chain costs include fixed and variable costs for the products; and generating a plurality of optimization results templates and proving these templates to the user, wherein optimum promotion events and optimum supplier offers are presented.

Abstract: A technique for determining optimum prices of products. The apparatus includes a scenario/results processor, a demand engine, an activity based cost engine, and a price optimization engine. The scenario/results processor enables a user to prescribe an optimization scenario, and presents the optimum prices to the user, where the optimum prices are determined by execution of the optimization scenario. The demand engine models relationships between potential prices of the products and market demand for the products. The activity based cost engine estimates costs for the products based upon market demand. The price optimization engine employs the market demand and the demand chain costs to determine the optimum prices, where the optimum prices are a subset of the potential prices, and where the optimum prices maximize a merchandising performance figure of merit according to the optimization scenario.

Abstract: Disclosed are methods, media and systems for generating imputing econometric variables from raw econometric data. A method for generating cleansed initial dataset from corrected raw econometric data comprises inputting raw econometric data, formatting and classifying the raw econometric, conducting an initial error detection and correction, defining a store data set hierarchy, conducting a second error detection and correction, defining product attributes and demand groups, updating attribute information, defining equivalizing factors, conducting a third error detection and correction, subsetting data to facilitate increased processing speeds, conducting a fourth error detection and correction and outputting the cleansed initial dataset.

Abstract: An apparatus and method are provided for determining an optimum promotion plan for merchandising of products for sale. The apparatus includes a scenario/results processor that enables a user to prescribe an optimization scenario, and that presents the optimum promotion plan to the user, where the optimum promotion plan is determined by execution of the optimization scenario, and where the optimum promotion plan is determined based upon estimated product demand and calculated activity based costs. The scenario/results processor has an input/output processor and a scenario controller. The input/output processor acquires data corresponding to the optimization scenario from the user, and distributes optimization results to the user. The scenario controller is coupled to the input/output processor. The scenario controller controls the acquisition of the data and the distribution of the optimization results in accordance with a promotion plan optimization procedure.

Abstract: An apparatus and method are provided for an interface enabling a user to determine optimum prices of products for sale. The interface includes a scenario/results processor that enables the user to prescribe an optimization scenario, and that presents the optimum prices to the user. The optimum prices are determined by execution of the optimization scenario, where the optimum prices are determined based upon estimated product demand and calculated activity based costs. The scenario/results processor has an input/output processor and a scenario controller. The input/output processor acquires data corresponding to the optimization scenario from the user, and distributes optimization results to the user. The scenario controller is coupled to the input/output processor. The scenario controller controls acquisition of the data and the distribution of the optimization results in accordance with a price optimization procedure.

Abstract: An apparatus and method are provided for an interface enabling a user to determine optimum prices of products for sale. The interface includes a scenario/results processor that enables the user to prescribe an optimization scenario, and that presents the optimum prices to the user. The optimum prices are determined by execution of the optimization scenario, where the optimum prices are determined based upon estimated product demand and calculated activity based costs. The scenario/results processor has an input/output processor and a scenario controller. The input/output processor acquires data corresponding to the optimization scenario from the user, and distributes optimization results to the user. The scenario controller is coupled to the input/output processor. The scenario controller controls acquisition of the data and the distribution of the optimization results in accordance with a price optimization procedure.

Abstract: An apparatus and method are provided for an interface enabling a user to determine optimum prices of products for sale. The interface includes a scenario/results processor that enables the user to prescribe an optimization scenario, and that presents the optimum prices to the user. The optimum prices are determined by execution of the optimization scenario, where the optimum prices are determined based upon estimated product demand and calculated activity based costs. The scenario/results processor has an input/output processor and a scenario controller. The input/output processor acquires data corresponding to the optimization scenario from the user, and distributes optimization results to the user. The scenario controller is coupled to the input/output processor. The scenario controller controls acquisition of the data and the distribution of the optimization results in accordance with a price optimization procedure.