OPTIMIZING QUEUE LOADING THROUGH VARIABLE ADMITTANCE FEES

• US 20120116789A1
• Filed: 11/09/2010
• Published: 05/10/2012
• Est. Priority Date: 11/09/2010
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Boss, Gregory J., Jones, Andrew R., McConnell, Kevin C., Moore, John E. Jr.
• Application Number:
  US12/942,303
• Publication Number:
  US 20120116789A1
• Time in Patent Office: Days
• US Class Current: 705/1.1
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

Attraction attendance levels experienced by a customer are dynamically managed as a function of customer admission pricing. A customer is offered an opportunity to pay a regular admission fee or a higher premium admission fee for admission to a facility with one or more attractions, wherein the customer is provided with information as to an amount of reduced queue loading that will be achieved by the customer if the customer pays the premium admission fee. Queue loading is monitored, and a queue load diminishment relative to an expected queue load is identified, the amount of reduced queue loading achievable by the customer through paying the premium admission fee updated accordingly. The customer is notified of the updated amount of reduced queue loading achievable through paying the premium admission fee as a function of customer metadata.

Claims

1. A method for dynamically managing attraction attendance levels experienced by a customer as a function of customer admission pricing, the method comprising:

offering a customer an opportunity to pay a regular admission fee or a premium admission fee for admission to a facility comprising at least one attraction, wherein the customer is provided with information as to an amount of reduced queue loading that will be achieved by the customer if the customer pays the premium admission fee, and wherein the premium admission fee is higher than the regular admission fee;

monitoring queue loading with respect to the at least one attraction;

identifying a queue load diminishment relative to an expected queue load of the monitored queue loading;

updating the amount of reduced queue loading that will be achieved by the customer if the customer pays the premium admission fee; and

notifying the customer of the updated amount of reduced queue loading achievable if the customer pays the premium admission fee as a function of customer metadata.

2. The method of claim 1, wherein the amount of reduced queue loading that will be achieved by the customer if the customer pays the premium admission fee is a premium fee reduction in a total facility occupancy which is higher than a reduction in occupancy effected by payment of the normal admission fee.

3. The method of claim 2, further comprising:

optimizing at least one of the premium admission fee pricing and a total occupancy reduction to maximize a total per-customer revenue estimation to offset a loss in total admission fees created by the total occupancy reduction.

4. The method of claim 3, further comprising:

determining a future revenue assumption as a function of a expected customer satisfaction created by the total occupancy; and

including the future revenue assumption in the total per-customer revenue.

5. The method of claim 4, further comprising:

determining a rate of acceptance of the premium admission fee; and

adjusting the premium admission fee downward in response to a low determined acceptance rate.

6. The method of claim 1, wherein the amount of reduced queue loading that will be achieved by the customer if the customer pays the premium admission fee is a short queue opportunity;

and

wherein the notifying the customer of the updated amount of reduced queue loading achievable if the customer pays the premium admission fee as the function of customer metadata comprises notifying premium admission customers of the short queue opportunity in advance of normal admission customers as a function of a priority of premium admission payment status.

7. The method of claim 6, further comprising:

offering the customer an opportunity to pay individual short queue fees and move to a preferred customer entrance for each of a plurality of individual short queue opportunities identified with respect to the at least one attraction.

8. The method of claim 7, further comprising:

varying the individual short queue fees as a function of queue loading by charging higher fees for relatively greater reductions in wait times over normal line wait times.

9. A computer system, comprising:

a processing unit, computer readable memory and a computer readable storage system;

first program instructions to offer a customer an opportunity to pay a regular admission fee or a premium admission fee for admission to a facility comprising at least one attraction, wherein the customer is provided with information as to an amount of reduced queue loading that will be achieved by the customer if the customer pays the premium admission fee, and wherein the premium admission fee is higher than the regular admission fee;

second program instructions to monitor queue loading with respect to the at least one attraction and identify a queue load diminishment relative to an expected queue load of the monitored queue loading; and

third program instructions to update the amount of reduced queue loading that will be achieved by the customer if the customer pays the premium admission fee and notify the customer of the updated amount of reduced queue loading achievable if the customer pays the premium admission fee as a function of customer metadata; and

wherein the first, second and third program instructions are stored on the computer readable storage system for execution by the processing unit via the computer readable memory.

