US5557513A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Checkout lane alert system and method for stores having express checkout lanes
Assignee: ShopperTrak RCT LLC
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Filing: 1994-06-17
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Granted: 1996-09-17
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Expires: 2014-06-17
Abstract
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 pregathered 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. The system of the present invention is adapted for use in stores having express and non-express checkout lanes.
Inventors
- 👤 Ronald G. Frey
- 👤 John D. Nelson
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-03 02:16
CPC Classifications
G; G06; G06Q; G06Q30/00; G06Q30/06; G06Q10/00; G06Q10/06; G06Q10/063; G06Q10/0631; G06Q20/00; G06Q20/08; G06Q20/20; G06Q30/02; G07; G07C; G07C1/00; G07G; G07G1/00; G07G1/0036; G07G3/00; G08; G08B; G08B29/00; G08B29/18; G08B29/20; G08B29/24
Claims Analysis
Total Claims: 13
Claim 1
Independent Claim
251 words
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 store including at least one express checkout lane, 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 to each of said buyers, via said computer, a randomly selected number of purchase items in accordance with a frequency distribution curve of items purchased; (f) calculating, via said computer, from each randomly selected number of purchase items, a shopping time to be assigned to the corresponding buyer; (g) establishing, via said computer, a checkout lane arrival time for each of said buyers based on the buyers's entry time interval and assigned shopping time; and (h) determining, via said computer, the eligibility of each of said buyers for express lane checkout in accordance with the corresponding number of purchase items assigned to each of said buyers; (i) assigning, via said computer, at least a fraction of said buyers eligible for express lane checkout to an express checkout lane.
Claim 2
Dependent Claim
251 words
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 store including at least one express checkout lane, 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 to each of said buyers, via said computer, a randomly selected number of purchase items in accordance with a frequency distribution curve of items purchased; (f) calculating, via said computer, from each randomly selected number of purchase items, a shopping time to be assigned to the corresponding buyer; (g) establishing, via said computer, a checkout lane arrival time for each of said buyers based on the buyers's entry time interval and assigned shopping time; and (h) determining, via said computer, the eligibility of each of said buyers for express lane checkout in accordance with the corresponding number of purchase items assigned to each of said buyers; (i) assigning, via said computer, at least a fraction of said buyers eligible for express lane checkout to an express checkout lane.
Claim 3
Dependent Claim
40 words
The method of claim 1 and further comprising the step of forecasting, via said computer, checkout lane traffic for a forecast period from the checkout lane arrival times and the fraction of said buyers assigned to an express checkout lane.
Claim 4
Dependent Claim
31 words
The method of claim 1 and further comprising the steps of repeating steps (d) through (i) to provide multiple simulations and forecasting checkout lane traffic as a function of said simulations.
Claim 5
Dependent Claim
31 words
The method of claim 2 and further comprising the steps of repeating steps (d) through (i) to provide multiple simulations and forecasting checkout lane traffic as a function of said simulations.
Claim 6
Dependent Claim
38 words
The method of claim 4 and further comprising the step of determining checkout lane staffing requirements, via said computer, from data generated as a function of a weighted average of the checkout lane arrival times of said buyers.
Claim 7
Dependent Claim
27 words
The method of claim 5 wherein different average wait time criteria for express and non-express checkout lanes are used to determine the respective checkout lane staffing requirements.
Claim 8
Dependent Claim
36 words
The method of claim 3 wherein, in each of the repetitions of steps (d) through (i), different randomly selected numbers of items purchased and correspondingly computed shopping times are assigned to corresponding ones of the buyers.
Claim 9
Dependent Claim
36 words
The method of claim 4 wherein, in each of the repetitions of steps (d) through (i), different randomly selected numbers of items purchased and correspondingly computed shopping times are assigned to corresponding ones of the buyers.
Claim 10
Dependent Claim
23 words
The method of claim 2 further comprising the step of producing, via said computer, a graphic display of said checkout lane traffic forecast.
Claim 11
Independent Claim
160 words
A system for forecasting checkout lane traffic in a store having at least one express checkout lane, said system comprising: a recognition system including at least one sensor to recognize shoppers who enter the store during a time period of selected durations, said recognition system generating data representing the entry time interval of each of said shoppers; a communications link between said recognition system and a computer so that said entry time interval data may be transmitted to a computer; and said computer automatically designating a percentage of said shoppers as buyers based on a selected conversion rate and assigning a number of items purchased and a corresponding shopping time to each buyer, and automatically establishing, (a) a checkout lane arrival time interval based upon said buyer's entry time interval and assigned shopping time; and (b) a checkout lane type of express or non-express, based upon said buyer's number of items purchased; so that checkout lane traffic may be forecast.
Claim 12
Independent Claim
160 words
A system for forecasting checkout lane traffic in a store having at least one express checkout lane, said system comprising: a recognition system including at least one sensor to recognize shoppers who enter the store during a time period of selected durations, said recognition system generating data representing the entry time interval of each of said shoppers; a communications link between said recognition system and a computer so that said entry time interval data may be transmitted to a computer; and said computer automatically designating a percentage of said shoppers as buyers based on a selected conversion rate and assigning a number of items purchased and a corresponding shopping time to each buyer, and automatically establishing, (a) a checkout lane arrival time interval based upon said buyer's entry time interval and assigned shopping time; and (b) a checkout lane type of express or non-express, based upon said buyer's number of items purchased; so that checkout lane traffic may be forecast.
Claim 13
Dependent Claim
18 words
The system of claim 10 wherein said number of items purchased is generated randomly from a frequency distribution.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1999-09-17 | 2000-03-18 | 2000-09-17 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2003-09-17 | 2004-03-18 | 2004-09-17 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2007-09-17 | 2008-03-18 | 2008-09-17 | $7700.00 | Window Closed / Lapsed |