Abstract: Systems and methods are disclosed for displaying information related to items in a store. Stock keeping unit (SKU) information for items in the store and combination information indicating which SKUs were sold together can be accepted. Dimension information and structure information for a neural network can be defined. The neural network can be trained using the combination information indicating which SKUs were sold together in a same combination to calculate weight values and bias values for the neural network.

Abstract: A computer-implemented method for collaboratively purchasing an item. The method includes receiving a collaborative purchase request from a user at a collaborative purchasing computing system. The collaborative purchase request includes at least one of a purchase type, a purchase item, and a purchase goal. The method includes analyzing the collaborative purchase request to identify other users associated with the collaborative purchasing computing system that have indicated a desire to participate in a collaborative purchase request similar to the received collaborative purchase request. The method includes transmitting a collaborative purchase offer to the identified users. The method further includes receiving one or more collaborative purchase offer acceptances from one or more of the identified users, and providing details required to complete the collaborative purchase request to the user and the one or more identified users that accepted the collaborative purchase offer.

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: A method of simulating a virtual out-of-box experience of a packaged product with an electronic device is disclosed. The packaging of the product has a computer-readable code which is scanned with a camera on the electronic device. A product demonstration application is retrieved for the product from the internet. Surfaces of the packaging are recognized by the application. An image of a virtual representation of the product is rendered on an image of the packaging to make a combined image, which is displayed to the user on the display of the electronic device wherein the combined image simulates X-Ray vision into the packaging, revealing the product. The method further updates the combined image as the user manipulates the product in front of the camera, revealing different view of the product, a three-dimensional view of the product may further be displayed outside the packaging, and features demonstrated of the virtual product.

Abstract: The present disclosure relates to product activation of products purchased online or through electronic commerce platforms. The disclosure provides methods, systems, and computer program products that enable secure activation of products using user identity data. The disclosure implements secure activation based on activation records maintained in an activation server and a unique registrant ID corresponding to an intended user of the product that is generated and maintained at an identity verification platform.

Abstract: Various embodiments attempt to predict items in a new product category that may be of interest to a particular user when the user has not interacted with or made purchases in that product category. In accordance with various embodiments of the present disclosure, this is accomplished by training machine learning models, such as deep neural networks, using both the historical purchase data from the particular user as well as the historical purchase data from many other users to infer what new category of items the particular user might be interested in. In some embodiments, the previous purchase data of the other users are used to construct a graph, and the graph is used to train the machine learning model rather than the raw data. The graph can represent the entirety of the previous purchase data with less actual data, thereby requiring less memory and other computational resources.

Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.

Abstract: A virtual browsing experience may be implemented that allows a user to move a mobile device within a physical environment in order to control browser navigation to different items on an associated display. The virtual browsing experience improves the user's ability to recall where previously-viewed items are located in the virtual browsing environment. In some embodiments, a mobile device may determine its position and/or orientation in a physical environment, and when movement of the mobile device is detected, a user interface on an associated display may digitally navigate through multiple items according to the position and/or orientation of the mobile device. The position and orientation of the mobile device may be determined from position information or data obtained by a sensor device of the mobile device, and appropriate subsets of items can be determined for display based on detected movement of the mobile device.

Abstract: An augmented reality-based lighting design method includes displaying, by an augmented reality device, a real-time image of a target physical area on a display screen. The method further includes displaying, by the augmented reality device, a lighting fixture 3-D model on the display screen in response to a user input, where the lighting fixture 3-D model is overlaid on the real-time image of the target physical area. The method also includes generating, by the augmented reality device, a bill of materials (BOM) that includes a lighting fixture corresponding to the lighting fixture 3-D model.

Abstract: An electronic transmission method, device and system, and computer readable storage medium are provided. The electronic transmission method includes: receiving a first instruction for a target electronic file; after receiving the first instruction, dispatching the target electronic file from a first storage location on which it is stored currently to a second storage location, the network connectivity between the second storage location and a target terminal being better than the network connectivity between the first storage location and the target terminal; after receiving a second instruction for the target electronic file, transmitting the target electronic file from the second storage location to the target terminal. This method ensures that it will not be difficult for the target terminal to acquire the target electronic file in time due to poor network connectivity, which in turn improves the online transaction efficiency of electronic files.

