Comparing planogram compliance to checkout data

a technology of checkout data and compliance, applied in the field of comparison of planogram compliance to checkout data, can solve the problems of non-uniform compliance among retailers and significant gaps in compliance, and achieve the effect of increasing future sales

Inactive Publication Date: 2019-08-01
TRAX TECH SOLUTIONS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0034]According to an aspect of the present disclosure, a method is disclosed for identifying products and monitoring planogram compliance using analysis of image data. The method may include accessing at least one planogram describing a desired placement of a plurality of product types on shelves of a plurality of retail stores; receiving image data from the plurality of retail stores; analyzing the image data to determine an actual placement of the plurality of product types on the shelves of the plurality of retail stores; determining at least one characteristic of planogram compliance based on detected differences between the at least one planogram and the actual placement of the plurality of product types on the shelves of the plurality of retail stores; receiving checkout data from the plurality of retail stores reflecting sales of at least one product type from the plurality of product types; estimating, based on the determined at least one characteristic of planogram compliance and based on the received checkout data, an impact of the at least one characteristic of planogram compliance on the sales of the at least one product type; based on the estimated impact, identifying an action, associated with the at least one characteristic of planogram compliance, for potentially increasing future sales of the at least one product type; and providing information associated with the identified action to an entity.

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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  • Comparing planogram compliance to checkout data
  • Comparing planogram compliance to checkout data
  • Comparing planogram compliance to checkout data

Examples

Experimental program
Comparison scheme
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first embodiment

[0147]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

[0148]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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Abstract

The present disclosure relates to systems and methods for identifying products and monitoring planogram compliance using analysis of image data. In one implementation, the method may include accessing at least one planogram describing a desired placement of a plurality of product types on shelves of a plurality of retail stores; receiving image data from the plurality of retail stores; analyzing the image data to determine an actual placement of the plurality of product types on the shelves of the plurality of retail stores; determining at least one characteristic of planogram compliance based on detected differences between the at least one planogram and the actual placement of the plurality of product types on the shelves of the plurality of retail stores; and receiving checkout data from the plurality of retail stores reflecting sales of at least one product type from the plurality of product types.

Description

CROSS REFERENCES TO RELATED APPLICATIONS[0001]This application claims the benefit of priority of U.S. Provisional Patent Application No. 62 / 615,512, filed on Jan. 10, 2018, U.S. Provisional Patent Application No. 62 / 681,718, filed on Jun. 7, 2018, and U.S. Provisional Patent Application No. 62 / 695,469, filed on Jul. 9, 2018, all of which 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 products on store shelves and add associated labe...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06Q10/08G06K9/00G06Q10/06G06Q30/02
CPCG06Q10/087G06K9/00771G06K9/00664G06Q10/0633G06Q30/0246G06Q30/0201G06V20/20G06V20/52G06V20/17G06V20/10G06T7/55G06T7/521G06T7/75G06T7/13G06T7/70G06F16/55G06F16/583G06F16/23G06F16/90335G06F16/235G06F16/288G06F16/5846G06V20/68G06V30/10G06V20/64G06V40/10G06V20/62G06V20/00G06F17/18G06Q10/06311G06Q10/063112G06Q10/06316G06Q10/0875G06Q20/203G06Q30/0629G06Q30/0639G06Q30/0643G06Q50/28G06T7/0002G06T7/20G06T2207/30196G06T2207/30232G06T2207/30242G08B21/18G08B21/182G06F18/2115H04N23/51H04N23/54H04N23/66H04N23/80H04N23/90H04N23/611
Inventor ADATO, YAIRBRONICKI, YOUVALGRUBSHTEIN, ALONPELED, GALITCOHEN, DANIEL SHIMONDAYAN, SHLOMI
Owner TRAX TECH SOLUTIONS
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