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 present disclosure relates to systems and methods for improved vehicle transaction platforms. An example method may include receiving, by a vehicle transaction platform, a search request for vehicles from a user device associated with a first user account. The example method may also include receiving identifying information associated with the user account, wherein at least a portion of the identifying information is received from a third party. The example method may also include identifying, based on the identifying information, a predetermined search pattern, wherein the predetermined search pattern was generated based on a prior search request associated with a second user account and identifying information associated with the second user account.

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: The disclosed technology includes a computer-implemented technique for generating images of synthetic products that are manufacturable as physical products is disclosed. The system receives user input describing a conceptual product via a user interface, including text and/or image data. Based on the input, a manufacturer-specific or general generative model is selected and provided with a text-based prompt derived from the conceptual product description. The model generates one or more images of synthetic products, each conforming to manufacturing constraints. The images are presented to the user, each optionally associated with pricing and delivery information, and represent products that are manufacturable and acquirable via the interface. The system may incorporate manufacturability analysis, quality assurance, and model training using user feedback and product data.

Abstract: Methods and systems are provided for using generative AI to optimize product search queries. In embodiments described herein, product descriptions and product images for a plurality of products are obtained. A multi-modal style classification model classifies each product into a corresponding style of a plurality of styles based on the product's product description and product image. Relationships of each product to other products in the plurality of products are stored in a knowledge graph based on the corresponding style of each product and the corresponding product description of each product. An image is generated by a text-to-image diffusion model with a set of products of the plurality of products based on the relationships of each product of the plurality of products to other products in the plurality of products.

Abstract: A computer system and method for transacting business over the Internet relating to vehicle purchasing. A first computer data base is provided having information regarding vehicles for sale wherein each vehicle has associated vehicle data parameters and a second computer data base is provided having information regarding a user wherein each user has associated user data parameters. A vehicle purchase server is provided that includes application software including a routine permitting the selection of specific vehicle data parameters from the first data base contingent upon user data parameters contained in the second data base based upon inquiries from a user regarding a vehicle description. Vehicle matching results including one or more vehicles recommended for the user are presented via a GUI accessible by the user.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing programs and methods for performing operations comprising: receiving a request from a client device of a first user to engage in a shared virtual reality shopping experience with a second user; generating, for display on respective client devices of the first and second users, the shared virtual reality shopping experience comprising a plurality of virtual reality items that represent real-world products; receiving, from the client device of the second user, data indicating a selection of a first virtual reality item of the plurality of virtual reality items made by the second user; and modifying a display attribute of the first virtual item in the display of the shared virtual reality shopping experience on the client device of the first user to indicate the selection of the first virtual reality item made by the second user.

Abstract: There is provided an energy transaction platform to facilitate a wholesale?distribution?DER owner marketplace for DER-based energy products, including contracting, delivery, and settlement, for example, based on blockchain technology. The platform provides components to enrol and verify DER owners having a DER device. Platform components define and communicate contracts for energy services for bidding by DER owners to facilitate e.g. EV charging, GHG reduction, or demand response goals. Contracts are cleared in response to bidding, for example, by DER owners. The platform triggers contract delivery, which delivery is monitored and confirmed. Settlement is made between contract parties according to confirmed participation. Participation rewards and/or credit tokens are transferrable to DER owners, which can be further transferred. DER owner credibility measures can encourage participation and assist with clearing contracts.

Abstract: Systems and methods for attribute recommendation are disclosed. Transaction data related a user is received and attribute recommendations for the user are generated based on the transaction data. The attribute recommendations are generated by a variational inference model configured using a transaction matrix and a loyalty matrix. A set of N recommendations is generated by ranking the generated attribute recommendations based on a combined transaction score and loyalty score and a user interface is generated including the set of N recommendations.

Abstract: In some examples, a system may be configured to, for at least a first user of the plurality of users, implement a first set of operations that generate, for each of a first set of item types, attribute value data. Additionally, the system may implement a second set of operations that generate, for each of a second set of item types identified in catalogue data, clique data. Moreover, the system may, for the at least first user, implement a third set of operations that generate preference dependency data. Further, the system may, for the at least first user, based on the preference dependency data, the clique data, the attribute value data, generate, for each item type of a set of item types, output data including an affinity value for each item type of the first set of item types.

