A system allows a user to create new designs for apparel and preview these designs before manufacture. Software and lasers are used in finishing apparel to produce a desired finishing pattern or other design. The system provides three-dimensional previews of their designs on a mannequin or other surface, using light projection techniques.

A system for vehicle appraisal that uses a dynamic interface with vehicle capture modules to capture image and audio data of a vehicle and processes the image and audio data to automatically compute vehicle metrics. The system uses the vehicle metrics to generate costs data and market value estimates for the vehicle. The system can integrate with other systems using an application programming interface to exchange data and reports.

An automated system/method for identifying and enabling viewer selection/purchase of products or services associated with digital content presented on a display device. Products within the digital content are identified and existing product placement data is ascertained. For products that do not include such data, other methodologies, with the assistance of third-party servers, are employed to assess identity and purchase availability. Viewer input designate products to assess or products can be automatically assessed. Viewers initiate purchase of identified products via the display device or other electronic devices controlled by viewers, such as via viewers' smart phones. Various processes for identifying products include use of AI processing, access to data on third-party servers, crowd sourcing and other methodologies. Various techniques for selecting products for purchases are employed including employing 3D codes (e.g., QR codes) alongside presented products to enable other portable electronic devices to facilitate purchase. Other features are described.

Systems, methods, apparatuses, and computer-readable media are provided for determining individual item-level details associated with a transaction. A plurality of purchase transactions associated with different merchants may be displayed via a user interface. Responsive to a user selection of a first transaction, of the plurality of transactions, a camera may capture an image of at least a portion of a user receipt associated with the first transaction. The image of the user receipt may be analyzed using one or more optical character recognition (OCR) algorithms to convert the image of the user receipt into textual data. One or more character strings associated with line item-level details may be extracted from the textual data associated with the first transaction. Additional information associated with the line item details may be determined and the line item details and the additional information may be displayed via a user interface.

According to examples, a system for transacting of virtual assets and/or associated non-fungible tokens (NFT) utilizing artificial intelligence (AI) and machine learning (ML) techniques is described. The system may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to generate a virtual asset; generate a non-fungible token (NFT) associated with the virtual asset; and determine a contractual item to facilitate a transaction for the virtual asset and the non-fungible token (NFT). The processor, when executing the instructions, may then generate a badge associated with the non-fungible token (NFT); receive an appraisal associated with the virtual asset; generate a valuation for the virtual asset based on the appraisal; and facilitate the transaction for the virtual asset and the non-fungible token (NFT) based on the valuation.

An apparatus, computer program product, and method are provided for predictive recommendations of device rendered objects using one or more objective models. In the context of a method, the method generates, for each device rendered object of a plurality of device rendered objects, a multiple objective score. The method also determines a real-time adjustment factor based in part on a received objective adjustment signal and generates, for each device rendered object of the plurality of device rendered objects, an adjusted multiple objective score based on the real-time adjustment factor. The method also generate a ranked device rendered object set, selects a subset of the ranked rendered object set, and transmits the ranked device rendered object subset to a client device associated with the user object of the user object objective, the subset configured for rendering within the user interface area of the client device.

According to examples, a system for transacting of assets and/or associated non-fungible tokens (NFT) utilizing artificial intelligence (AI) and machine learning (ML) techniques is described. The system may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to identify a candidate asset, generate a transaction asset based on the candidate asset and generate a non-fungible token (NFT) associated with the transaction asset. The processor, when executing the instructions, may then determine a contractual item to facilitate a transaction for the transaction asset and a non-fungible token (NFT) associated with the transaction asset, generate a badge associated with the non-fungible token (NFT) and facilitate a transaction for the transaction asset and the non-fungible token (NFT).

Systems and methods include determination of a plurality of items, each of the plurality of items associated with a plurality of categorical attributes and one or more values of each of the categorical attributes, and with one or more textual attributes and text of each of the one or more textual attributes, determination of a similarity value for each pair of items based on the number of categorical attribute values common to both items of the pair and the total number of categorical attribute values associated with each item of the pair for each of the plurality of categorical attributes, and on the similarity between the text of each item of the pair for each of the one or more textual attributes, and determination of one or more recommended items based on the determined similarity values.

In an example, a first item of a plurality of items may be identified. A set of items related to the first item may be determined based upon first item information associated with the first item. A second set of items, of the plurality of items, may be determined, wherein the second set of items is targeted to a user. The second set of items includes the first item. Based upon the set of items and the second set of items, a set of candidate content items may be determined for inclusion in an auction associated with selection of content for presentation via a client device associated with the user. The set of candidate content items includes one or more content items associated with the set of items related to the first item. A content item may be selected from content items comprising the first set of candidate content items.

Systems and methods for generating gift advertisements based on contextual signals obtained from user devices and from various retailer systems through which products are offered that can serve as the basis for a gift are provided. A gifting distribution system detects access to a website. The access is associated with a user. The system identifies contextual signals based on content presented on the website and data associated with the user. The system obtains product information for products that can be presented in a gift advertisement within the website. Further, the system generates contextual information that can be presented in the advertisement based on the contextual signals and the product information. The gift advertisement is generated using the contextual information and is presented to the user through the website. If the user selects the advertisement, the user is presented with tailored options for generating a gift from the products.