Abstract: Disclosed herein are embodiments for processing an information screen to enable filtering of another information screen. Embodiments operate by identifying a UI element code in the information screen based on a parameter data structure. The embodiments request a set of filter responses from a database based on the parameter data structure. The embodiments generate a set of UI elements that are each configured to perform a first action performed by the UI element code. Each UI element is further configured to perform a second action comprising filtering the other information screen using one of the set of filter responses. The embodiments then present the information screen with the generated set of UI elements to enable filtering of the other information screen.

Abstract: The disclosed technology includes a computer-implemented technique for predicting or estimating physical attributes of products depicted in images is disclosed. The method includes receiving one or more images—either photographs of real-world products or synthetic images generated from user-provided descriptions—processing the images using one or more machine learning (ML) models trained to detect and measure physical characteristics, and predicting or estimating measures such as volume, weight, and dimensions. The system can identify product categories, select appropriate ML models, and generate natural language descriptions of predicted attributes for user display. Training datasets may include both real and synthetic images with known attributes, and user feedback can be incorporated to improve model accuracy.

Abstract: The integration of preparation and production of the product, labeling, payment, and storage of individual recipes and name is facilitated under a principal brand and shipped directly to the customer. The selected product is made according to customer specific ingredient selections. The selected product may be a personalized or private-label branded cosmetic where the branded packaging or packaging label is similarly contemporaneously created. The automated manufacturing cell receives each relevant specific selected formulation ingredients are combined and filled into the selected the private labeled branded product packaging to create the finished product.

Abstract: There are provided systems and methods for a network of personalized devices determining data for shopping predictions. A personalized device may include processing components for determining purchase predictions for one or more items to purchase on behalf of a user. The purchase predictions may be based on personality traits and other information that may indicate interests of the user. The purchase predictions may also be based on purchase information for the item, including inventory of the item, price of the item, availability of the item to the user, or other factor. Once the purchase prediction is determined, the personalized device may generate a purchase request for the item from a merchant having the item at a physical merchant location accessible to the personalized device or a delivery device associated with the personalized device. The personalized device may retrieve and deliver the purchased item.

Abstract: An example operation includes one or more of: determining a degradation of a battery of each vehicle in a group of electric vehicles, wherein the degradation is at a rate greater than a threshold; determining a return when the degradation is lowered; and providing a portion of the return to each of the vehicles in the group, wherein the portion is commensurate with the lowering.

Abstract: Described is a product placement verification system. The system includes a server having a memory storing store information, including at least one shelving video or photography of travel up and down aisles of a store recorded by a camera system. The system also includes a user computing device coupled to the server. The system allows a user to virtually navigate aisles in a store through the user computing device accessing the system and the stored shelving video or photography. The user may select items and the system determine location of the selected item within the store, including shelf height and slot width. The server may be programmed to provide a product placement report to the user computing device.

Abstract: For each potential retail store of interest indicated by a customer in the store selection, an electronic connection is made between a computer application operated by the customer and an electronic accounting system of each retail store. The electronic accounting system is adjusted in real-time by events occurring at the retail store. Contents of the electronic accounting system are visible, accessible, and adjustable by the computer application in real time. Various other actions can occur such as displaying customer avatars and offering suggestions to customers.

Abstract: A system includes a millimeter (MM) wave radar detector, where the MM wave radar detector generates signal data associated with a person of interest (POI) within a field of view of the MM wave radar detector. The system further includes an Access Point (AP) coupled with the MM wave radar detector. The AP includes a computing device to receive and analyze the signal data provided by the MM wave radar detector to determine a movement of the POI within an environment, and facilitate generation of a feedback response in response to the determined movement or action of the POI within the environment.

Abstract: A search module for an online concierge system executes searches in response to a search query with respect to item databases of retailers. The search module dynamically configures a recall set size that controls a number of search results returned for a search query based in part on a query entropy representing an estimated breadth of the search term. The query entropy may be determined relative to a diversity of items in a retailer's database. The recall set size may be configured relative to the query entropy in a manner that manages a tradeoff between latency of search execution and search result quality.

Abstract: An approached is disclosed that selectively replaces physical objects with virtual objects viewable in augmented reality. Selective replacement is based on user location and corresponding preferences mapped to location clusters. AI systems learn user preferences for location clusters and derive object preferences for users depending on location. Preferences and priorities for objects within each location cluster are derived using location data, purchase histories, IoT data, social media, communication data and other data sources. AI systems implement algorithms to predict levels of engagement between users and objects of a particular location cluster and as objects around the user are predicted to be uninteresting to the user, uninteresting objects may be replaced within AR environments using AR image overlay techniques with new objects having an interest rating above a threshold level.

