SALE PREDICTION ENGINE RULES

• US 20140149180A1
• Filed: 04/19/2013
• Published: 05/29/2014
• Est. Priority Date: 04/19/2012
• Status: Abandoned Application

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: YASEEN, Rahim Mohamed, SHAH, Hetal J., BHATIA, Manish, MAKKENA, Murali K., GROSS, Klaus Peter
• Application Number:
  US13/866,946
• Publication Number:
  US 20140149180A1
• Time in Patent Office: Days
• US Class Current: 705/7.31
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

Abstract

Disclosed is an improved method, system, and computer product for implementing a rules engine to be used in conjunction with a sale prediction engine. A rules dictionary may be used to define a logical data model for one or more rules. Predictions may be generated by applying the rules to attributes extracted from customer entities.

Claims

1. A method for rule-based sales prediction, comprising:

storing one or more rules in a rules dictionary, wherein the rules dictionary defines a logical data model for the one or more rules;

extracting one or more attributes from one or more entities;

generating one or more predictions of sales corresponding to the one or more entities,

wherein the generating comprises applying the one or more rules to the one or more extracted attributes.

2. The method of claim 1, wherein the one or more rules comprise recommendation rules and eligibility rules.

3. The method of claim 1, wherein the one or more entities comprise customer data or asset data.

4. The method of claim 1, wherein the extracting of one or more attributes is based at least in part upon the one or more rules.

5. The method of claim 1, wherein the one or more predictions comprise data corresponding to a customer name, a recommended product, and a confidence level.

6. The method of claim 1, wherein the one or more predictions are used to generate one or more sales recommendations.

7. The method of claim 1, wherein the rules dictionary maps a rule attribute to an attribute extracted from a customer view object.

8. The method of claim 7, wherein the customer view object is a logical representation of one or more entries of a customer table.

9. The method of claim 1, wherein the generating step further comprises applying one or more models to the extracted attributes.

10. The method of claim 1, further comprising applying one or more eligibility rules to the generated predictions.

11. The method of claim 10, wherein the applying of eligibility rules comprises applying the one or more eligibility rules to one or more extracted attributes of the entities associated with the generated predictions.

12. The method of claim 10, wherein the generated predictions are placed as entries in a staging table, and wherein the eligibility rules are applied to the staging table entries.

13. The method of claim 1, further comprising filtering the one or more entities so that predictions are only generated for specified entities.

14. The method of claim 1, further comprising filtering one or more products so that predictions are only generated for specified products.

15. The method of claim 1, further comprising dividing the one or more entities into one or more job threads.

16. A system for rule-based sales prediction, comprising:

a processor; and

a memory to hold the program code instructions, in which the program code instructions comprises program code to perform;

storing one or more rules in a rules dictionary, wherein the rules dictionary defines a logical data model for the one or more rules;

extracting one or more attributes from one or more entities; and

generating one or more predictions of sales corresponding to the one or more entities;

wherein the generating comprises applying the one or more rules to the one or more extracted attributes.

17. The system of claim 16, wherein the one or more rules comprise recommendation rules and eligibility rules.

18. The system of claim 16, wherein the one or more entities comprise customer data or asset data.

19. The system of claim 16, wherein the extracting of one or more attributes is based at least in part upon the one or more rules.

20. The system of claim 16, wherein the one or more predictions comprise data corresponding to a customer name, a recommended product, and a confidence level.

21. The system of claim 16, wherein the one or more predictions are used to generate one or more sales recommendations.

22. The system of claim 16, wherein the rules dictionary maps a rule attribute to an attribute extracted from a customer view object.

23. The system of claim 22, wherein the customer view object is a logical representation of one or more entries of a customer table.

24. The system of claim 16, wherein the generating step further comprises applying one or more models to the extracted attributes.

25. The system of claim 16, further comprising applying one or more eligibility rules to the generated predictions.

26. The system of claim 25, wherein the applying of eligibility rules comprises applying the one or more eligibility rules to one or more extracted attributes of the entities associated with the generated predictions.

27. The system of claim 25, wherein the generated predictions are placed as entries in a staging table, and wherein the eligibility rules are applied to the staging table entries.

28. The system of claim 16, further comprising filtering the one or more entities so that predictions are only generated for specified entities.

29. The system of claim 16, further comprising filtering one or more products so that predictions are only generated for specified products.

30. The system of claim 16, further comprising dividing the one or more entities into one or more job threads.

31. A computer program product including a non-transitory computer readable medium having instructions which, when executed by a processor, causes the processor to perform a process for rule-based sales prediction, the process comprising:

storing one or more rules in a rules dictionary, wherein the rules dictionary defines a logical data model for the one or more rules;

extracting one or more attributes from one or more entities;

generating one or more predictions of sales corresponding to the one or more entities,

wherein the generating comprises applying the one or more rules to the one or more extracted attributes.

32. The computer program product of claim 31, wherein the one or more rules comprise recommendation rules and eligibility rules.

33. The computer program product of claim 31, wherein the one or more entities comprise customer data or asset data.

34. The computer program product of claim 31, wherein the extracting of one or more attributes is based at least in part upon the one or more rules.

35. The computer program product of claim 31, wherein the one or more predictions comprise data corresponding to a customer name, a recommended product, and a confidence level.

36. The computer program product of claim 31, wherein the one or more predictions are used to generate one or more sales recommendations.

37. The computer program product of claim 31, wherein the rules dictionary maps a rule attribute to an attribute extracted from a customer view object.

38. The computer program product of claim 37, wherein the customer view object is a logical representation of one or more entries of a customer table.

39. The computer program product of claim 31, wherein the generating step further comprises applying one or more models to the extracted attributes.

40. The computer program product of claim 31, further comprising applying one or more eligibility rules to the generated predictions.

41. The computer program product of claim 40, wherein the applying of eligibility rules comprises applying the one or more eligibility rules to one or more extracted attributes of the entities associated with the generated predictions.

42. The computer program product of claim 40, wherein the generated predictions are placed as entries in a staging table, and wherein the eligibility rules are applied to the staging table entries.

43. The computer program product of claim 31, further comprising filtering the one or more entities so that predictions are only generated for specified entities.

44. The computer program product of claim 31, further comprising filtering one or more products so that predictions are only generated for specified products.

45. The computer program product of claim 31, further comprising dividing the one or more entities into one or more job threads.