Traffic based labor allocation method and system
First Claim
1. A method of distributing labor based upon determinations of traffic in a retail facility, the method being executed by at least one processor and comprising the steps of:
- (a) obtaining daily traffic forecast information for each day within a given time period;
(b) determining calendar and event information for each day within the given period;
(c) selecting baseline days for each day within the given period from historical traffic data and computing via the at least one processor baseline averages and percentages for a predetermined time interval, the historical traffic data includes both the historical traffic data of the retail facility and the historical traffic data of a similar retail facility, wherein;
for the each day within the given period, the selected baselines days are a plurality of similar weekdays of a predetermined period prior to the given period,when a holiday or event date falls on the each day within the given period, the corresponding baselines days are a plurality of similar holiday or event dates selected from a predetermined number of prior years,each of the baseline averages is computed as an average value for the predetermined time interval of the baseline days,each of the baseline percentages is computed as a portion of the baseline averages for the predetermined time interval compared to the total number of the baseline averages, andthe baseline days comprise days included in certain of the selected data that is preferentially ranked;
(d) determining the distribution of traffic for each day within the given period at each time interval using the baseline percentages for each time interval, and multiplying a value for the baseline percentages by a value for the daily traffic forecast information for the predetermined time interval in each day in the given time period;
(e) distributing labor data for the given period based on the distribution of traffic for each day within the given period,wherein the labor data distribution comprises;
obtaining minimum and maximum coverage data at the predetermined time interval, assigning for the predetermined time interval the minimum employee coverage, andcomputing remaining available employee hours; and
(f) providing labor recommendations for each day within the given period based on the preceding steps.
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Accused Products
Abstract
A method and system for distributing labor based upon determinations of traffic in a facility, such as a store. Daily traffic forecast information is obtained for each day within a given time period from a source of such information. Calendar and event information for the facility for each day within the given time period is determined. Baseline days are selected from historical traffic data, and baseline averages and percentages for a predetermined time interval are also selected. The distribution of traffic for each day within the given time period at each time interval is determined using the baseline percentages for each time interval. Labor data is distributed. Labor recommendations are provided at each time interval for the given time period based on the distribution of traffic for each day, and at least one of other user-defined workforce requirements. The results of any or all the these steps are displayed to a user.
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Citations
29 Claims
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1. A method of distributing labor based upon determinations of traffic in a retail facility, the method being executed by at least one processor and comprising the steps of:
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(a) obtaining daily traffic forecast information for each day within a given time period; (b) determining calendar and event information for each day within the given period; (c) selecting baseline days for each day within the given period from historical traffic data and computing via the at least one processor baseline averages and percentages for a predetermined time interval, the historical traffic data includes both the historical traffic data of the retail facility and the historical traffic data of a similar retail facility, wherein; for the each day within the given period, the selected baselines days are a plurality of similar weekdays of a predetermined period prior to the given period, when a holiday or event date falls on the each day within the given period, the corresponding baselines days are a plurality of similar holiday or event dates selected from a predetermined number of prior years, each of the baseline averages is computed as an average value for the predetermined time interval of the baseline days, each of the baseline percentages is computed as a portion of the baseline averages for the predetermined time interval compared to the total number of the baseline averages, and the baseline days comprise days included in certain of the selected data that is preferentially ranked; (d) determining the distribution of traffic for each day within the given period at each time interval using the baseline percentages for each time interval, and multiplying a value for the baseline percentages by a value for the daily traffic forecast information for the predetermined time interval in each day in the given time period; (e) distributing labor data for the given period based on the distribution of traffic for each day within the given period, wherein the labor data distribution comprises; obtaining minimum and maximum coverage data at the predetermined time interval, assigning for the predetermined time interval the minimum employee coverage, and computing remaining available employee hours; and (f) providing labor recommendations for each day within the given period based on the preceding steps. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. At least one computer readable medium encoded with computer-executable instructions that, when executed on a computer system, perform a method for distributing labor based upon determinations of traffic in a retail facility, the method comprising the steps of:
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(a) obtaining daily traffic forecast information for each day within a given time period; (b) determining calendar and event information for each day within the given period; (c) selecting baseline days for each day within the given period from historical traffic data and computing via the at least one processor baseline averages and percentages for a predetermined time interval, historical traffic data includes both the historical traffic data of the retail facility and the historical traffic data of a similar retail facility, wherein; for the each day within the given period, the selected baselines days are a plurality of similar weekends of a predetermined period to the given period, when a holiday or event date falls on the each day within the given period, the corresponding baselines days are a plurality of similar holiday or event dates selected from a predetermined number of prior years, each of the baseline averages is computed as an average value for the predetermined time interval of the baseline days, each of the baseline percentages is computed as a portion of the baseline averages for the predetermined time interval compared to the total number of the baseline averages, and the baseline days comprise days included in certain of the selected data that is preferentially ranked; (d) determining the distribution of traffic for each day within the given period at each time interval using the baseline percentages for each time interval, and multiplying a value for the baseline percentages by a value for the daily traffic forecast information for the predetermined time interval in each day in the given time period; (e) distributing labor data for the given period based on the distribution of traffic for each day within the given period, wherein the labor data distribution comprises; obtaining minimum and maximum coverage data at the predetermined time interval, assigning for the predetermined time interval the minimum employee coverage, and computing remaining available employee hours; and (f) providing labor recommendations for each day within the given period based on the preceding steps. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A labor distribution recommendation system based upon determinations of traffic in a retail facility, the system having at least one processor associated with a plurality of programming modules, the system comprising:
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a daily traffic forecast module adapted to receive daily traffic forecast data for each day in a given time period; a calendar and event module adapted to extract calendar and event data; a selecting baseline module adapted to select baseline days for each day of the given period from historical traffic data and compute via the at least one processor baseline averages and percentages for a predetermined time interval, the historical traffic data includes both the historical traffic data of the retail facility and the historical traffic data of a similar retail facility, wherein; for each day within the given period the selected baselines days are a plurality of similar weekdays of a predetermined period prior to the given period, wherein when a holiday date falls on the each day within the given period, the corresponding baselines days are a plurality of similar holiday dates selected from a predetermined number of prior years, each of the baseline averages is computed as an average value for the predetermined time interval of the baseline days, each of the baseline percentages is computed as a portion of the baseline averages for the predetermined time interval compared to the total number of the baseline averages, and the baseline days comprise days included in certain of the selected data that is preferentially ranked; a traffic distribution module adapted to distribute traffic for each day in the given time period at each time interval using the baseline percentages for each time interval, and multiplying a value for the baseline percentages by a value for the daily traffic forecast information for the predetermined time interval in each day in the given time period; a labor distribution adapted to distribute labor data for the given time period based on the distribution of traffic for each day within the given time period, wherein the labor data distribution comprises; obtaining minimum and maximum coverage data at the predetermined time interval, assigning for the predetermined time interval the minimum employee coverage, and computing remaining available employee hours; a recommendation module adapted to provide labor recommendations for the given time period based on the preceding data; an input device adapted to receive input information related to the given time period and to receive instructions from a user; an output device adapted to display output data from the traffic distribution module, the labor distribution module, the recommendation module, the calendar and event module, and the daily traffic forecast module; and a database module adapted to store processed data to a database. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29)
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Specification