At-shelf brand strength tracking and decision analytics
First Claim
1. A method for analyzing product strength or brand strength by determining shopper decision behavior during a shopping trip, utilizing at least a camera, at least a mobile signal sensor, and at least a processor for performing the steps of:
- a. detecting the presence of a shopper at a location using an At-Door Shopper Detector module,b. tracking the movements of the shopper throughout the location using at least one camera, at least one mobile signal sensor, and a Multi-modal Shopper Tracker module, wherein the Multi-modal Shopper Tracker module further comprisesi. using a Vision tracker module to obtain a set of vision data from at a camera,ii. detecting a shopper at a specific time and location,iii. using a Mobile Tracker module to obtain a set of mobile data for the shopper using a mobile device,iv. localizing the mobile device using the MAC address using a trilateration based method,c. integrating a set of data from the Multi-modal Shopper Tracker module using a Multi-modal Shopper Data Associator, which comprises the following steps;
i. detecting the completion of at least one mobile trajectory,ii. retrieving a set of shopper profile data from the in-store shopper database, wherein the shopper profile data contains at least one vision trajectory,iii. performing matching between the at least one vision trajectory and the at least one mobile trajectory,iv. fusing vision trajectories that are associated with the same target at a given time frame using measurement fusion,v. combining the fused vision trajectories with the mobile trajectory to complete missing segments in the vision trajectories,d. calculating at least one decision factor using the Shopper Decision Tracker module,e. determining whether the shopper decision was made at-shelf or pre-shelf, based on the at least one decision factor, using a Decision Determination module, andf. analyzing the shopper decision results, aggregated across a plurality of shoppers, to derive metrics representing the strength of a product or brand of products.
12 Assignments
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Accused Products
Abstract
A method and system for analyzing product strength or brand strength by determining shopper decision behavior during a shopping trip. Specifically, shopper behavior can be analyzed to determine whether a shopper'"'"'s decision to purchase an item occurred at-shelf or pre-shelf. Aggregating decision data across many shoppers over time can then be used to generate analytics regarding the strength of a product or brand. The analysis can then be used to make recommendations to manufacturers or retailers about how to strengthen the product or brand. A deployment of cameras and mobile signal sensors can be utilized to recognize shoppers and track their behavior. Demographics information can also be estimated about the tracked shoppers. The visual and mobile signal trajectories can be fused to form a single shopper trajectory, then associated with Point of Sale (PoS) data. This results in a dataset describing the shopping trip for each tracked shopper.
365 Citations
20 Claims
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1. A method for analyzing product strength or brand strength by determining shopper decision behavior during a shopping trip, utilizing at least a camera, at least a mobile signal sensor, and at least a processor for performing the steps of:
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a. detecting the presence of a shopper at a location using an At-Door Shopper Detector module, b. tracking the movements of the shopper throughout the location using at least one camera, at least one mobile signal sensor, and a Multi-modal Shopper Tracker module, wherein the Multi-modal Shopper Tracker module further comprises i. using a Vision tracker module to obtain a set of vision data from at a camera, ii. detecting a shopper at a specific time and location, iii. using a Mobile Tracker module to obtain a set of mobile data for the shopper using a mobile device, iv. localizing the mobile device using the MAC address using a trilateration based method, c. integrating a set of data from the Multi-modal Shopper Tracker module using a Multi-modal Shopper Data Associator, which comprises the following steps; i. detecting the completion of at least one mobile trajectory, ii. retrieving a set of shopper profile data from the in-store shopper database, wherein the shopper profile data contains at least one vision trajectory, iii. performing matching between the at least one vision trajectory and the at least one mobile trajectory, iv. fusing vision trajectories that are associated with the same target at a given time frame using measurement fusion, v. combining the fused vision trajectories with the mobile trajectory to complete missing segments in the vision trajectories, d. calculating at least one decision factor using the Shopper Decision Tracker module, e. determining whether the shopper decision was made at-shelf or pre-shelf, based on the at least one decision factor, using a Decision Determination module, and f. analyzing the shopper decision results, aggregated across a plurality of shoppers, to derive metrics representing the strength of a product or brand of products. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for analyzing product strength or brand strength by determining shopper decision behavior during a shopping trip, utilizing at least a camera, at least a mobile signal sensor, and at least a processor for performing the steps of:
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a. detecting the presence of a shopper at a location using an At-Door Shopper Detector module, b. tracking the movements of the shopper throughout the location using at least one camera, at least one mobile signal sensor, and a Multi-modal Shopper Tracker module, wherein the Multi-modal Shopper Tracker module further comprises i. using a Vision tracker module to obtain a set of vision data from at a camera, ii. detecting a shopper at a specific time and location, iii. using a Mobile Tracker module to obtain a set of mobile data for the shopper using a mobile device, iv. localizing the mobile device using the MAC address using a trilateration based method, c. integrating a set of data from the Multi-modal Shopper Tracker module using a Multi-modal Shopper Data Associator which comprises the following steps; i. detecting the completion of at least one mobile trajectory, ii. retrieving a set of shopper profile data from the in-store shopper database, wherein the shopper profile data contains at least one vision trajectory, iii. performing matching between the at least one vision trajectory and the at least one mobile trajectory, iv. fusing vision trajectories that are associated with the same target at a given time frame using measurement fusion, v. combining the fused vision trajectories with the mobile trajectory to complete missing segments in the vision trajectories, d. calculating at least one decision factor using the Shopper Decision Tracker module, e. determining whether the shopper decision was made at-shelf or pre-shelf, based on the at least one decision factor, using a Decision Determination module, and f. analyzing the shopper decision results, aggregated across a plurality of shoppers, to derive metrics representing the strength of a product or brand of products. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification