Videomining Corporation

Priya Baboo

Rajeev Sharma

Namsoon Jung

Varij Saurabh

Satish Mummareddy

Jeff Hershey

The present invention is a method and system for capturing a dataset over time that represents the response of shoppers to a set of marketing and merchandising stimuli or 'elements'. The response includes exposure metrics, engagement metrics and conversion metrics for different shopper segments. The shopper segments may be defined by demographics such as gender, age and ethnicity or by the type of trip, such as a quick trip or a fill-up trip. The system comprises a plurality of means for capturing images, such as cameras, covering the area of interest in the vicinity of the marketing or merchandising element. The method comprises automated and semi-automated analysis of the video to extract the shopper behavior and demographics data for computing the defined metrics. The captured data can be further combined with information such a promotions and advertisement outside the store to further enhance the applications of the data collected in-store from the invention. The captured shopper data can be used for many applications such as comparison of the effectiveness of different marketing elements or the relative effectiveness of different types of promotions, variation of the relative effectiveness of different marketing elements over time or differences between the relative effectiveness of a marketing element for different demographic segments.

Method and system for collecting shopper response data tied to marketing and merchandising elements

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.

Method and system for rating the role of a product category in the performance of a store area

The present invention is a method and system for measuring packaging effectiveness based on video-based analysis of people in the vicinity of a plurality of package concepts. The present invention measures the response of people to the different packaging concepts, wherein the quantified response measurement shows the ability of the packaging concepts to attract, engage, and motivate people to purchase. The video-based analysis comprises behavior analysis, demographic analysis, and emotion change detection in response to the package effectiveness. The present invention captures a plurality of input images of the people in the vicinity of a plurality of package concepts by a plurality of means for capturing images. The plurality of input images is processed in order to understand the effectiveness of packaging design and changes. The processes are based on a novel usage of a plurality of computer vision technologies to analyze the visual characterization of the people from the plurality of input images in relation to the packaging design and changes.

Method and system for measuring packaging effectiveness using video-based analysis of in-store shopper response

The present invention is a system and method for determining the hierarchical purchase decision process of consumers in front of a product category. The decision path of consumers is obtained by combining behavior data with the category layout and transaction data based on observed actual in-store purchase behavior using a set of video cameras and software for extracting sequence and timing of each consumer's decision process. A hierarchical decision tree structure comprises nodes and edges, wherein a node represents the state-of-mind of the consumer, the number of nodes is predefined, and an edge represents the transition of the decision. The decisions for each product group are captured down to the product attribute level and analyzed by demographic group. The outcome provides relative importance of each product attribute in the purchase decision process, and helps retailers and manufacturers to evaluate the layout of the category and customize it for key segment.

Method and system for building a consumer decision tree in a hierarchical decision tree structure based on in-store behavior analysis

The present invention is a method and system for automatically analyzing a category in a plurality of the categories in a physical space based on the visual characterization, such as behavior analysis or segmentation, of the persons with regard to the category. The present invention captures a plurality of input images of the persons in the category by a plurality of means for capturing images. The present invention processes the plurality of input images in order to understand the shopping behavior of the persons with the sub-categories of the category and analyzes the level of engagement and decision process at the sub-category level. The processes are based on a novel usage of a plurality of computer vision technologies to analyze the visual characterization of the persons from the plurality of input images. The physical space may be a retail space, and the persons may be customers in the retail space.

Growing community of inventors

State College, PA, United States of America

Priya Baboo