INDIVIDUALIZED BEHAVIOR-BASED SERVICE BUNDLING AND PRICING

• US 20110119104A1
• Filed: 11/17/2009
• Published: 05/19/2011
• Est. Priority Date: 11/17/2009
• Status: Abandoned Application

• Current Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Original Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Inventors: Levine, Jonathan, Sun, Yu-An
• Application Number:
  US12/619,905
• Publication Number:
  US 20110119104A1
• Time in Patent Office: Days
• US Class Current: 705/7.25
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• 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: G06Q 50/06 Energy or water supply

Abstract

A method and system analyze service applications being utilized within a computerized network environment using an analytics module of a computerized device to produce operational information of the service applications and usage information of the service applications. The operational information is analyzed using an application behavior analysis module of the computerized device to produce application behavior profiles. The usage information is analyzed using an application association analysis module of the computerized device to produce bundles of the services applications. The application behavior profiles and the bundles of the service applications are analyzed using a pricing module of the computerized device to produce price ranges for each bundle of service applications and cost profiles for each bundle of service applications.

Claims

1. A method comprising:

analyzing service applications being utilized within a computerized network environment using an analytics module of a computerized device to produce operational information of said service applications and usage information of said service applications;

analyzing said operational information using an application behavior analysis module of said computerized device to produce application behavior profiles;

analyzing said usage information using an application association analysis module of said computerized device to produce bundles of said services applications; and

analyzing said application behavior profiles and said bundles of said service applications using a pricing module of said computerized device to produce price ranges for each bundle of service applications and cost profiles for each bundle of service applications.

2. The method according to claim 1, further comprising receiving requests from service providers into said application behavior analysis module when analyzing said operational information.

3. The method according to claim 1, said service applications comprising printing services, scanning services, optical character recognition services, file conversion services, e-mail services, and document color conversion services.

4. The method according to claim 1, said analyzing of said usage information by said application association analysis module comprising at least one of data mining and rule-based association analysis processing;

said data mining identifying potential services to be bundled; and

said rule-based association analysis combining said potential services into said bundles of services according to pre-established association rules.

5. The method according to claim 1, said analyzing of said operational information by said application behavior analysis module comprising profiling service usage to identify different marginal costs for different behavior profiles and different marginal costs for different user behaviors.

6. The method according to claim 1, said analyzing of said application behavior profiles and said bundles of said service applications by said pricing module comprising at least one of:

using historical pricing information to produce an estimate price of a reference bundle; and

computing bundle price by adding up current prices of all service applications included within said reference bundle.

7. A method comprising:

analyzing printing service applications being utilized within a computerized network environment using an analytics module of a computerized device to produce operational information of said printing service applications and usage information of said printing service applications;

analyzing said operational information using an application behavior analysis module of said computerized device to produce application behavior profiles;

analyzing said usage information using an application association analysis module of said computerized device to produce bundles of said services applications; and

analyzing said application behavior profiles and said bundles of said printing service applications using a pricing module of said computerized device to produce price ranges for each bundle of printing service applications and cost profiles for each bundle of printing service applications.

8. The method according to claim 7, further comprising receiving requests from service providers into said application behavior analysis module when analyzing said operational information.

9. The method according to claim 7, said printing service applications comprising printing services, scanning services, optical character recognition services, file conversion services, e-mail services, and document color conversion services.

10. The method according to claim 7, said analyzing of said usage information by said application association analysis module comprising at least one of data mining and rule-based association analysis processing;

said data mining identifying potential services to be bundled; and

said rule-based association analysis combining said potential services into said bundles of services according to pre-established association rules.

11. The method according to claim 7, said analyzing of said operational information by said application behavior analysis module comprising profiling service usage to identify different marginal costs for different behavior profiles and different marginal costs for different user behaviors.

12. The method according to claim 7, said analyzing of said application behavior profiles and said bundles of said printing service applications by said pricing module comprising at least one of:

using historical pricing information to produce an estimate price of a reference bundle; and

computing bundle price by adding up current prices of all printing service applications included within a bundle.

13. An apparatus comprising:

an analytics module analyzing service applications being utilized within a computerized network environment to produce operational information of said service applications and usage information of said service applications;

an application behavior analysis module analyzing said operational information to produce application behavior profiles;

an application association analysis module analyzing said usage information to produce bundles of said services applications; and

a pricing module analyzing said application behavior profiles and said bundles of said service applications to produce price ranges for each bundle of service applications and cost profiles for each bundle of service applications.

14. The apparatus according to claim 13, said application behavior analysis module receiving requests from service providers when analyzing said operational information.

15. The apparatus according to claim 13, said service applications comprising printing services, scanning services, optical character recognition services, file conversion services, e-mail services, and document color conversion services.

16. The apparatus according to claim 13, said analyzing of said usage information by said application association analysis module comprising at least one of data mining and rule-based association analysis processing;

said data mining identifying potential services to be bundled; and

said rule-based association analysis combining said potential services into said bundles of services according to pre-established association rules.

17. The apparatus according to claim 13, said analyzing of said operational information by said application behavior analysis module comprising profiling service usage to identify different marginal costs for different behavior profiles and different marginal costs for different user behaviors.

18. The apparatus according to claim 13, said analyzing of said application behavior profiles and said bundles of said service applications by said pricing module comprising at least one of:

using historical pricing information to produce an estimate price of a reference bundle; and

computing bundle price by adding up current prices of all service applications included within a bundle.

19. A computer-readable storage medium storing instructions executable by a computerized device, said instructions causing said computerized device to perform a method comprising:

analyzing service applications being utilized within a computerized network environment using an analytics module of a computerized device to produce operational information of said service applications and usage information of said service applications;

analyzing said operational information using an application behavior analysis module of said computerized device to produce application behavior profiles;

analyzing said usage information using an application association analysis module of said computerized device to produce bundles of said services applications; and

analyzing said application behavior profiles and said bundles of said service applications using a pricing module of said computerized device to produce price ranges for each bundle of service applications and cost profiles for each bundle of service applications.

20. The computer-readable storage medium according to claim 19, said method further comprising receiving requests from service providers into said application behavior analysis module when analyzing said operational information.

21. The computer-readable storage medium according to claim 19, said service applications comprising printing services, scanning services, optical character recognition services, file conversion services, e-mail services, and document color conversion services.

22. The computer-readable storage medium according to claim 19, said analyzing of said usage information by said application association analysis module comprising at least one of data mining and rule-based association analysis processing;

said data mining identifying potential services to be bundled; and

said rule-based association analysis combining said potential services into said bundles of services according to pre-established association rules.

23. The computer-readable storage medium according to claim 19, said analyzing of said operational information by said application behavior analysis module comprising profiling service usage to identify different marginal costs for different behavior profiles and different marginal costs for different user behaviors.