QUEUE EARLY WARNING SYSTEM

• US 20100036706A1
• Filed: 06/23/2006
• Published: 02/11/2010
• Est. Priority Date: 06/24/2005
• Status: Abandoned Application

• Current Assignee: Beonic Corporation Pty Limited
• Original Assignee: Beonic Corporation Pty Limited
• Inventors: Cohen, Peter Geoffrey
• Application Number:
  US11/993,217
• Publication Number:
  US 20100036706A1
• Time in Patent Office: Days
• US Class Current: 705/9
• CPC Class Codes: G06Q 10/06311 Scheduling, planning or task assignment for a person or group
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A method and apparatus for rostering staff in a service region such as a supermarket (10) in which required staff numbers for a checkout (16), for instance, depends upon demand for that function at a selected time. The method including the steps of determining (18, 30) the number of persons entering at least one area in the region (12, 14), calculating the estimated time each person will spend in that area dependant upon selected factors and predicting future demands for staff for a selected portion of time ahead. The required number of staff can then be supplied to the checkout in time to cater for the predicted demand or redeployed to another area.

Claims

1. A method of deploying rostered staff in a service region in which required staff numbers for a particular function depend upon demand for that function at a selected time, the method including the steps of;

determining the number of persons entering at least one area in the region;

calculating the estimated time each person will spend in that area dependant upon selected factors;

predicting future demands for staff for a selected portion of time ahead, and

deploying staff to meet the predicted demand

whereby the required number of staff can be supplied to the service region in time to cater for the predicted demand.

2. A method as in claim 1 wherein the step of predicting future demands includes the steps of at least one of:

assessing person numbers in selected areas;

setting customer service level requirements; and

setting cash register staffing requirements to meet customer demand.

3. A method as in claim 1 wherein the service region is a department store or a supermarket.

4. A method as in claim 1 wherein the selected factors include one or more of;

time of day;

day of the week;

type of demand in the area;

predicted demand factors;

historically determined factors;

empirically determined factors;

expected variable demand profile;

acceptable waiting time in queues to have the demand satisfied;

expected quantum of demand for the time of day and day of week;

tender time at the cash register; and

customer interaction time

5. A method as in claim 1 further including the step of displaying the required staff numbers for the particular function whereby to allow management to take any required action.

6. A method as in claim 5 wherein the step of displaying the required staff numbers includes displaying the number as an increment or decrement from that of staff actually present at the selected time.

7. A method as in claim 5 wherein the step of displaying the required staff numbers includes using a paging system to deploy staff to an area.

8. A method as in claim 1 wherein the particular function is a cash register or checkout in a shop.

9. A method as in claim 1 wherein the service region is divided into a plurality of sub-regions and numbers entering each sub-region are determined and the step of calculating the estimated time each person will spend in that sub-region is dependent upon selected factors for that sub-region whereby the step of predicting future demands for staff is a composite of the estimated times for each of the sub-regions.

10. A method as in claim 9 wherein the sub-regions comprise departments of a department store or aisles or region of a supermarket.

11. A method as in claim 1 further including the step of recording the calculations and actions made to enable management to perform post analysis.

12. A method of rostering staff in a supermarket in which required staff numbers for a cash register or checkout function depend upon the amount of persons requiring the cash register or checkout function at a particular time, the method including the steps of;

determining the number of persons entering the supermarket or at least one area in the supermarket;

calculating the estimated time each person will spend in the supermarket or that area dependent upon selected factors;

predicting demands for staff numbers for a cash register or checkout function for a selected portion of time into the future based upon the estimated time each person will spend; and

displaying the required numbers to allow management to take any required action;

whereby the required number of staff can be supplied to the cash register or checkout function in time to cater for the predicted demand.

13. A method of rostering staff as in claim 12 wherein the step of displaying the required numbers includes the step of displaying the numbers both graphically and numerically.

14. An early warning system for supermarket checkout management comprising;

a traffic counting system to determine numbers of persons entering the supermarket;

a computing system to calculate the expected residence time in the supermarket of the persons entering the supermarket dependent upon selected factors and to predict the time until those persons will reach a checkout;

a display arrangement to indicate the required staff numbers at a checkout for a selected period of time into the future based upon the calculated expected residence time;

whereby supermarket checkout management can roster staff to cater for the predicted numbers going forward in time.

15. An early warning system as in claim 14 wherein the selected factors include one or more of;

time of day;

day of the week;

type of goods or service available in the area;

predicted demand factors;

historically determined factors;

empirically determined factors;

expected purchasing profile;

acceptable waiting time in queues at the checkout or cash register;

expected basket size for the time of day and day of week; and

tender time at the checkout

16. An early warning system as in claim 14 wherein the display comprises a display of the actual staff present at the selected time and a number being an increment or decrement from the number of staff actually present and the display comprises a display of the numbers both graphically and numerically.

17. An early warning system as in claim 14 wherein the display comprises a display of the rostered staff, actual staff present at the selected time and predicted staff requirement and the display comprises a display of the numbers both graphically and numerically.

18. An early warning system as in claim 14 wherein the display comprises a paging system to enable staff to be deployed to an area where customers are waiting or queuing.

19. An early warning system as in claim 14 wherein the traffic counting system comprises a plurality of traffic counters, each traffic counter determining traffic into particular sub-regions or all of the space within the supermarket and the computing system to calculate the expected residence time in the supermarket of the persons entering the supermarket or leaving a particular department is adapted to calculate the time in each sub-region dependent upon selected factors for that sub-region and to predict a composite time until those persons will reach a checkout.

20. An early warning system as in claim 14 wherein each of the detectors includes a recognition device for staff within a service region and staff in that region carry transponder for that recognition device whereby to track staff and distinguish staff from customers to assist with improving the accuracy of customer service and queuing demand prediction.

21. An early warning system as in claim 20 wherein recognition device comprises a radio frequency identification devices (RFID).