Methods and systems for displaying, to a user interface, categories of items for the user to select from for querying the system, in order to enable the system to return to the user images of items of the type desired by the user for possible purchase. The items categories of items can be presented to the user interface visually in silhouette form so that the user can select brand and the silhouette image of the type of item desired. Upon selection of the silhouette image, a query is sent to the system and images of the desired type of item are returned to the user interface for presentation to the user, along with certain attributes of the items.

The invention discloses a multilingual medical voice commerce system enabling secure, voice-activated transactions for healthcare products, services, and prescriptions. Utilizing AI-driven speech recognition optimized for medical terminology, the system integrates natural language processing and context-aware recommendation engines. Secure features include HIPAA-compliant authentication, patient consent management, and end-to-end encryption. The platform interfaces with electronic health records, pharmacy networks, insurance verification systems, and wearable health monitors for real-time medical data access and transaction execution. Designed for hospital procurement, surgical environments, telehealth, and home healthcare, the system incorporates universal accessibility, including adaptations for visual, motor, cognitive, and speech impairments. Multilingual capabilities ensure cultural and linguistic inclusivity. AI analytics track usage patterns, optimize recommendations, detect health trends, and support population health initiatives. Operable across smart speakers, medical devices, and connected platforms, the system delivers a unified, monetized, secure, and inclusive medical voice commerce ecosystem for patients, providers, and healthcare organizations worldwide.

A method including obtaining one or more predicted shelves corresponding to the keyword query. The method additionally can include generating linked categorical facets corresponding to the one or more predicted shelves based on shelf-categorical facet linkages. The method further can include generating, using fuzzy matching, candidate shelf-specific facets based on shelf-specific facet representation mappings and the linked categorical facets. The method additionally can include determining one or more shelf-specific facets from the candidate shelf-specific facets based on facet information in the candidate shelf-specific facets. The one or more shelf-specific facets can correspond to one or more shelves of the one or more predicted shelves. The method further can include outputting the one or more shelves and one or more respective shelf-specific facets of the one or more shelf-specific facets that correspond to each of the one or more shelves. Other embodiments are described.

Provided are a device and a method in which a virtual object image of a product determined according to a user who enters a shop can be presented to the user, and a real product item can also be provided. A product to be presented is determined according to a user who enters a shop, and a mixed reality image in which a virtual object image of the determined product to be presented can be observed together with a real object in the shop is generated and output to a glass worn by a user who has entered the shop. The virtual object image of the product to be presented is sequentially updated according to a motion of the glass, and a mixed reality image is generated in which the product appears to be arranged in a product arrangement space in the shop.

A method may include receiving activity data associated with a user, wherein the activity data relates to online activity involving a product type, identifying the product type associated with the activity data, and predicting, based on the activity data, that the user is likely to purchase a product of the product type. The method may include generating, based on predicting that the user is likely interested in purchasing the product of the product type, an annotation to indicate that a potential transaction to purchase the product is forthcoming, and storing the annotation in a profile associated with an account of the user. The method may include detecting a transaction to purchase the product, wherein the transaction involves a payment from the account, and performing an action associated with a fraud analysis of the transaction based on the annotation.