Abstract: A method for categorizing a product, the method including receiving information for the product; inputting the information into a trained machine learning model for a taxonomy tree; receiving a plurality of arrays, each array representing a level in the taxonomy tree and consisting of probabilities for each category represented in the level that the product is categorized in that category; choosing, from a highest level tier array, a category having a highest probability, thereby designating a tier prediction; collecting, from a second level tier array, all children of the tier prediction; determining whether a highest probability from the children of the tier prediction exceeds a threshold, and if yes, choosing the category with the highest probably as a new tier prediction; and repeating the determining; when the threshold is not exceeded or if the tier prediction has no children, and selecting the tier prediction as a predicted category.

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: Disclosed are systems and methods for generating recommendations based on online history information and geospatial data. The disclosed systems and methods provide a novel framework for automating the transmission of electronic recommendations to users by consistently monitoring electronic information regarding a user's interests correlating that data with inventory information and geospatial information. The disclosed framework operates by leveraging available user data, user provided objectives, or various real-time data associated with a user, and using the aforementioned data as inputs for recommendation models, in order to generate and transmit the optimal recommendations to the user.

Abstract: A management device receives designation information from an information processing device. The designation information designates an article to be purchased and a shipping destination of the article. The device performs a specific process to cause generation of a URL which is a Uniform Resource Locator to be used for starting-up an application software to settle a payment of charge of the article designated by the designation information. The controller receives purchase completion information indicating that the payment is completed in a case that: the specific process is completed; the information processing device transmits the URL to an external device; the application software is started up by the URI, on the external device; and the payment is completed by using the application software on the external device. The device transmits a shipping command to ship the article to the shipping destination in response to receiving the purchase completion information.

Abstract: This application relates to a system, method, and non-transitory computer readable medium for implementing a queuing platform. In some embodiments, a user request is received and it determined whether the user request matches predetermined criteria. Embodiments can include assigning the user request to an item queue and issuing a ticket. In further embodiments, the ticket is validated and an access token is transmitted to the user device based on the validation of the ticket. A checkout request corresponding to the at least one user request is received and validated. In some embodiments, the user request is transmitted from the item queue to a checkout engine to complete a purchase of the item based on the validation of the access token received in the checkout request.

Abstract: The invention proposes a display method and customization system for a 3D model shopping interface. The method comprises the following steps: S100: display at least one candidate shopping target in response to shopping search keywords entered by the user; S200: enter a 3D model shopping display interface in response to the user's selection of the first candidate shopping target; S300: download a first data packet from the server if the first interactive operation of the user on a first local position is detected; S400: parse the first data packet and display the parsing result thereof if no second interactive operation of the user on the second local position is detected during the period from the start of downloading the first data packet to the completion of downloading. The customization system is configured with a 3D model shopping application. The invention can reduce lag and delay and adapt to user devices.

Abstract: One variation of a method for managing virtual shopping lists includes: dispatching robotic systems, deployed in store, to autonomously scan inventory structures within this store; deriving current stock conditions of this store based on scan data recorded by these robotic systems; initializing a virtual shopping list for a user; in response to receipt of selection of a first product, from a population of products, isolating a subset of stores, in the set of stores in the geographic region, associated with current stock conditions indicating presence of the first product and products previously added to the virtual shopping list; in response to the subset of stores including at least one store, adding a first identifier of the first product to the virtual shopping list; and specifying a particular store, in the subset of stores, for fulfillment of a set of products on the virtual shopping list.

Abstract: A drink ordering and dispensing system. A drink is ordered, and placed into a database. When drinks or poor, they are associated with the drinks that have been in the database. Once the drink is poured, the weight of the container before and after pouring is used to determine if the drink has been over poured. If the drink is not in the database, then either an exception is established, or at the drink is automatically popped up on the point-of-sale system for a user to pour a server to use the drink.

Abstract: An automated retail store system for providing automated storage of multiple items and scheduled handling of a customer order for said items at a single retail site, including: a store control system adapted to operate under the control of control signals generated based on order information for an order by a customer, said order information including information representing one or more items and a pickup time; a plurality of storage channels for storing different respective items; a retrieval system adapted to operate under the control of said store control system to: retrieve a plurality of said items in said order information from said channels, and place a plurality of said retrieved items into a delivery container; a conveyor system adapted to operate under the control of said store control system to: move said delivery container to either a storage rack or a locker compartment based on said pickup time, and move said delivery container from said storage rack to an available said locker compartment base