Method and system for rating the role of a product category in the performance of a store area
First Claim
1. A method for rating the role of a product category in the performance of a store area based on a measurement of a set of shopper behavior metrics, comprising the following steps of:
- a) automatically tracking people in a plurality of input images captured by at least a means for capturing images that is connected to at least a means for video interface in the store area by applying a computer vision-based automatic tracking algorithm to the plurality of input images,wherein the computer vision-based automatic tracking algorithm is programmed in at least a computer, andb) utilizing the computer to perform computations for;
analyzing the behavior of the people based on a path analysis of tracks that are produced from tracking the people by executing the computer vision-based automatic tracking algorithm,measuring impression counts and impression length of the people for the product category, measuring emotion changes of the people,measuring the set of shopper behavior metrics that represent strength of a product category in attracting shoppers with respect to a group of product categories,measuring the response of the people tied to the category based on the behavior analysis, the impression counts, and the impression length, and the emotion changes,creating a plurality of datasets, stored in at least a means for storing data, by accumulating the response measurement, andanalyzing the datasets based on segmentation data of the people, including demographic groups and behavior segments,wherein the metrics is defined in a manner that is normalized so that it is used across different types of product categories and in different types of stores.
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Abstract
The present invention is a method and system for measuring a set of shopper behavior metrics that represent the strength of a product category or a group of categories in the performance of a store area. A set of rating parameters are defined in order to provide a unified and standardized rating system. The rating system represents the effectiveness of the product category in a store area. The metrics are defined in a manner that is normalized so that they can be used across different types of product categories. The datasets are measured per category or group of categories over time to identify how the strength has varied over time, and to monitor trends in the category performance. The measured datasets are further analyzed based on various demographic groups and behavior segments. The analysis facilitates a better understanding of the strength of the category for different shopper segments, which in turn can be applied for developing better store area optimization strategies.
107 Citations
28 Claims
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1. A method for rating the role of a product category in the performance of a store area based on a measurement of a set of shopper behavior metrics, comprising the following steps of:
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a) automatically tracking people in a plurality of input images captured by at least a means for capturing images that is connected to at least a means for video interface in the store area by applying a computer vision-based automatic tracking algorithm to the plurality of input images, wherein the computer vision-based automatic tracking algorithm is programmed in at least a computer, and b) utilizing the computer to perform computations for;
analyzing the behavior of the people based on a path analysis of tracks that are produced from tracking the people by executing the computer vision-based automatic tracking algorithm,measuring impression counts and impression length of the people for the product category, measuring emotion changes of the people, measuring the set of shopper behavior metrics that represent strength of a product category in attracting shoppers with respect to a group of product categories, measuring the response of the people tied to the category based on the behavior analysis, the impression counts, and the impression length, and the emotion changes, creating a plurality of datasets, stored in at least a means for storing data, by accumulating the response measurement, and analyzing the datasets based on segmentation data of the people, including demographic groups and behavior segments, wherein the metrics is defined in a manner that is normalized so that it is used across different types of product categories and in different types of stores. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. An apparatus for rating the role of a product category in the performance of a store area based on a measurement of a set of shopper behavior metrics, comprising:
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a) at least a means for capturing images that captures a plurality of input images of people in the store area, b) at least a means for video interface that is connected to the means for capturing images, c) at least a computer that is programmed to perform computations for the following steps of; automatically tracking people in the plurality of input images, which are transferred from the means for capturing images through the means for video interface, by applying a computer vision-based automatic tracking algorithm to the plurality of input images using the computer, analyzing the behavior of the people based on a path analysis of tracks that are produced from tracking the people by executing the computer vision-based automatic tracking algorithm using the computer, measuring impression counts and impression length of the people for the product category, measuring emotion changes of the people, measuring the set of shopper behavior metrics that represent strength of a product category in attracting shoppers with respect to a group of product categories, and measuring the response of the people tied to the category based on the behavior analysis, the impression counts, the impression length, and the emotion changes, and d) at least a means for storing data that stores a plurality of datasets by accumulating the response measurement, wherein the computer executes a program that analyzes the datasets based on segmentation data of the people, including demographic groups and behavior segments, and wherein the metrics is defined in a manner that is normalized so that it is used across different types of product categories and in different types of stores. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28)
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Specification