SYSTEM AND METHODS FOR CALIBRATING PRICING POWER AND RISK SCORES

• US 20090259523A1
• Filed: 03/23/2009
• Published: 10/15/2009
• Est. Priority Date: 05/02/2006
• Status: Active Grant

• Current Assignee: Vendavo, Inc.
• Original Assignee: Vendavo, Inc.
• Inventors: Callioni, Gianpaolo, Gorlov, Vlad, Rapperport, Jamie, Mehra, Amit, Ross Gray, Allan David, Geraghty, Sean, Johnson, Jeffrey D.
• Granted Patent: US 8,301,487 B2
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: Y02P 90/82 Energy audits or management systems therefor

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. The calibrators may also perform a drill down to explain the gap between the qualitative scores and the consolidated scores.

Claims

1. A method for calibrating power and risk scores, useful in association with an integrated price management system, the method comprising:

receiving a quantitative power score and a quantitative risk score for each of at least one quantitative segment;

receiving a qualitative power score and a qualitative risk score for each of at least one qualitative segment, wherein the at least one qualitative segment is defined by a user, and wherein the user determines the qualitative power score and the qualitative risk score for each of the at least one qualitative segment;

generating at least one consolidated segment by aggregating some of the at least one quantitative segments, wherein the at least one consolidated segment is analogous to the at least one qualitative segment;

generating a consolidated power score and a consolidated risk score for each of the at least one consolidated segment, wherein the consolidated power score and the consolidated risk score is generated by aggregating the quantitative power score and the quantitative risk score for each of the at least one quantitative segment used to generate each of the at least one consolidated segment;

reconciling gaps between the qualitative power score and the qualitative risk score for each of at least one qualitative segment with the consolidated power score and the consolidated risk score for each of the at least one consolidated segment, wherein the reconciliation generates adjustment factors; and

applying the adjustment factors to the quantitative power score and the quantitative risk score for each of the at least one quantitative segment to generate calibrated power and risk scores for each of the at least one quantitative segment.

2. The method as recited in claim 1, wherein the quantitative power score and the quantitative risk score for each of at least one quantitative segment are generated.

3. The method as recited in claim 2, wherein the generating the quantitative power score and the quantitative risk score includes:

identifying at least one pricing power factor;

identifying at least one pricing risk factor;

assigning a raw pricing power score for each of the at least one pricing power factor for each of the at least one quantitative segment;

assigning a raw pricing risk score for each of the at least one pricing risk factor for each of the at least one quantitative segment;

generating a pricing power weight for each of the raw pricing power score for each of the at least one pricing power factor for each of the at least one quantitative segment;

generating a pricing risk weight for each of the raw pricing risk score for each of the at least one pricing risk factor for each of the at least one quantitative segment;

generating the quantitative pricing power score for each of the at least one quantitative segment by computing a weighted average of the raw pricing power score for each at least one pricing power factor using the generated pricing power weight for each of the raw pricing power score for each of the at least one pricing power factor; and

generating the quantitative pricing risk score for each of the at least one quantitative segment by computing a weighted average of the raw pricing risk score for each at least one pricing risk factor using the generated pricing risk weight for each of the raw pricing risk score for each of the at least one pricing risk factor.

4. The method as recited in claim 1, further comprising generating a segment map for aggregating the at least one quantitative segment by comparing the at least one quantitative segment to the at least one qualitative segment.

5. The method as recited in claim 1, further comprising drilling down into the qualitative power score and the qualitative risk score, wherein the drilling down generates data explaining the gap between the qualitative power score and the consolidated power score, and the gap between the qualitative risk score and the consolidated risk score.

6. The method as recited in claim 5, further comprising modifying at least one of the qualitative power score and the qualitative risk score in response to the drill down data.

7. The method as recited in claim 5, further comprising overriding at least one of the quantitative power score and the quantitative risk score in response to the drill down data.

8. The method as recited in claim 5, further comprising tuning at least one of the quantitative power score and the quantitative risk score in response to the drill down data, and rerunning the power and risk score calibration.

9. The method as recited in claim 1, wherein the applying the adjustment factors to the quantitative power score and the quantitative risk score includes a non linear adjustment.

10. The method as recited in claim 1, further comprising outputting the calibrated power and risk scores to a segment price setter.

