System and method for determining recommended action based on measuring and analyzing store and employee data
First Claim
1. A computer-implemented method for measuring and analyzing store performance comprising:
- collecting transaction data of store sales activity, utilizing a plurality of available data sources, the data comprising two or more of field performance data, external, and legacy data, and training data, and including customer visit count data, the collected transaction data being indicative of store performance factors;
analyzing the collected transaction data with a computer processor to compute an aggregate synopsis of performance of a store employee as a subject under observation;
hypothesizing using the aggregate synopsis, said hypothesizing developing a hypothesis for store improvement, the hypothesis determining at least one of a plurality of recommended actions for application to the subject under observation;
applying the determined recommended actions to the subject under observation; and
measuring a change in the store performance as a result of the subject under observation applying the determined recommended actions,wherein the field performance data includes data indicative of at least one of sales per hour (SPH), dollars per transaction (DPT), units per transaction (UPT), transactions per hour (TPH), traffic conversion percentage, customer traffic count, and periodic goals,wherein the hypothesizing is performed with an expert system, andwherein the store performance factors include one or more of gross sales, return sales, net sales, sales goals, dollars per transaction, and number of transactions,wherein the determined recommended actions include improving proficiency of skills of the subject under observation.
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Accused Products
Abstract
In a retail business environment, sales employees interact with customers and generate retail sales. Employee skills, product knowledge, and performance are particularly relevant to sales generated, and hence to cash flow. Periodic assessments are typically performed to monitor the progress and growth of the business and to identify areas of strength and flag potential weaknesses. Such assessments typically take the form of sales data outlining generated revenue, for example, gross receipts or the net profit of a particular employee or store. A system for measuring and analyzing performance data including collecting data indicative of performance and analyzing the data to compute an aggregate synopsis of performance of an employee provides quantitative data for providing employee specific feedback and direction to the employee for improving performance. A hypothesis is formed from the aggregate synopsis to determine one or more actions, such as training and skill practice, directed to improving performance. The determined actions are pursued with the employee under evaluation, and a change in the performance as a result of applying the actions is measured. Measurement and analysis is repeated in an iterative manner to continually assess and develop employee skills toward increased performance and hence, increased sales.
154 Citations
55 Claims
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1. A computer-implemented method for measuring and analyzing store performance comprising:
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collecting transaction data of store sales activity, utilizing a plurality of available data sources, the data comprising two or more of field performance data, external, and legacy data, and training data, and including customer visit count data, the collected transaction data being indicative of store performance factors; analyzing the collected transaction data with a computer processor to compute an aggregate synopsis of performance of a store employee as a subject under observation; hypothesizing using the aggregate synopsis, said hypothesizing developing a hypothesis for store improvement, the hypothesis determining at least one of a plurality of recommended actions for application to the subject under observation; applying the determined recommended actions to the subject under observation; and measuring a change in the store performance as a result of the subject under observation applying the determined recommended actions, wherein the field performance data includes data indicative of at least one of sales per hour (SPH), dollars per transaction (DPT), units per transaction (UPT), transactions per hour (TPH), traffic conversion percentage, customer traffic count, and periodic goals, wherein the hypothesizing is performed with an expert system, and wherein the store performance factors include one or more of gross sales, return sales, net sales, sales goals, dollars per transaction, and number of transactions, wherein the determined recommended actions include improving proficiency of skills of the subject under observation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A computer system for analyzing employee and store performance comprising:
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a transactional data store operable to store transactional data of store sales activity from a plurality of available data sources including field performance data, external, and legacy data and training data, the stored transactional data being indicative of performance of a store and performance of a store employee as a subject under observation; an analysis engine coupled to receive the transactional data from the data store, the analysis engine operable to compute an aggregate synopsis of performance of the subject under observation from the transactional data; and a hypothesizer responsive to the analysis engine and operable to develop a hypothesis for store improvement and to determine at least one recommended action for the subject under observation from the aggregate synopsis, the at least one recommended actions directed to improving the performance of the store, wherein the field performance data includes data indicative of at least one of sales per hour (SPH), dollars per transaction (DPT), units per transaction (UPT), transactions per hour (TPH), traffic conversion percentage, customer traffic count, and periodic goals, wherein the hypothesizer comprises an expert system, and wherein the store performance is measured by one or more of gross sales, return sales, net sales, sales goals, dollars per transaction, and number of transactions, wherein the determined at least one recommended action includes improving proficiency of skills of the subject under observation. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43)
