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Product role analysis

  • US 9,773,250 B2
  • Filed: 05/04/2010
  • Issued: 09/26/2017
  • Est. Priority Date: 12/20/2000
  • Status: Active Grant
First Claim
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1. A computer implemented method for analyzing product roles, useful in conjunction with a pricing optimization system, the method comprising:

  • receiving volume data for a plurality of products, wherein the volume data is sales volume for each product of the plurality of products over a given timeframe, and further wherein each product of the plurality of products is assigned to one of a plurality of product categories;

    receiving elasticity values for the plurality of products;

    comparing the elasticity value and the volume data for each product;

    generating a role analysis, by a processor, for each product of the plurality of products utilizing the comparison of the elasticity value and the volume data, wherein the generating a role analysis includes calculating an image value for each product by applying at least one constant value to a combination of the elasticity value for said product divided by an average elasticity value for the product category corresponding to said product, and the volume of the product divided by an average volume for the product category corresponding to said product, and identifying at least one key value item of the plurality of products based upon the image value; and

    generating, by a processor, a markdown plan including a set of prices, promotions and schedules based on the image values and demand coefficients, wherein generating the markdown plan includes;

    monitoring processing of the processor generating the markdown plan to detect increased processing requirements; and

    controlling processing time of the processor generating the markdown plan in response to detection of increased processing requirements by selectively adjusting performance of operations to produce the demand coefficients with a lesser degree of accuracy based on a quantity of products being processed to reduce the processing requirements, wherein the increased processing requirements generate the demand coefficients with more accuracy than the reduced processing requirements.

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