Checkout lane alert system and method

• US 5,390,107 A
• Filed: 04/28/1993
• Issued: 02/14/1995
• Est. Priority Date: 04/28/1993
• Status: Expired due to Term

• Current Assignee: Shoppertrak RCT Corporation (Johnson Controls International plc)
• Original Assignee: Datatec Industries, Inc. (Technology Infrastructure Solutions, Inc.)
• Inventors: Nelson, John D., Frey, Ronald G.
• Primary Examiner(s): McElheny, Jr., Donald E.
• Application Number:
  US08/054,710
• Time in Patent Office: 657 Days
• Field of Search: 364/401, 364/402, 364/405, 364/550, 364/569, 377/6
• US Class Current: 705/7.13
• CPC Class Codes: G06Q 10/06311 Scheduling, planning or task assignment for a person or group
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G07C 1/00 Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people registering or indicating the working of machines or vehicles G07C3/00, G07C5/00
• CPC Class Codes: G07G 1/0036 Checkout procedures
• CPC Class Codes: G07G 3/00 Alarm indicators, e.g. bells
• CPC Class Codes: G08B 29/24 Self-calibration, e.g. compensating for environmental drift or ageing of components

Abstract

A checkout lane alert system and method is a live, computer base, in-store system that integrates real time shopper traffic data with computerized statistical analysis to generate accurate short term forecasts of shopper traffic at the checkout lanes of the store. Shopper entry time data from a recognition system is used in the analysis. The system combines real time data with pre-gathered statistical data about the population that shops in a particular type of store and data which characterizes the checkout lane throughput capability for the store to predict checkout lane traffic and staffing requirements.

Claims

1. A computer implemented method of forecasting checkout lane traffic in a store including a recognition system having at least one sensor to recognize shoppers as they enter the store, the method comprising the steps of:

(a) recognizing, via said at least one sensor, shoppers who enter the store during a time period of selected duration, said time period composed of time intervals of selected durations;

(b) generating data, via said recognition system, representing the entry time interval of said shoppers;

(c) transmitting said data representing the entry time interval of each shopper to a computer;

(d) designating, via said computer, a percentage of said shoppers as buyers based on a selected conversion rate;

(e) assigning, via said computer, a shopping time to each buyer; and

(f) establishing, via said computer, a checkout lane arrival time for each buyer based on the buyer'"'"'s entry time interval and assigned shopping time.

2. The method of claim 1 further comprising the step of forecasting checkout lane traffic for a forecast period from the checkout lane arrival times.

3. The method of claim 2 further comprising the steps of repeating (d) through (f) to provide multiple simulations and forecasting checkout lane traffic as a function of said simulations.

4. The method of claim 3 further comprising the step of determining checkout lane staffing requirements from data generated as a function of a weighted average of the checkout lane arrival times of said buyers.

5. The method of claim 2 further comprising the step of producing a graphic display of said checkout lane traffic forecast.

6. The method of claim 5 further comprising the step of producing a graphic display of lane traffic for a selected historical time period.

7. The method of claim 1 further comprising the step of determining checkout lane staffing requirements from data generated as a function of said checkout lane traffic forecast.

8. The method of claim 7 further comprising the step of determining checkout lane staffing requirements as a function of criteria relating to checkout times, checkout waiting times, and checkout personnel idle times.

9. The method of claim 1 wherein the step of assigning a shopping time includes assigning said shopping time randomly from a frequency distribution.

10. A computer implemented method of forecasting checkout lane traffic in a store, said method comprising the steps of:

(a) electronically recognizing, with the assistance of at least one sensor, shopping data associated with the store, said shopping data including the time that each shopper enters the store during a selected time period, the time that each shopper exits the store during a selected time period, and the time of each transaction during a selected time period;

(b) transmitting said shopping data to a computer;

(c) generating historical data, via said computer, representing historical shopping patterns for said store, said shopping patterns including the number of shoppers who enter the store over a selected period, the percentage of said shoppers who are buyers, and the shopping times for said buyers;

(d) periodically electronically updating said historical data relating to the number of shoppers who enter the store to a current time interval; and

(e) generating data, via said computer, representing a forecast of checkout lane traffic as a function of said data representing said updated historical shopping patterns.

