Prioritizing shelf-oriented tasks

Abstract

The present disclosure relates to systems and methods for processing images captured in a retail store and automatically addressing detected conditions within the retail store. In one implementation, the system may include a processor configured to receive a plurality of images depicting a plurality of products displayed on a plurality of store shelves; detect in the plurality of images an indicator of a first service-improvement condition relating to the plurality of products; detect in the plurality of images an indicator of a second service-improvement condition relating to the plurality of products; determine a first product-related task for addressing the first service-improvement condition; determine a second product-related task for addressing the second service-improvement condition; and access a database storing information indicative of a first employee and a second employee on duty during a time interval over which the plurality of images was received.

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...

AI Technical Summary

Benefits of technology

The present patent describes a method for analyzing image data to monitor the placement of products on shelves in retail stores. This method allows for identifying products and monitoring compliance with a planogram that describes the desired placement of different products. The method can detect differences between the actual placement of products and the planogram, and based on these differences, estimate the impact on sales of the products. Based on this analysis, the method can identify an action, such as increasing or altering the placement of a product, to potentially increase future sales. The technical effect of this patent is that it provides a way for retail stores to improve their sales by optimizing the placement of products on their shelves.

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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