A system is disclosed including beacons and sensors that are incorporated in point-of-purchase displays and other in-store displays. The beacons and sensors detect signals from mobile devices to activate sensory stimuli incorporated into the displays.

In some embodiments, apparatuses and methods are provided herein useful to automatically recommending an item. In some embodiments, there is provided a system for automatically recommending an item to a customer comprising a plurality of items available for purchase; a portable electronic device configured to obtain identifying data corresponding to a first item collected by a user; and a control circuit configured to receive data associated with the first item; determine a location in the retail store of the first item; identify one or more items previously purchased by the user that are located within a threshold proximity to the location; determine a most frequently bought item of the identified one or more items; and cause a portable electronic device to display a suggestion for the user to collect the most frequently bought item and add the most frequently bought item to an electronic shopping list of items to purchase.

A system, method and computer readable medium for dynamically determining location-based rules affecting item sales at POS registers for a particular location and for distributing the location-based rules to the POS registers is discussed. A location-based ruleset of rules regulating sales of items at an individual store is created and transmitted to the store along with a rule group to item map file that maps rules and warnings to individual store items. A rules engine at the store provides updated item sale rules and warnings to POS registers based on the location-based ruleset and rule group to item map file. Embodiments thus provide an improved system for updating POS registers at different store locations with location-based rules specific to the store location.

In an approach for suggesting an item to pack, a processor receives an indication that a user is packing a first item of luggage, wherein the indication includes information about a trip. A processor generates a packing list based on the information about the trip. A processor receives a request to link the first item of luggage and a second item of luggage for the trip. A processor links the first and second items of luggage such that contents of each item of luggage are jointly compared to the packing list. A processor receives, via a short-range point-to-point communication reader of the first item of luggage, a signal from a short-range point-to-point communication device operably affixed to a first item. A processor identifies the first item based on the signal. A processor determines that the first item is an item of the packing list.

In some embodiments, methods and systems are provided that permit a customer to purchase products from a retailer and elect an option for a friend or family member of the customer to pick up the ordered products from the retail facility of the retailer associated with the geographic location of the customer. If the friend or family member of the customer agrees to pick up the products for the customer, and if the customer agrees to have the selected friend or family member of the customer pick up the products for the customer, the friend or family member is allowed to pick up the products at the retail facility associated with the geographic location of the customer. The customer is then allowed to either pick up the products from such a friend or family member or the friend or family member may deliver the products to the customer.

Systems and methods electronically provide information regarding digital rules related to a potential relationship instance. Users often wish to know which digital rules apply to a specified item before engaging in a relationship instance with a host entity regarding the item. The system and methods described herein allow a computing facility to identify an item and receive resource information related to the item and the digital rules applicable to the item.

An online concierge shopping system identifies recipes to users to encourage them to include items from the recipes in orders. The online concierge system maintains user embeddings for users and recipe embeddings for recipes. For users who have not placed orders, recipes are recommended based on global user interactions with recipes. Users who have previously ordered items from recipes are suggested recipes selected based on a similarity of their user embedding to recipe embeddings. Users who have purchased items but not from recipes are compared to a set of similar users based on the user embeddings, and recipes with which users of the set of similar users interacted are used for identifying recipes to the users. A recipe graph may be maintained by the online concierge system to identify similarities between recipes for expanding candidate recipes to suggest to users.

A system includes location indicators, a central computing system, and a mobile scanning device. The location indicators transmit location signals and are arranged in a store that includes stocked items. The central computing system stores an item association table that maps location values to the stocked items. The location values indicate locations of the stocked items in the store. The mobile scanning device receives ordered items from the central computing system, detects location signal(s), and determines a first location value based on the detected location signal(s). The mobile scanning device arranges the ordered items on a display based on the first location value, scans a first ordered item, and transmits data to the central computing system indicating that the first ordered item is associated with the first location value. The central computing system updates the item association table based on the data.

A product identification apparatus (20) includes an acquisition unit (210), an image processing unit (220), and a storage processing unit (230). The acquisition unit (210) acquires an image generated by an image capturing apparatus 10. The image includes a product shelf (40) and a product (50). The image processing unit (220) determines a position where continuity of the product shelf (40) is broken by processing the image acquired by the acquisition unit (210), and divides the product shelf (40) into a unit region by using the position. Further, the image processing unit (220) determines a kind and a product name of the product (50) by processing the image acquired by the acquisition unit (210). The storage processing unit (230) causes a storage unit (240) to store product identification information of the product (50) located in the unit region, for each unit region of the product shelf (40).

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.