Abstract: A system for rapid bionic entity fitting sampling includes: a processing system; a fitting robot, a shooting component, and a server, all communicatively connected to the processing system; the processing system is configured to obtain a reservation order issued by a user, adjust a body shape of the fitting robot wearing a target garment according to the reservation order, so that the fitting robot wearing the target garment is in a target body shape, and control the shooting component to operate under the target body shape; the shooting component is configured to perform a 360-degree imaging of the fitting robot wearing the target garment to generate an image set corresponding to the target body shape; the processing system is further configured to upload all image sets corresponding to each target garment across all the target body shapes to the server for user access.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to providing item information to customers. In some embodiments, a system for providing item information to customers in an online retail environment comprises a data store configured to store states of items, a user device, and a control circuit configured to receive, from backend systems, nonevent item information for a first item including pricing associated with a nonevent for the first item, receive from the backend systems, event item information for the first item including pricing information associated with an event for the first item and temporal information associated with the event, pregenerate, based on the nonevent item information, a nonevent state of the first item, pregenerate, based on the event item information, an event state of the first time, and transmit, for storage in the data store, the nonevent and event states of the first item.

Abstract: In some embodiments, a computer-implemented method for role-based and attribution-tracking collaborative design based on manufacturing constraints is disclosed.

Abstract: Provided is a display system and computer program product that are able to process a three-dimensional shape of a state in which a mannequin is wearing clothes, into an appearance desired by a user and to display the processed three-dimensional shape. A display system for selling clothes includes a wearing 3D generator that generates wearing 3D data representing a three-dimensional shape of a state in which a mannequin is wearing clothes by combining mannequin 3D data representing the mannequin in a three-dimensional shape using computer graphics and clothes 3D data representing the clothes in three-dimensional shapes using computer graphics and a display unit that displays the three-dimensional shape of the state in which the mannequin is wearing the clothes, on the basis of the wearing 3D data. The wearing 3D generator processes a portion specified by a user of the three-dimensional shape of the state in which the mannequin is wearing the clothes, into a specified form.

Abstract: A system and method for a commerce platform system conducting a transaction with a customer system of a merchant system. The method may include receiving, over a communications network from the customer system, a request to purchase a product offered for sale by the merchant system, the request to purchase the product generated within a user interface presented to the customer system by the merchant system. The method may also include redirecting the customer system to a payment page served by the commerce platform system, wherein the payment page presents the product of the merchant for purchase by the customer system. Furthermore, the method may include clearing, with one or more authorization network systems, the purchase of the product from the payment page by the customer system, and redirecting the customer system back to a second user interface provided to the customer system by the merchant system.

Abstract: Systems and methods are disclosed herein for automatic subscription-based ordering of product components. During display of media content, the system receives a voice input and determines that the voice input indicates interest in a product. The system identifies the components required to create the product and identifies a subscription to an automated shopping service. Upon identifying the subscription, the system determines whether required components are available via the automated shopping service. Further, the system excludes components that were previously purchased via the automated shopping service, and the system automatically places an order through the automated shopping service for the remaining components.

Abstract: A secure inventory management system includes a product information data store that holds inventory information for products that are associated with one or more channels, as well as a consumer profile data store holding consumer-product purchase event information for each channel. The system also includes a channel manager user interface via which the system will receive a consumer identifier from a channel manager user for a first channel, identify products that are in an inventory of the first channel, and use the consumer profile data to generate recommendations for products in the inventory. At least some of the consumers, and at least some of the products, will be associated with multiple channels. The system maintains security and privacy of information so that only aggregate supplier information is shared across channels, and no personally identifiable consumer information is shared with anyone who is not authorized to access the information.

Abstract: An online concierge system receives multiple images of an item from a first client device associated with a shopper associated with the online concierge system, in which each of the images of the item is captured from a different angle and/or position and the item is included among an inventory of a warehouse associated with a retailer associated with the online concierge system. Based in part on the images of the item, the online concierge system generates a three-dimensional image of the item, in which the three-dimensional image of the item includes a dimension of the item and/or a color of the item. The online concierge system then sends the three-dimensional image of the item to a second client device associated with a customer of the online concierge system, in which a perspective of the three-dimensional image is modifiable within a display area of the second client device.

Abstract: The present disclosure is directed to automatically determining customer information in response to detecting that a customer's mobile device is located at a retail location. A mobile device of the customer may detect a communication from a wireless communication beacon, and may send a customer ID to a backend server. Upon receiving the customer ID, the backend server may access customer information, and transmit it to a server of the retail location. The server may, in turn, cause a customer mobile device in the retail location to display the customer information, thus facilitating effective and efficient customer service. With the customer's permission, upon detecting the customer's mobile device, customer information may be pushed to a salesperson's device or information (e.g., insurance quote or claim information; new vehicle financing, feature, or review information; or other product or service information) may be pushed to the customer's mobile device.

Abstract: A method for managing an electronic commerce (e-commerce) shopping cart may include, in a computing device comprising a touch screen, memory, and at least one processor, receiving a selection of one of a plurality of web pages associated with an e-commerce web site. The selected one of the plurality of web pages and an indication of the e-commerce shopping cart may be displayed on the touch screen. The indication of the e-commerce shopping cart may be integrated for display into each of the plurality of web pages. While displaying the selected one of the plurality of web pages and the indication of the e-commerce shopping cart, at least one gesture event associated with the e-commerce shopping cart may be detected. Access to the e-commerce shopping cart may be enabled upon detecting the at least one gesture event.