Dynamic planograms in a retail store

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...

AI Technical Summary

Benefits of technology

[0030]In an embodiment, a system processing images captured in a retail store and automatically determining options for store execution based on shelf capacity may comprise at least one processor. The at least one processor may be configured to receive a set of images captured during a period of time, wherein the set of images depict a first plurality of products from a particular product type displayed on a shelving unit in a retail store, and analyze the set of images to identify a portion of the shelving unit associated with the particular product type. The at least one processor may further determine a product capacity for the portion of the shelving unit dedicated to the particular product type, wherein the determined product capacity is greater than a number of the first plurality of products depicted in the set of images and access stored data about a second plurality of products from the particular product type, wherein each of the second plurality of products is located separately from the shelving unit when the period of time ends. The at least one processor may then use the product capacity for the portion of the shelving unit dedicated to the particular product type and the accessed data to generate at least one suggestion for improving store execution and provide the at least one suggestion for improving store execution.

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.

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