Abstract: Example embodiments of the present disclosure include a system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for providing an interactive graphical user interface (GUI) on an interactive mirror display responsive to user interest. Consistent with some embodiments, the method may include identifying an item of interest to an individual in a retail store and accessing detailed product information for the item from a product database. The method may further include generating the interactive GUI using the detailed product information and causing the interactive GUI to be presented to the individual on the interactive mirror display.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of receiving an online query from an electronic device of a user, the online query comprising natural language of the user, determining an intent of the online query as at least one of a product-related intent or a non-product-related intent, predicting an entity from the online query if the intent of the online query is determined to be a product-related intent, mapping the entity predicted from the online query to product metadata associated with one or more products, and coordinating a display of product information of the one more products on the electronic device. The entity can include a product name, a product attribute, a product price range, an average customer review, or a product brand.

Abstract: In certain embodiments, a system includes a processing system and tangible computer-readable media accessible by the processing system. The tangible computer-readable media may store software and purchase order identifications. Each purchase order identification indicates a respective one of a plurality of purchase orders, and each purchase order identification is globally unique with respect to each other. The software when executed by the processing system is configured to access a request comprising a first purchase order identification. The request had been generated at a client device that had decoded the one of the plurality of purchase order identifications from an optical scan of a code provided with packaging of one or more products of the respective purchase order indicated by the first purchase order identification. The software further generates data comprising information that facilitates returning at least one of the one or more products for receipt by the client device.

Abstract: Entities such as hotels, restaurants, resorts, houses, vehicles, and other places and things, are associated with images of each entity. The images are tagged using machine learning to identify what aspects of the associated entity are captured by each image. When a user is requested to select an entity from a set of entities, a user preference model is used to determine what tags the user is interested in. The tags are used to select images associated with the entities from the set of entities, and the selected images are displayed to the user. The user can then provide indicators that show which of the displayed images the user likes or dislikes. Based on the indicators, one or more entities from the set of entities is presented to the user. The model may also be updated based on the indicators.

Abstract: An enhanced product recommendation service observes a user engaging in an activity to automatically recommend products that facilitate performance of the activity. Photographs and/or video of the user performing the activity may be analyzed to identify an output that results from the activity and/or an activity task sequence that includes multiple tasks associated with completing the activity. Then, the enhanced product recommendation service may identify a product that is usable to generate the output(s) of the activity and/or complete the activity without performing one or more individual tasks of the activity task sequence. The product may be an existing product. Alternatively, the product may be a customized product that is designed based on observing the user engage in the activity. Physical measurements of the customized product may be determined based on various measurements determined by analyzing the photographs and/or video of the user performing the activity.

Abstract: Systems and methods are provided for tracking products within a merchant location, based on movement of the product at the merchant location. An example method includes receiving, at a communication hub distributed in a merchant location, a plurality of movement indicators from a tag associated with a product where the movement indicators each indicate movement of the product and each including an identifier. The method also includes tracking, by the communication hub, the product in the merchant location based on the movement indicators.

Abstract: Methods and apparatus are disclosed for providing a centralized customer order processing system. A customer order entry may be received by a central server. The customer order entry may be routed to a local store server at an identified store location. Upon arrival at the identified store location, a mobile device of the customer may detect a proximity signal located at the identified store location, and a mobile application may be invoked on the mobile device. An order activation signal may be transmitted to a server, the order activation signal indicating customer arrival at the identified store location. The customer order entry may be activated at the local store server. The customer may arrive at the identified store location and pick up their order. Methods and apparatus are also disclosed for implementing the centralized customer order processing system on a mobile device.

Abstract: Items, such as produce items, may be placed in containers, imaged, weighed, and stored for subsequent retrieval. Images that depict the items and attributes associated with the items may be presented to customers via an interface. Upon receiving an indication that a customer has purchased one or more items via the interface, a container that includes the one or more items is retrieved. The one or more items are removed from the container and packaged for delivery to the customer. The resulting empty container is refilled with new items, which are then imaged, weighed, and stored.

Abstract: A computer-implemented method includes receiving a request to scan a barcode and in response, displaying a split screen having a camera image portion and a product information portion. At least part of an image currently being captured by a camera and containing a barcode is displayed in the camera image portion. Product information for a product represented by the barcode is displayed in the product information portion.

Abstract: A system may a processor that may receive image data of a vehicle via one or more image sensors and retrieve vehicle data regarding the vehicle from a vehicle database based on the image data. The vehicle database may include a first set of data regarding a plurality of vehicles. The processor may then retrieve financial data regarding a user from a financial database, such that the financial database includes a second set of data regarding financial information concerning the user. The processor may then determine one or more financial products associated with a purchase of the vehicle, generate one or more visualizations representative of the one or more financial products, and modify the image data depicted on a display to include the one or more visualizations.