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44. A computer-implemented method for improving store productivity comprising:
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gathering transaction data of store sales activity from a plurality of available computer data sources, the data including at least one of external, and legacy data, field performance data, and training data, and including sales activity corresponding to at least one employee; analyzing the gathered transaction data with a computer processor to determine a ranking of employee performance, the gathered transaction data indicative of revenue generation and skill proficiency of each of the at least one employee; defining a set of recommended actions directed at improving store productivity as a function of the at least one employee'"'"'s skill proficiency and revenue generation; correlating the ranking with the set of recommended actions for the at least one employee; implementing, based on the correlating, at least one of the recommended actions; and measuring productivity improvement of the store resulting from the implementing of the at least one recommended actions by the at least one employee, wherein the field performance data includes data indicative of at least one of sales per hour (SPH), dollars per transaction (DPT), units per transaction (UPT), transactions per hour (TPH), traffic conversion percentage, customer traffic count, and periodic goals, wherein defining a set of recommended actions is performed by an expert system, and wherein the productivity improvement of the store is measured by one or more of gross sales, return sales, net sales, sales goals, dollars per transaction, and number of transactions, wherein the set of defined recommended actions include improving proficiency of skills of the at least one employee. - View Dependent Claims (45, 46, 47)
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48. A computer-implemented method for assessing, and improving the performance of a store comprising:
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gathering, via a sales transactional data interface, from a plurality of available computer data sources, at least one of field performance data, legacy data, training data, and transactional data, the gathered data indicative of the revenue generating performance of at least one subject employee; aggregating and storing, via a data store, the gathered transactional data; generating, via an analysis engine having a processor, quantitative reports indicative of aggregate revenue generating performance of the at least one subject employee; determining, based on the quantitative reports and a performance range, a performance ranking corresponding to the at least one subject employee; identifying, via a hypothesizer for improving store performance, areas for improvement for the at least one subject employee based on the performance ranking; mapping, via a qualitative mapping engine, the identified areas for improvement into a predetermined list of recommended actions for the at least one employee, the recommended actions for at least improving proficiency of skills; implementing, via a learning center, the mapped recommended actions by the at least one employee; and measuring, via subsequently gathered transactional data, the effect of the mapped recommended actions on the revenue generating performance of the at least one employee and the store, wherein the field performance data includes data indicative of at least one of sales per hour (SPH), dollars per transaction (DPT), units per transaction (UPT), transactions per hour (TPH), traffic conversion percentage, customer traffic count, and periodic goals, wherein the hypothesizer comprises a rule-based expert system, and wherein the effect on the revenue generating performance is measured by one or more of gross sales, return sales, net sales, sales goals, dollars per transaction, and number of transactions. - View Dependent Claims (49, 50, 51, 52, 53, 54)
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55. A system for analyzing employee and store performance data comprising:
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means for utilizing a plurality of available computer generated data and gathering therefrom sales transaction data indicative of store performance factors; means for analyzing the gathered sales transaction data to compute an aggregate synopsis of performance of a store employee as a subject under observation; means for hypothesizing the improvement in store performance based on the computed aggregate synopsis, said hypothesizing means further determining at least one of a plurality of recommended actions to be applied to the subject under observation; means for applying the determined recommended actions to the subject under observation; and means for measuring a change in the performance of the store as a result of application of the determined recommended actions, wherein the sales transaction data includes data indicative of at least one of sales per hour (SPH), dollars per transaction (DPT), units per transaction (UPT), transactions per hour (TPH), traffic conversion percentage, customer traffic count, and periodic goals, wherein the means for hypothesizing comprises an expert system, and wherein the change in the performance of the store is measured by one or more of gross sales, return sales, net sales, sales goals, dollars per transaction, and number of transactions, wherein the at least one of a plurality of determined recommended actions include improving proficiency of skills of the subject under observation.
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Specification