Abstract: The present invention relates to systems and methods for calculating a segment's sensitivity to price changes. A histogram distribution is generated for transaction frequency by price as the initial part of the sensitivity analysis. The shape of this histogram may be used to extrapolate a sensitivity measure. This can be done in two distinct ways: statistical regression or slope approximation. For statistical regression, the inverse of the cumulative distribution function is first calculated. The slope of this function is determined to be the sensitivity; the steeper the curve the more sensitive the segment is to price changes. The second technique approximates the slope of the right hand side of the histogram in order to determine sensitivity.

Abstract: A power and risk score calibrator is provided, which receives quantitative power and risk scores for each quantitative segment, and receives qualitative power and risk scores for each qualitative segment. The qualitative segment and the qualitative power and risk scores are defined by a user. The system generates consolidated segments. Then consolidated power and risk scores for each of the consolidated segments are generated, respectively. The gaps between the qualitative power and risk scores and the consolidated power and risk scores are reconciled. From these reconciliations, adjustment factors are generated, which are applied by pricing power and risk value calibrators. The system may also perform a drill down to explain the gap between the qualitative scores and the consolidated scores.

Abstract: The present invention relates to a quantitative pricing power and pricing risk score generator and methods therefore, useful in association with an integrated price management system. Such a system may include a segment generator, a segment pricing power analyzer, and a segment pricing risk analyzer. The segment generator may receive or generate segments associated with a customer. Segment generation uses transaction level data which includes product attribute information, market data, and transaction history data. The segment pricing power analyzer and risk analyzer identify pricing power and risk factors, and assign raw scores to each factor, generates a weight for each raw score for each of the pricing power factors, and generates the quantitative pricing power and risk scores for each segment by computing a weighted average of the factors using the generated weights for each of the raw scores. Weights may be assigned according to default values or may be generated via an optimization.

Abstract: The present invention relates to a power and risk score calibrator which includes segment pricing power and risk reconcilers, a segment cartographer, segment power and risk aggregators, pricing power and risk value comparers, and pricing power and risk value calibrators. The reconcilers receive quantitative power and risk scores for each quantitative segment, and receive qualitative power and risk scores for each qualitative segment. The qualitative segment and the qualitative power and risk scores are defined by a user. The cartographer generates consolidated segments. The aggregators may then generate consolidated power and risk scores for each of the consolidated segments, respectively. The comparers then reconcile gaps between the qualitative power and risk scores and the consolidated power and risk scores. From these reconciliations adjustment factors are generated, which are applied by pricing power and risk value calibrators.