Automated method and system to perform a supply-side evaluation of a transaction request

• US 20040117290A1
• Filed: 12/13/2002
• Published: 06/17/2004
• Est. Priority Date: 12/13/2002
• Status: Abandoned Application

• Current Assignee: Metreo, Inc. (Samsung Electronics Co. Ltd.)
• Original Assignee: Metreo, Inc. (Samsung Electronics Co. Ltd.)
• Inventors: Shacham, Nachum
• Application Number:
  US10/318,428
• Publication Number:
  US 20040117290A1
• Time in Patent Office: Days
• US Class Current: 705/37
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Abstract

A system and automated method operate to evaluate a transaction request. A plurality of objects associated with the transaction request are identified, each of the plurality of objects including a set of the object attributes, each object attribute representing a respective attribute of the transaction request. A set of metric functions, each associated with a respective metric of a plurality of metrics, is applied against the sets of the object attributes to generate an object score for each object. The object scores for each of the plurality of objects are irrigated to generate a request score indicative of an overall evaluation of the transaction request relative to an expectation for the transaction request.

Claims

1. A computer-implemented method to evaluate a transaction request, the method including:

identifying a plurality of objects associated with the transaction request, each of the plurality of objects including a set of the object attributes, each object attribute representing a respective attribute of the transaction request;

applying a set of metric functions, each associated with a respective metric of a plurality of metrics, against the sets of the object attributes to generate an object score for each object; and

aggregating the object scores for the plurality of objects to generate a request score indicative of an overall evaluation of the transaction request relative to an expectation for the transaction request.

2. The method of claim 1 wherein a first metric function of the set of metric functions is a function of at least one object attribute.

3. The method of claim 1 wherein the first metric function of the set of metric functions is a function of at least one object attribute and an asset attribute, wherein the asset attribute is external to the transaction request.

4. The method of claim 3 wherein the transaction is received at an evaluation system of a supplier for evaluation, a first object relates to a first asset requested from the supplier, and the asset attribute includes information of the supplier pertaining to the first asset.

5. The method of claim 1 wherein the object score for a first object is generated by applying at least one metric function of the set of metric functions to a first attribute of a set of attributes of the first object.

6. The method of claim 5 wherein the object score for the first object is generated by applying the at least one metric function of the set of metric functions to a second attribute, so that the calculation of object score for the first object is based on both of the first and second attributes.

7. The method of claim 6 wherein the second attribute is included within a set of attributes of the first object.

8. The method of claim 6 wherein the second attribute is included within a set of attributes of a second object.

9. The method of claim 5 wherein the object score for the first object is generated by applying a plurality of metric functions to attributes of the first object.

10. The method of claim 9 wherein the object score for the first object is generated by applying the plurality of metric functions to attributes of the plurality of objects.

11. The method of claim 1 wherein the plurality of metrics include any one of a price metric, a delivery date metric, a lead-time metric, a discount metric, a standard margin percentage metric, a present value of money metric, a customer ranking metric competition, a transaction volume, asset availability, capacity availability, customer location, customer business type, transaction history, transaction time with respect to business cycle, payment history, future prospects for a customer, and an asset life cycle.

12. The method of claim 1 wherein the request score is generated to have a value that is meaningful when compared to a target score, the target score representing an expected request score for the transaction request.

13. The method of claim 1 wherein the expectation for the transaction request is expressed in terms of respective target values for each of the set of metric functions.

14. The method of claim 1 wherein the plurality of objects include a line item object representing a line item within the transaction request, the line item object including a set of line item attributes.

15. The method of claim 14 wherein the plurality of objects include a bundle object representing a plurality of line item objects within the transaction request, wherein the bundle object represents a group of objects processed as a unit.

16. The method of claim 1 wherein the plurality of objects include a request level object including a set of request-level attributes.

17. The method of claim 1 wherein the set of object attributes comprises a set of line item attributes, and the set of line item attributes includes any one of a line item description, a line item price, a line item volume, a line item delivery time, a line item financing option, a line item quality, and a customer credit rating.

18. The method of claim 1 wherein the set of object attributes includes any one of discrete and continuous attributes capable of having discrete and continuous attributes values, respectively.

19. The method of claim 1 wherein the set of object attributes includes an argument attribute having an attribute value that is an argument within a metric function of the set of metric functions.

20. The method of claim 1 wherein the set of object attributes includes a target modifier attribute having a target modifier value that modifies a target value associated with a metric function of the set of metric functions.

21. The method of claim 1 wherein the application of the set of metric functions includes applying a different set of metric functions against each set of object attributes for each object.

22. The method of claim 1 wherein the generation of the object score for a first object of the plurality of objects includes applying at least one metric function of the set of metric functions against a set of object attributes for the first object to generate at least one metric value for the first object.

23. The method of claim 22 wherein the generation of the object score for the first object includes applying at least one normalizing function to the at least one metric value for the first object to generate at least one normalized metric value for the first object, the at least one normalized metric value reflecting the at least one metric value with respect to a normalized scale for a respective metric, wherein the normalized scale is normalized with respect to a target value for the respective metric.

