Abstract: A system for reducing product shortage durations in retail stores based on analysis of image data is provided. The system may comprise: a communication interface configured to receive image data from retail stores indicative of a product shortage of a product type relative to information describing a placement of products of a product type on a store shelf; and at least one processor configured to: analyze the image data to detect occurrences of product shortages of the product type in the retail stores and determine durations associated with the occurrences; identify a common factor contributing to the duration of part of the occurrences of the product shortages; determine an action, associated with the at least one common factor, for potentially reducing product shortage durations of future shortages of the product type in the retail stores; and provide information associated with the identified action to an entity.

Abstract: A non-transitory computer-readable medium includes instructions that when executed by a processor cause the processor to perform a method for providing visual navigation assistance in retail stores, which may include receiving a first indoor location of a user within a retail store; receiving a target destination; and providing first navigation data to the user through a first visual interface. The method may also include, after providing the first navigation data, receiving a second indoor location of the user within the retail store; determining that the second indoor location is within a selected area around the target destination, with the selected area not including the first indoor location; and, in response to the determination that the second indoor location is within the selected area around the target destination, providing second navigation data to the user through a second visual interface, where the second visual interface differs from the first visual interface.

Abstract: A system for determining whether shoppers are eligible for frictionless checkout is disclosed. The system has a processor that obtains image data captured using image sensors positioned in a retail store. The processor analyzes the image data to identify at least one shopper at one or more locations of the retail store. The processor detects, based on the analysis of the image data, at least one product interaction event associated with an action of the at least one shopper at the one or more locations of the retail store. Further, based on the detected at least one product interaction event, the processor determines whether the at least one shopper is eligible for frictionless checkout. In response to a determination that the at least one shopper is ineligible for frictionless checkout, the processor causes delivery of an indicator that the at least one shopper is ineligible for frictionless checkout.

Abstract: A method for automatically updating electronic shopping lists of customers of retail stores may include accessing an electronic shopping list of a customer of a retail store, the electronic shopping list including at least one product associated with a shopping order; receiving image data from a plurality of image sensors mounted in the retail store; analyzing the image data to predict an inventory shortage of the at least one product included on the electronic shopping list, wherein the predicted inventory shortage is expected to occur prior to fulfillment of the shopping order; and automatically updating the electronic shopping list based on the predicted inventory shortage of the at least one product.

Abstract: A method for planning deployment of image sensors may include determining a location of a store shelf within a retail store and obtaining a first coverage parameter corresponding to a first product type and a second coverage parameter corresponding to a second product type. The method may also include accessing a database to determine a first height of products of the first product type and a second height of products of the second product type, and determining a position for placing a camera configured to capture images of at least a portion of the store shelf by analyzing the location of the store shelf, the first coverage parameter, the second coverage parameter, the first height, and the second height. The method may further include providing, to a user interface of a user device, information relating to the determined position of the camera.

Abstract: Methods, systems, and computer-readable media are provided for tracking frictionless shopping eligibility relative to individual shopping receptacles.

Abstract: A non-transitory computer-readable medium includes instructions that when executed by a processor cause the processor to perform a method for selecting available assignments, the method including: receiving an indication of an external assignment, wherein the external assignment is associated with one or more locations external to a plurality of retail stores; based on the indication of the external assignment, selecting a retail store among the plurality of retail stores; based on the selected retail store, selecting at least one available assignment in the selected retail store; and offering the selected at least one available assignment in the selected retail store to a user.

Abstract: Methods, systems, and computer-readable media are provided for providing a visual indicator indicative of a frictionless checkout status of at least a portion of a retail shelf. In one implementation, a method may comprise: receiving an output from one or more retail store sensors; based on the output from the one or more retail store sensors, determining a frictionless checkout eligibility status associated with the at least a portion of the retail shelf, wherein the frictionless checkout eligibility status is indicative of whether the at least a portion of the retail shelf includes one or more items eligible for frictionless checkout; and causing a display of an automatically generated visual indicator indicating the frictionless checkout eligibility status associated with the at least a portion of the retail shelf.

Abstract: A system for automatically addressing detected conditions within the retail store is provided. The system may include at least one processor configured to receive a plurality of images depicting a plurality of products displayed on a plurality of store shelves; retrieve reference data specifying a desired state of the retail store; use the reference data to detect an indicator of a first service-improvement condition; use the reference data to detect an indicator of a second service-improvement; 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; 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; and assign the first product-related task to the first employee and assign the second product-related task to the second employee.

Abstract: A non-transitory computer-readable medium includes instructions that when executed by a processor cause the processor to perform a method for selecting available assignments for users based on mobile computing devices of the user. The method includes receiving an indication of at least one parameter of a mobile computing device associated with a user; accessing a plurality of available assignments, each assignment of the plurality of available assignments involving use of at least one mobile computing device; based on the at least one parameter of the mobile computing device associated with the user, selecting a subset of the plurality of available assignments; and offering the selected subset of the plurality of available assignments to the user.