10. The computer system of claim 9, wherein the amount of reduced queue loading that will be achieved by the customer if the customer pays the premium admission fee is a premium fee reduction in a total facility occupancy which is higher than a reduction in occupancy effected by payment of the normal admission fee.

11. The computer system of claim 10, wherein the first program instructions are further to optimize at least one of the premium admission fee pricing and a total occupancy reduction to maximize a total per-customer revenue estimation to offset a loss in total admission fees created by the total occupancy reduction.

12. The computer system of claim 11, further comprising:

fourth program instructions to determine a future revenue assumption as a function of an expected customer satisfaction created by the total occupancy, and include the future revenue assumption in the total per-customer revenue; and

wherein the fourth program instructions are stored on the computer readable storage system for execution by the processing unit via the computer readable memory.

13. The computer system of claim 9, wherein the amount of reduced queue loading that will be achieved by the customer if the customer pays the premium admission fee is a short queue opportunity;

and

wherein the third program instructions are further to notify the customer of the updated amount of reduced queue loading achievable if the customer pays the premium admission fee as the function of customer metadata by notifying premium admission customers of the short queue opportunity in advance of normal admission customers as a function of a priority of premium admission payment status.

14. The computer system of claim 13, further comprising:

fifth program instructions to offer the customer an opportunity to pay individual short queue fees and move to a preferred customer entrance for each of a plurality of individual short queue opportunities identified with respect to the at least one attraction; and

wherein the fifth program instructions are stored on the computer readable storage system for execution by the processing unit via the computer readable memory.

15. A computer program product for dynamically managing attraction attendance levels experienced by a customer as a function of customer admission pricing, the computer program product comprising:

a computer readable storage medium;

first program instructions to offer a customer an opportunity to pay a regular admission fee or a premium admission fee for admission to a facility comprising at least one attraction, wherein the customer is provided with information as to an amount of reduced queue loading that will be achieved by the customer if the customer pays the premium admission fee, and wherein the premium admission fee is higher than the regular admission fee;

second program instructions to monitor queue loading with respect to the at least one attraction and identify a queue load diminishment relative to an expected queue load of the monitored queue loading; and

third program instructions to update the amount of reduced queue loading that will be achieved by the customer if the customer pays the premium admission fee and notify the customer of the updated amount of reduced queue loading achievable if the customer pays the premium admission fee as a function of customer metadata; and

wherein the first, second and third program instructions are stored on the computer readable storage medium.

16. The computer program product of claim 15, wherein the amount of reduced queue loading that will be achieved by the customer if the customer pays the premium admission fee is a premium fee reduction in a total facility occupancy which is higher than a reduction in occupancy effected by payment of the normal admission fee.

17. The computer program product of claim 16, wherein the first program instructions are further to optimize at least one of the premium admission fee pricing and a total occupancy reduction to maximize a total per-customer revenue estimation to offset a loss in total admission fees created by the total occupancy reduction.

18. The computer program product of claim 17, further comprising:

fourth program instructions to determine a future revenue assumption as a function of an expected customer satisfaction created by the total occupancy, and include the future revenue assumption in the total per-customer revenue; and

wherein the fourth program instructions are stored on the computer readable storage medium.

19. The computer program product of claim 15, wherein the amount of reduced queue loading that will be achieved by the customer if the customer pays the premium admission fee is a short queue opportunity;

and

wherein the third program instructions are further to notify the customer of the updated amount of reduced queue loading achievable if the customer pays the premium admission fee as the function of customer metadata by notifying premium admission customers of the short queue opportunity in advance of normal admission customers as a function of a priority of premium admission payment status.

20. The computer program product of claim 19, further comprising:

sixth program instructions to vary the individual short queue fees as a function of queue loading by charging higher fees for relatively greater reductions in wait times over normal line wait times; and

wherein the sixth program instructions are stored on the computer readable storage medium.