Selectively withholding alerts in one retail store in response to events in other retail stores

Pending Publication Date: 2021-12-23
TRAX TECH SOLUTIONS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patent describes a system and method for analyzing images captured in a retail store to determine options for improving store execution based on shelf capacity. The system or method can identify a portion of the shelving unit dedicated to a particular product type and determine the product capacity for that portion. It can then access data about a second plurality of products from the same type, which are located separately from the shelving unit. Based on the determined product capacity and the accessed data, the system or method can suggest options for improving store execution, such as rearranging products or adding new displays. This can help improve the overall sales and customer experience in the retail store.

Problems solved by technology

Such a monitoring technique, however, may be inefficient and may result in nonuniform compliance among retailers relative to various product-related guidelines.
This technique may also result in significant gaps in compliance, as it does not allow for continuous monitoring of dynamically changing product displays.

Method used

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  • Selectively withholding alerts in one retail store in response to events in other retail stores
  • Selectively withholding alerts in one retail store in response to events in other retail stores
  • Selectively withholding alerts in one retail store in response to events in other retail stores

Examples

Experimental program
Comparison scheme
Effect test

first embodiment

[0146]With reference to FIG. 4B and consistent with the present disclosure, server 135 may receive image data captured by users 120. In a first embodiment, server 135 may receive image data acquired by store employees. In one implementation, a handheld device of a store employee (e.g., capturing device 125D) may display a real-time video stream captured by the image sensor of the handheld device. The real-time video stream may be augmented with markings identifying to the store employee an area-of-interest that needs manual capturing of images. One of the situations in which manual image capture may be desirable may occur where the area-of-interest is outside the fields of view of a plurality of cameras fixedly connected to store shelves in aisle 400. In other situations, manual capturing of images of an area-of-interest may be desirable when a current set of acquired images is out of date (e.g., obsolete in at least one respect) or of poor quality (e.g., lacking focus, obstacles, l...

second embodiment

[0147]In a second embodiment, server 135 may receive image data acquired by crowd sourcing. In one exemplary implementation, server 135 may provide a request to a detected mobile device for an updated image of the area-of-interest in aisle 400. The request may include an incentive (e.g., $2 discount) to user 120 for acquiring the image. In response to the request, user 120 may acquire and transmit an up-to-date image of the area-of-interest. After receiving the image from user 120, server 135 may transmit the accepted incentive or agreed upon reward to user 120. The incentive may comprise a text notification and a redeemable coupon. In some embodiments, the incentive may include a redeemable coupon for a product associated with the area-of interest. Server 135 may generate image-related data based on aggregation of data from images received from crowd sourcing and from images received from a plurality of cameras fixedly connected to store shelves. Additional details of this embodime...

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PUM

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Abstract

Systems and methods for coordinating actions across two or more retail stores are provided. In one implementation, at least one processor is configured to receive first image data captured from a first retail store; analyze the first image data to identify a first planogram incompliance event for a shelf of the first retail store; generate an instruction for an employee to perform a remedial action; acquire and store feedback from the employee; receive second image data captured from a second retail store; analyze the second image data to identify a second planogram incompliance event for a shelf of the second retail store; determine that the shelves of the first and second retail stores are related: access the feedback from the employee; use the feedback in determining what action to take in response to the second planogram incompliance event; and initiate an action based on the determination.

Description

CROSS REFERENCES TO RELATED APPLICATIONS[0001]This application claims the benefit of priority of U.S. Provisional Application No. 62 / 814,339, filed Mar. 6, 2019; U.S. Provisional Application No. 62 / 829,160, filed Apr. 4, 2019; U.S. Provisional Application No. 62 / 872,751, filed Jul. 11, 2019; and U.S. Provisional Application No. 62 / 879,565, filed Jul. 29, 2019. The foregoing applications are incorporated herein by reference in their entirety.BACKGROUNDI. Technical Field[0002]The present disclosure relates generally to systems, methods, and devices for identifying products in retail stores, and more specifically to systems, methods, and devices for capturing, collecting, and automatically analyzing images of products displayed in retail stores for purposes of providing one or more functions associated with the identified products.II. Background Information[0003]Shopping in stores is a prevalent part of modern daily life. Store owners (also known as “retailers”) stock a wide variety of...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q10/08G06T7/00
CPCG06Q30/0639G06Q30/0641G06T2207/30232G06T7/001G06Q10/087G06Q30/00G06Q10/06313G06Q10/06315G06T7/70G06Q30/0201H04N7/181H02J7/0048H02J7/00036H02J7/0013H02J7/0068H02J9/06H04N7/18G06V20/13G06Q10/06312G06Q10/06375G06V20/00G06Q30/0223G06V20/20G06V20/52G06Q30/0207G06Q30/0242G06Q30/0261G06V30/10G06Q20/208G06Q30/0643G06F18/21H04N23/51H04N23/54H04N23/65
Inventor ADATO, YAIRTAIG, RAN
Owner TRAX TECH SOLUTIONS
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