METHOD AND APPARATUS FOR IDENTIFYING CUSTOMER BEHAVIORAL TYPES FROM A CONTINUOUS VIDEO STREAM FOR USE IN OPTIMIZING LOSS LEADER MERCHANDIZING
First Claim
1. A computer implemented method for optimizing loss leader merchandizing, the computer implemented method comprising:
- parsing event data to identify physical patterns of customer behavior, wherein the event data is derived from a continuous video stream captured at a retail facility;
associating the physical patterns of customer behavior with customer profile data to form dynamic customer profiles;
analyzing the dynamic customer profiles to identify types of customers; and
presenting, to customers of a selected customer type, marketing incentives for a set of loss leader items, wherein the set of loss leader items are selected based on the dynamic profiles.
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Abstract
A computer implemented method, apparatus, and computer usable program product for optimizing loss leader merchandizing. The process parses event data to identify physical patterns of customer behavior, wherein the event data is derived from a continuous video stream captured at a retail facility, and associates the physical patterns of customer behavior with customer profile data to form dynamic customer profiles. The process then analyzes the dynamic customer profiles to identify types of customers and presents marketing incentives for a set of loss leader items to customers of a selected customer type, wherein the set of loss leader items are selected based on the dynamic profiles.
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Citations
20 Claims
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1. A computer implemented method for optimizing loss leader merchandizing, the computer implemented method comprising:
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parsing event data to identify physical patterns of customer behavior, wherein the event data is derived from a continuous video stream captured at a retail facility; associating the physical patterns of customer behavior with customer profile data to form dynamic customer profiles; analyzing the dynamic customer profiles to identify types of customers; and presenting, to customers of a selected customer type, marketing incentives for a set of loss leader items, wherein the set of loss leader items are selected based on the dynamic profiles. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer program product comprising:
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a computer usable medium including computer usable program code for optimizing loss leader merchandizing, the computer program product comprising; computer usable program code for parsing event data to identify physical patterns of customer behavior, wherein the event data is derived from a continuous video stream captured at a retail facility; computer usable program code for associating the physical patterns of customer behavior with customer profile data to form dynamic customer profiles; computer usable program code for analyzing the dynamic customer profiles to identify types of customers; and computer usable program code for presenting, to customers of a selected customer type, marketing incentives for a set of loss leader items, wherein the set of loss leader items are selected based on the dynamic profiles. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A system for optimizing loss leader merchandizing, the system comprising:
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a database, wherein the database stores event data collected by a set of sensors; and an analysis server, wherein the analysis server parses the event data to identify physical patterns of customer behavior, wherein the event data is derived from a continuous video stream captured at a retail facility;
associates the physical patterns of customer behavior with customer profile data to form dynamic customer profiles;
analyzes the dynamic customer profiles to identify types of customers; and
presents, to customers of a selected customer type, marketing incentives for a set of loss leader items, wherein the set of loss leader items are selected based on the dynamic profiles. - View Dependent Claims (20)
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Specification