Casino table game yield management system

• US 8,512,146 B2
• Filed: 11/16/2009
• Issued: 08/20/2013
• Est. Priority Date: 11/16/2009
• Status: Active Grant

• Current Assignee: Tangam Technologies Incorporated
• Original Assignee: Tangam Technologies Incorporated
• Inventors: Gururajan, Prem, Gandhi, Maulin, Denis, Patrick Hermann, Jackson, Jason Robert, Taylor, Christopher
• Primary Examiner(s): D'AGOSTINO, PAUL ANTHONY
• Application Number:
  US12/619,671
• Publication Number:
  US 20110118007A1
• Time in Patent Office: 1,373 Days
• Field of Search: None
• US Class Current: 463/42
• CPC Class Codes: G07F 17/32 for games, toys, sports, or amusements
• CPC Class Codes: G07F 17/3234 about the performance of a gaming system, e.g. revenue, diagnosis of the gaming system

Abstract

The casino table yield management data processing system has a minimum bet change recommendation generator receiving casino table occupancy and player betting data and generating recommendation data based on casino game operations model data and business rule data. A timing filter determines when recommendation data is to be presented to an operator. A quantification filter calculates revenue value data of implementing a minimum bet change and determining whether recommendation data is to be presented to an operator.

Claims

1. A casino table yield management data processing system comprising:

an input module for collecting casino table occupancy and player betting data;

a minimum bet change recommendation generator configured to receive said casino table occupancy and player betting data and generating recommendation data based on casino game operations model data and business rule data, said recommendation data representing a plurality of minimum bet change recommendations;

a timing filter configured to track over time each minimum bet change recommendation contained in said recommendation data, to determine when recommendation data is to be presented to an operator, and to output filtered recommendation data that has been determined to be for operator presentation, said filtered recommendation data representing fewer minimum bet change recommendations than are contained in said recommendation data generated by said recommendation generator; and

a display for displaying said filtered recommendation data to an operator.

2. The system as defined in claim 1, wherein said minimum bet change recommendation generator comprises a high value player recommendation generator receiving said casino table occupancy and player betting data to provide player classification data, said high value player recommendation generator using said player classification data to generate recommendation data.

3. The system as defined in claim 1, further comprising a business rule data editor having a user interface for defining a schedule of numbers of gaming tables in operation, and a schedule of conditions concerning numbers of gaming tables offering predetermined betting minimum amounts, said recommendation generator generating recommendations respecting said schedule of conditions.

4. The system as defined in claim 1, wherein said business rule data includes at least one of:

schedules of betting minimum possibilities for specific tables;

requirements concerning numbers of gaming tables offering predetermined betting minimum at predetermined time periods; and

target occupancies for player betting levels, said recommendation generator generating recommendations respecting said data defining limits.

5. The system as defined in claim 1, wherein said minimum bet change recommendation generator comprises an occupancy recommendation generator evaluating said casino table occupancy and player betting data against said target occupancies of said business rule data to generate recommendation data.

6. The system as defined in claim 1, further comprising a comment editor interface for recording comment data regarding how said recommendation data displayed by said display is evaluated or acted on by a user.

7. The system as defined in claim 6, further comprising a log module recording over time said recommendation data and said comment data.

8. The system as defined in claim 1, further comprising a quantification calculator calculating revenue value data of implementing a minimum bet change in accordance with said recommendation data.

9. The system as defined in claim 8, wherein said revenue value data is compared against a pre-determined threshold in said business rule data to determine if it should be displayed to said operator

10. The system as defined in claim 8, wherein said revenue value data is presented by said display with said recommendation data

11. A casino table yield management data processing system comprising:

an input module for collecting casino table occupancy and player betting data;

a minimum bet change recommendation generator configured to receive said casino table occupancy and player betting data and generating recommendation data based on casino game operations model data and business rule data, said recommendation data representing a plurality of minimum bet change recommendations;

a quantification filter configured to analyze said casino table occupancy and player betting data, and said casino game operations model data and business rule data for each minimum bet change recommendation contained in said recommendation data, to calculate revenue value data of implementing a minimum bet change in accordance with said recommendation data, to determine whether recommendation data is to be presented to an operator as a function of said revenue value data, and to output filtered recommendation data determined to be for operator presentation, said filtered recommendation data representing fewer minimum bet change recommendations than are contained in said recommendation data generated by said recommendation generator;

a display for displaying said filtered recommendation data to an operator.

12. The system as defined in claim 11, wherein said revenue value data is compared to a threshold in said business rule data in order to determine if said recommendation data is suitable to be displayed on said display to said operator.

13. The system as defined in claim 11, wherein said minimum bet change recommendation generator comprises a high value player recommendation generator receiving said casino table occupancy and player betting data to provide player classification data, said high value player recommendation generator using said player classification data to generate recommendation data.

14. The system as defined in claim 11, further comprising a business rule data editor having a user interface for defining a schedule of numbers of gaming tables in operation, and a schedule of conditions concerning numbers of gaming tables offering predetermined betting minimum amounts, said recommendation generator generating recommendations respecting said schedule of conditions.

15. The system as defined in claim 11, wherein said business rule data includes at least one of:

schedules of betting minimum possibilities for specific tables;

requirements concerning numbers of gaming tables offering predetermined betting minimum at predetermined time periods; and

target occupancies for player betting levels, said recommendation generator generating recommendations respecting said data defining limits.

16. The system as defined in claim 11, wherein said minimum bet change recommendation generator comprises an occupancy recommendation generator evaluating said casino table occupancy and player betting data against said target occupancies of said business rule data to generate recommendation data.

17. The system as defined in claim 11, further comprising a comment editor interface for recording comment data regarding how said recommendation data displayed by said display is evaluated or acted on by a user.

18. The system as defined in claim 17, further comprising a log module recording over time said recommendation data and said comment data.