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Dynamic planograms in a retail store

a planogram and retail store technology, applied in the field of dynamic planograms in retail stores, can solve the problems of non-uniform compliance among retailers and significant gaps in compliance, and achieve the effect of improving store execution and improving store execution

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

The patent is about a system and method for analyzing images captured in a retail store to determine options for improving store execution. The system receives a set of images of products displayed on shelves and identifies the portion of the shelves dedicated to each product type. It then determines the capacity of the "dedicated" portion of the shelves for each product type and accesses data about a separate group of products from the same type. The system uses this information to generate suggestions for improving store execution, such as adding more shelves or adjusting inventory levels. Overall, the system makes it easier to gather data and make informed decisions in order to optimize store performance.

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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  • Dynamic planograms in a retail store
  • Dynamic planograms in a retail store
  • Dynamic planograms in a retail store

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, le...

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 embodimen...

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PUM

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Abstract

A method may include analyzing first images to determine an actual placement of first products displayed on shelves of a retail store; determining a deviation of an actual placement of some of the first products from the desired placement of products associated with a first planogram; receiving second images; analyzing the second images to determine an actual placement of the second products displayed on the shelves; identifying a deviation of the actual placement of some of the second products from the desired placement of products associated with the first planogram; using the second planogram to determine whether an arrangement associated with a second products conforms to the second planogram rather than to the first planogram; and when the arrangement associated with the second products conforms to the second planogram, withholding issuance of a notification indicating a deviation relative to the first planogram.

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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Patent Type & Authority Applications(United States)
IPC IPC(8): G06Q10/08G06Q10/06G06Q30/02G06T7/70H04N5/225H04N7/18
CPCG06Q10/087G06Q10/06315G06Q30/0201G06T2207/30232H04N5/2253H04N7/181G06T7/70G06Q30/00G06Q10/06313H02J7/0048H02J7/00036H02J7/0013H02J7/0068H02J9/06H04N7/18G06V20/13G06Q10/06312G06Q10/06375G06V20/00G06Q30/0223G06V20/20G06V20/52G06Q30/0639G06Q30/0641G06T7/001G06Q30/0207G06Q30/0242G06Q30/0261G06V30/10G06Q20/208G06Q30/0643G06F18/21H04N23/51H04N23/54H04N23/65G06N20/00G06V10/751G06V2201/07G06Q20/203G06T7/0006G06T2207/10016G08B13/19632G08B13/19641
Inventor ADATO, YAIRCOOK, MARK
Owner TRAX TECH SOLUTIONS