24. The method of claim 23 including applying a plurality of metric functions of the set of metric functions against the set of object attributes for first object to generate a plurality of metric values for at first object.

25. The method of claim 24 wherein the generation of the object score for the first object includes applying a plurality of normalizing functions to the plurality of metric values for at least the first object to generate a plurality of normalized metric values for the first object of the plurality of objects, each of the plurality of normalized metric values reflecting to a metric value of the plurality of metric values with respect to a normalized scale for a respective metric.

26. The method of claim 25 wherein the generation of the object score for the first object includes aggregating the plurality of normalized metric values for each object.

27. The method of claim 26 wherein the aggregation of the plurality of normalized metric values includes any one of a group of aggregation methods including calculating a sum of the plurality of normalized metric values, calculating a product of the plurality of normalized metric values, selecting a minimum normalized metric value from the plurality of normalized metric values, and selecting a maximum normalized metric value from the plurality of normalized metric values.

28. The method of claim 26 wherein the aggregation of the plurality of normalized metric values includes applying different weightings to first and second normalized metric values of the plurality of normalized metric values.

29. The method of claim 28 wherein the aggregation of the plurality of normalized metric values includes calculating a weighted sum of the plurality of normalized metric values.

30. The method of claim 1 including determining at least one reference value for a first metric of the plurality of metrics.

31. The method of claim 30 wherein the at least one reference value comprises a target reference value that is calculated for the first metric with respect to the normalized scale for the first metric, the target reference value indicating a normalized metric value.

32. The method of claim 30 including determining a plurality of reference values for each metric of the plurality of metrics.

33. The method of claim 32 wherein a first normalizing function of the plurality of normalizing functions is defined in terms of the plurality of reference values.

34. The method of claim 33 wherein an application of the first normalizing function includes determining whether a first metric value for a first object corresponds to any one of the plurality of reference values and, if so, then setting a corresponding reference value of the plurality of reference values as a first normalized metric value corresponding to the first metric value.

35. The method of claim 34 wherein, if the first metric value does not correspond to any one of the reference values, then either interpolating or extrapolating from the plurality of reference values to determine the normalized metric value corresponding to the first metric value.

36. The method of claim 35 wherein the interpolating or the extrapolating includes applying either a convex or a concave function between any two of the plurality of reference values.

37. The method of claim 1 wherein the object score for the first object is generated by applying the set of metric functions to metric values outputted via the plurality of metric functions with respect to the first object, or with respect to other objects of the plurality of objects.

38. The method of claim 25 including iteratively recalculating the plurality of normalized metric values until equilibrium between the normalized metric values is reached.

39. The method of claim 32 wherein the plurality of reference values include maximum and minimum reference values, and a normalized scale for a respective metric is bound by the minimum and maximum reference values.

40. The method of claim 39 wherein a zero reference value is calculated for the respective metric with respect to the normalized scale for the respective metric.

41. The method of claim 40 wherein the zero reference value corresponds to the minimum reference value.

42. The method of claim 1 wherein the aggregating of the object scores includes weighing each of the objects scores to generate a weighted object score.

43. The method of claim 1 including summing weighted object scores for each of the objects to generate a weighted score summary.

44. The method of claim 1 wherein the aggregation of the object scores is performed hierarchically utilizing a score aggregation function.

45. The method of claim 1 wherein the aggregation of the object scores includes any one of a group of aggregation methods including selection of a maximum object score from among the object scores and selection of a minimum object score from among the object scores.

46. The method of claim 16 including identifying at least one request level attribute of the request level object, the at least one request level attribute indicating an attribute pertaining generally to the transaction request.

47. The method of claim 46 wherein the at least one request level attribute includes any one of a group of attributes including a customer tier for a customer issuing the transaction request, a contract value for the customer issuing the transaction request, a revenue pressure value, a dollar volume associated with the transaction request, customer payment history and credit level.

48. The method of claim 46 including applying a request-level metric function against the at least one request level attribute to generate a request-level attribute score.

49. The method of claim 1 including identifying a plurality of request level attributes of the request level object, applying a plurality of request-level metric functions against each of the plurality of request level attributes to generate a request-level attribute score.

50. The method of claim 49 including combining the object scores and the request-level attribute score to generate the request score.

51. The method of claim 1 wherein the transaction request includes any one of a request for quote (RFQ), a request for price agreement and an order.

52. The method of claim 1 wherein in the plurality of objects comprises any one of a linear data structure and a hierarchical data structure.

53. The method of claim 1 including receiving the transaction request at a transaction evaluation system, and generating the request score utilizing the transaction evaluation system.

54. The method of claim 54 wherein the transaction evaluation system is deployed by an asset supplier to evaluate a transaction request relating to an asset provided by the asset supplier.

55. An evaluation system to evaluate a transaction request including a plurality of objects associated with the transaction request, each of the plurality of objects including a set of the object attributes, each object attribute representing a respective attribute of the transaction request, the system comprising:

a set of metric functions, each associated with a respective metric of a plurality of metrics, to be applied against the sets of the object attributes and to generate an object score for each object; and

an aggregator to aggregate the object scores for the plurality of objects to generate a request score indicative of an overall evaluation of the transaction request relative to an expectation for the transaction request.