Abstract: A system for making gradual adjustments to planograms may include at least one processor. The processor may be programmed to receive a first image of a shelf; analyze the first image to determine a first placement of products on the shelf; determine a planned first adjustment to the first placement of products; and provide first information configured to cause the planned first adjustment. The processor may then receive a second image of the shelf captured after the first information was provided; analyze the second image to determine a second placement of products on the shelf; determine a planned second adjustment to the second placement of products; and provide second information configured to cause the planned second adjustment to the determined second placement of products.

Abstract: Methods, systems, and computer-readable media are provided for controlling a detail level of shopping data provided to frictionless shoppers. In one implementation, a method may comprise: receiving image data captured using one or more image sensors in a retail store; analyzing the image data to identify a plurality of product interaction events for at least one shopper in the retail store; determining shopping data associated with the plurality of product interaction events; determining a likelihood that the at least one shopper will be involved in shoplifting; based on the determined likelihood, determining an update rate for updating the at least one shopper with the shopping data; and delivering the shopping data to the at least one shopper at the determined update rate.

Abstract: A system for determining whether shoppers are eligible for frictionless checkout is disclosed. The system has a processor that obtains image data captured using image sensors positioned in a retail store. The processor analyzes the image data to identify at least one shopper at one or more locations of the retail store. The processor detects, based on the analysis of the image data, at least one product interaction event associated with an action of the at least one shopper at the one or more locations of the retail store. Further, based on the detected at least one product interaction event, the processor determines whether the at least one shopper is eligible for frictionless checkout. In response to a determination that the at least one shopper is ineligible for frictionless checkout, the processor causes delivery of an indicator that the at least one shopper is ineligible for frictionless checkout.

Abstract: A system for updating virtual shopping carts of shoppers with pay-by-weight products is disclosed. The system has a processor that receive images captured by image sensors. The images depict product interactions between a store associate and shoppers. Each product interaction involves a pay by weight product. The processor analyzes the images to identify the product interactions and associates the pay by weight product involved with each product interaction with a particular shopper among the shoppers. The processor provides a notification to the store associate requesting supplemental information for associating the pay by weight product with the particular shopper. The processor receives the requested supplemental information and uses the analysis of the images and the requested supplemental information to determine the association of the pay by weight product with the particular shopper. The processor also updates a virtual shopping cart of the particular shopper with the pay by weight product.

Abstract: Methods, systems, and computer-readable media are provided for providing a visual indicator indicative of a frictionless checkout status of at least a portion of a retail shelf. In one implementation, a method may comprise: receiving an output from one or more retail store sensors; based on the output from the one or more retail store sensors, determining a frictionless checkout eligibility status associated with the at least a portion of the retail shelf, wherein the frictionless checkout eligibility status is indicative of whether the at least a portion of the retail shelf includes one or more items eligible for frictionless checkout; and causing a display of an automatically generated visual indicator indicating the frictionless checkout eligibility status associated with the at least a portion of the retail shelf.

Abstract: Methods, systems, and computer-readable media are provided for controlling a detail level of shopping data provided to frictionless shoppers. In one implementation, a method may comprise: receiving image data captured using one or more image sensors in a retail store; analyzing the image data to detect a shopper in the retail store; determining a likelihood that the shopper will be involved in shoplifting; controlling a detail level associated with frictionless shopping data provided to the shopper based on the determined likelihood that the shopper will be involved in shoplifting.

Abstract: Methods, systems, and computer-readable media are provided for tracking frictionless shopping eligibility relative to individual shopping receptacles.

Abstract: A method for routing a cleaning robot may include receiving an indication of a store shelf of a retail store and causing a first adjustment to a cleaning robot route of a cleaning robot within the retail store based on a location within the retail store corresponding to the store shelf. The first adjustment may be configured to enable an image sensor associated with the cleaning robot to capture images of at least one portion of the store shelf. The method may also include receiving a first image of the store shelf and analyzing the first image to determine a need for a second image of the store shelf. The method may further include, in response to the determined need, causing a second adjustment to the cleaning robot route within the retail store, which may enable the image sensor to capture the second image of the store shelf.

Abstract: A system for processing images may include a processor configured to receive one or more images captured in a retail store and depicting a plurality of products displayed on at least one store shelf. The processor may also be configured to analyze the one or more images to determine at least one task associated with a store shelf. The processor may further be configured to determine an incentive for completing the at least one task based on a property of the store shelf, wherein the incentive is intended for a non-employee individual associated with the retail store. The processor may also be configured to provide an offer to at least one individual non-employee individual associated with the retail store, the offer including receiving the incentive in response to completing the at least one task.

Abstract: An apparatus for securing a camera to a retail shelving unit is disclosed. The apparatus may have a pair of opposing securing surfaces for securing the apparatus to a support element of the retail shelving unit. The pair of opposing securing surfaces may form a gap between the pair of opposing securing surfaces. The gap may be configured to accept the support element of the retail shelving unit. The apparatus may also have an arm extending from one of the pair of opposing securing surfaces and having a distal end. The distal end may have a camera support area including a least one opening.