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Providing low-stock alerts based on product facing events

a technology for product facing events and low-stock alerts, which is applied in the direction of instruments, television systems, image enhancement, etc., can solve the problems of significant gaps in compliance and non-uniform compliance among retailers, and achieve the effect of improving store execution and improving store execution

Inactive 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 text describes a system and method for analyzing images captured in a retail store to determine the capacity of the store and suggest options for improving store execution. The system receives a set of images depicting products on the store's shelves and identifies the portion of the shelves associated with each product type. It then determines the number of products in each set of images and accesses data about other products from the same category. Using this data, the system suggests ways to improve the store's execution based on its capacity for each product type. Overall, this technology helps optimize product placement and increase efficiency in retail stores.

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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  • Providing low-stock alerts based on product facing events
  • Providing low-stock alerts based on product facing events
  • Providing low-stock alerts based on product facing events

Examples

Experimental program
Comparison scheme
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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

A system for processing images captured in a retail store and automatically generating low-stock alerts includes at least one processor configured to: receive image data associated with images captured during a first period of time by one or more image capturing devices mounted in the retail store; analyze the image data to identify a restocking event, at least one facing event, and a low-stock event; determine a demand pattern for products from the specific product type based on the identified restocking event, the at least one facing event, and the low-stock event; receive additional image data associated with images captured during a second period of time, subsequent to the low-stock event; based on the additional image data and the determined demand pattern, predict when a next low-stock event will occur; and generate an alert associated with the predicted next low-stock event.

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): G06Q10/08G06Q10/06G06Q30/02G06K9/00
CPCG06Q10/087G06K9/00624G06Q30/0223G06Q10/06315G06Q30/00G06Q10/06313G06T7/70G06Q30/0201G06T2207/30232H04N7/181H02J7/0048H02J7/00036H02J7/0013H02J7/0068H02J9/06H04N7/18G06V20/13G06Q10/06312G06Q10/06375G06V20/00G06V20/20G06V20/52G06Q30/0639G06Q30/0641G06T7/001G06Q30/0207G06Q30/0242G06Q30/0261G06V30/10G06Q20/208G06Q30/0643G06F18/21H04N23/51H04N23/54H04N23/65G06N20/00G06V10/751G06V2201/07G06Q20/203G06T7/0006G06T2207/10016G08B13/19632G08B13/19641
Inventor ADATO, YAIRHEMED, NIRDAYAN, SHLOMITAIG, RANGRUBSHTEIN, ALON
Owner TRAX TECH SOLUTIONS