11. A power and risk score calibrator, useful in association with an integrated price management system, the power and risk score calibrator comprising:

a segment pricing power reconciler configured to receive a quantitative power score for each of at least one quantitative segment, receive a qualitative power score for each of at least one qualitative segment, wherein the at least one qualitative segment is defined by a user, and wherein the user determines the qualitative power score for each of the at least one qualitative segment;

a segment pricing risk reconciler configured to receive a quantitative risk score for each of the at least one quantitative segment, receive a qualitative risk score for each of the at least one qualitative segment, wherein the at least one qualitative segment is defined by the user, and wherein the user determines the qualitative power score for each of the at least one qualitative segment;

a segment cartographer configured to generate at least one consolidated segment by aggregating some of the at least one quantitative segments, wherein the at least one consolidated segment is analogous to the at least one qualitative segment;

a segment power aggregator configured to generate a consolidated power score for each of the at least one consolidated segment, wherein the consolidated power score is generated by aggregating the quantitative power score for each of the at least one quantitative segment used to generate each of the at least one consolidated segment;

a pricing power value comparer configured to reconcile gaps between the qualitative power score for each of at least one qualitative segment with the consolidated power score for each of the at least one consolidated segment, wherein the reconciliation generates power adjustment factors;

a pricing power value calibrator configured to apply the power adjustment factors to the quantitative power score for each of the at least one quantitative segment to generate calibrated power scores for each of the at least one quantitative segment;

a segment risk aggregator configured to generate a consolidated risk score for each of the at least one consolidated segment, wherein the consolidated risk score is generated by aggregating the quantitative risk score for each of the at least one quantitative segment used to generate each of the at least one consolidated segment;

a pricing risk value comparer configured to reconcile gaps between the qualitative risk score for each of the at least one qualitative segment with the consolidated risk score for each of the at least one consolidated segment, wherein the reconciliation generates risk adjustment factors; and

a pricing risk value calibrator configured to apply the risk adjustment factors to the quantitative risk score for each of the at least one quantitative segment to generate calibrated risk scores for each of the at least one quantitative segment.

12. The power and risk score calibrator of claim 11, further comprising a quantitative pricing power and pricing risk score generator configured to generate the quantitative power score and the quantitative risk score for each of at least one quantitative segment.

13. The power and risk score calibrator of claim 12, wherein the quantitative pricing power and pricing risk score generator includes:

a segment pricing power analyzer configured to identify at least one pricing power factor, assign a raw pricing power score for each of the at least one pricing power factor for each of the at least one quantitative segment, generate a pricing power weight for each of the raw pricing power score for each of the at least one pricing power factor for each of the at least one quantitative segment, and generate the quantitative pricing power score for each of the at least one quantitative segment by computing a weighted average of the raw pricing power score for each at least one pricing power factor using the generated pricing power weight for each of the raw pricing power score for each of the at least one pricing power factor; and

a segment pricing risk analyzer configured to identify at least one pricing risk factor, assign a raw pricing risk score for each of the at least one pricing risk factor for each of the at least one quantitative segment, generate a pricing risk weight for each of the raw pricing risk score for each of the at least one pricing risk factor for each of the at least one quantitative segment, and generate the quantitative pricing risk score for each of the at least one quantitative segment by computing a weighted average of the raw pricing risk score for each at least one pricing risk factor using the generated pricing risk weight for each of the raw pricing risk score for each of the at least one pricing risk factor.

14. The power and risk score calibrator of claim 11, wherein the segment cartographer is further configured to generate a segment map for aggregating the at least one quantitative segment by comparing the at least one quantitative segment to the at least one qualitative segment.

15. The power and risk score calibrator of claim 11, wherein the pricing power value calibrator is further configured to drill down into the qualitative power score, wherein the drill down generates data explaining the gap between the qualitative power score and the consolidated power score, and wherein the pricing risk value calibrator is further configured to drill down into the qualitative risk score, wherein the drill down generates data explaining the gap between the qualitative risk score and the consolidated risk score.

16. The power and risk score calibrator of claim 15, wherein the pricing power value calibrator is further configured to modify the qualitative power score in response to the drill down data, and the pricing risk value calibrator is further configured to modify the qualitative risk score in response to the drill down data.

17. The power and risk score calibrator of claim 15, wherein the pricing power value calibrator is further configured to override the quantitative power score in response to the drill down data, and the pricing risk value calibrator is further configured to override the quantitative risk score in response to the drill down data.

18. The power and risk score calibrator of claim 15, wherein the pricing power value calibrator is further configured to tune the quantitative power score in response to the drill down data, and the pricing risk value calibrator is further configured to tune the quantitative risk score in response to the drill down data, and wherein the power and risk score calibrator is configured to rerun the power and risk score calibration.

19. The power and risk score calibrator of claim 11, wherein the pricing power value calibrator and the pricing risk value calibrator are configured to apply the adjustment factors to the quantitative power score and the quantitative risk score as a non linear adjustment.

20. The power and risk score calibrator of claim 11, further comprising a reconciled data outputter configured to output the calibrated power and risk scores to a segment price setter.