11. The method of claim 10 further comprising the step of recording said shopping data for future accessibility by said computer.

12. The method of claim 10 wherein said data representing said checkout lane traffic forecast is generated in response to repeated simulations based on said updated historical data.

13. The method of claim 10 further comprising the step of producing a graphic display of said checkout lane traffic forecast.

14. The method of claim 10 further comprising the step of determining checkout lane staffing requirements as a function of said checkout lane traffic forecast.

15. A computer implemented method of forecasting shopper arrival times at one or more checkout lanes in a store including a recognition system having at least one sensor to recognize shoppers as they enter the store, said method comprising the steps of:

recognizing, via said at least one sensor, shoppers who enter the store;

generating data, via said recognition system, representing the entry time of each shopper;

transmitting said entry time data to a computer;

determining, via said computer, a first distribution of shoppers as said shoppers enter the store; and

generating, via said computer, a second distribution of shoppers from said first distribution of shoppers, said second distribution being representative of a forecast of said shoppers'"'"' checkout lane arrival times.

16. The method of claim 15 wherein the step of generating a second distribution of shoppers includes the step of combining said first distribution with a statistical database.

17. A computer implemented system for forecasting checkout lane traffic in a store, said system comprising:

a recognition system including at least one sensor to recognize shoppers who enter the store during a time period of selected duration, said time period composed of time intervals of selected durations, said recognition system generating data representing the entry time interval of each of said shoppers;

a communication link between said recognition system and a computer so that said entry time interval data may be transmitted to said computer; and

said computer automatically designating a percentage of said shoppers as buyers based on a selected conversion rate, automatically assigning a shopping time to each of said buyers, and automatically establishing a checkout lane arrive time interval for each buyer based on said buyer'"'"'s entry time interval and assigned shopping time so that checkout lane traffic may be forecast.

18. The system of claim 17 wherein said shopping time is generated randomly from a frequency distribution.

19. A computer implemented system for automatically forecasting checkout lane traffic in a store, said system comprising:

(a) at least one sensor to recognize shopping activity associated with the store, said shopping activity including shoppers entering the store during a selected time period, shoppers exiting the store during a selected time period, and transactions occurring during a selected time period;

(b) a communication link between said at least one sensor and a computer so that data representing said shopping activity may be transmitted to said computer;

(c) said computer generating historical data representing historical shopping patterns for said store, said shopping patterns including the number of shoppers who enter the store over a selected time period, the percent of said shoppers who are buyers, and the shopping times for said buyers;

(d) said computer periodically updating said historical data to a current time interval; and

(e) said computer automatically generating data representing a forecast of checkout lane traffic as a function of said updated historical data.

20. The system of claim 19 wherein said at least one sensor comprises at least one sensor to recognize shoppers entering and exiting the store, and at least one sensor to recognize transactions.

21. The system of claim 20 wherein said data representing said checkout lane traffic forecast is generated in response to repeated simulations based on said updated historical data.

22. The system of claim 21 wherein said computer designates the percentage of said shoppers who are buyers based on a selected conversion rate and produces a graphic display of said checkout lane traffic forecast.

23. The system of claim 22 wherein said computer produces an updated graphic display of said checkout lane traffic forecast with each updated generation of data representing a forecast of checkout lane traffic.

24. The system of claim 23 wherein said graphic display includes a display of lane traffic for a selected historical time period.

25. The system of claim 22 wherein said computer generates data representing checkout lane staffing requirements as a function of said updated data representing a forecast of checkout lane traffic.

26. A computer implemented system for forecasting checkout lane traffic in a store, said system comprising:

a recognition system to recognize shoppers as they enter the store and to generate data representing the entry time of each of said shoppers;

a communication link between said recognition system and a computer so that said entry time data may be transmitted to said computer;

a first distribution of shoppers being determined by said computer as said shoppers enter the store; and

a second distribution of shoppers being generated by said computer, said second distribution generated from said first distribution and representative of a forecast of said shoppers'"'"' arrival times at said checkout lanes.

27. The system of claim 26 wherein said recognition system includes at least one sensor at each entryway.