56. The system of claim 55 wherein a first metric function of the set of metric functions is a function of at least one object attribute.

57. The system of claim 55 wherein the first metric function of the set of metric functions is a function of at least one object attribute and an asset attribute, wherein the asset attribute is external to the transaction request.

58. The system of claim 57 wherein the transaction is received at the evaluation system of a supplier for evaluation, a first object relates to a first asset requested from the supplier, and the asset attribute includes information of the supplier pertaining to the first asset.

59. The system of claim 55 wherein the object score for a first object is generated by applying at least one metric function of the set of metric functions to a first attribute of a set of attributes of the first object.

60. The system of claim 59 wherein the object score for the first object is generated by applying the at least one metric function of the set of metric functions to a second attribute, so that the calculation of object score for the first object is based on both of the first and second attributes.

61. The system of claim 55 wherein the plurality of metrics include any one of a price metric, a delivery date metric, a lead-time metric, a discount metric, a standard margin percentage metric, a present value of money metric, a customer ranking metric competition, a transaction volume, asset availability, capacity availability, customer location, customer business type, transaction history, transaction time with respect to business cycle, payment history, future prospects for a customer, and an asset life cycle.

62. The system of claim 55 wherein the request score is generated to have a value that is meaningful when compared to a target score, the target score representing an expected request score for the transaction request.

63. The system of claim 55 wherein the expectation for the transaction request is expressed in terms of respective target values for each of the set of metric functions.

64. The system of claim 55 wherein the plurality of objects include a line item object representing a line item within the transaction request, the line item object including a set of line item attributes.

65. The system of claim 55 wherein the plurality of objects include a request level object including a set of request-level attributes.

66. The system of claim 55 wherein at least one metric function of the set of metric functions is to be applied against a set of object attributes for the first object to generate at least one metric value for the first object..

67. The system of claim 66 including at least one normalizing function to be applied to the at least one metric value for the first object to generate at least one normalized metric value for the first object, the at least one normalized metric value reflecting the at least one metric value with respect to a normalized scale for a respective metric, wherein the normalized scale is normalized with respect to a target value for the respective metric..

68. The system of claim 67 wherein a plurality of metric functions of the set of metric functions is to be applied against the set of object attributes for first object to generate a plurality of metric values for at first object.

69. The system of claim 68 including a plurality of normalizing functions to be applied to the plurality of metric values for at least the first object to generate a plurality of normalized metric values for the first object of the plurality of objects, each of the plurality of normalized metric values reflecting to a metric value of the plurality of metric values with respect to a normalized scale for a respective metric.

70. The system of claim 69 wherein the aggregator is to generate of the object score for the first object includes aggregating the plurality of normalized metric values for each object.

71. The system of claim 55 including a normalizing function to determine at least one reference value for a first metric of the plurality of metrics.

72. The system of claim 71 wherein the normalizing function is to calculate the at least one reference value as a target reference value that is calculated for the first metric with respect to a normalized scale for the first metric, the target reference value indicating a normalized metric value.

73. The system of claim 71 wherein the normalizing function to determine a plurality of reference values for each metric of the plurality of metrics.

74. The system of claim 73 wherein the normalizing function includes a first normalizing function of the plurality of normalizing functions that is defined in terms of the plurality of reference values.

75. The system of claim 74 wherein an application of the first normalizing function is to determine whether a first metric value for a first object corresponds to any one of the plurality of reference values and, if so, then to set a corresponding reference value of the plurality of reference values as a first normalized metric value corresponding to the first metric value.

76. The system of claim 75 wherein, if the first metric value does not correspond to any one of the reference values, then the first normalizing function is to either interpolate or extrapolate from the plurality of reference values to determine the normalized metric value corresponding to the first metric value.

77. The system of claim 69 wherein the normalizing function is to iteratively recalculate the plurality of normalized metric values until an equilibrium between the normalized metric values is reached.

78. The system of claim 55 wherein the aggregator is to weigh each of the objects scores to generate a weighted object score.

79. The system of claim 55 wherein the aggregator is to sum weighted object scores for each of the objects to generate a weighted score summary.

80. An evaluation system to evaluate a transaction request including a plurality of objects associated with the transaction request, each of the plurality of objects including a set of the object attributes, each object attribute representing a respective attribute of the transaction request, the system comprising:

metric means for application against the sets of the object attributes and for generating an object score for each object; and

aggregator means for aggregating the object scores for the plurality of objects to thereby generate a request score indicative of an overall evaluation of the transaction request relative to an expectation for the transaction request.

81. A machine-readable medium storing a set of instructions that, when executed by a machine, cause the machine to:

identify a plurality of objects associated with a transaction request, each of the plurality of objects including a set of the object attributes, each object attribute representing a respective attribute of the transaction request;

apply a set of metric functions, each associated with a respective metric of a plurality of metrics, against the sets of the object attributes to generate an object score for each object; and

aggregate the object scores for the plurality of objects to generate a request score indicative of an overall evaluation of the transaction request relative to an expectation for the transaction request.