Filed Oct. 19, 2026

Serial No. 50169616

Class Software as a service (SAAS) services featuring software for application and database integration; Software as a service (SAAS) services featuring software for identifying and cataloging product labels, strain information, and strain characteristics, downloading and storing certificates of analysis, user journaling and recording of personal product experiences, analyzing user inputs to generate personalized preference profiles and product recommendations, reading and writing NFC and RFID tags, and organizing and managing product collections; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for analyzing user experiential data, product composition data, cannabinoid content data, terpene profile data, certificate of analysis data, and storage condition data to generate personalized product recommendations, identifying correlations between product characteristics and user-reported effects, and providing predictive insights regarding product preferences and consumption patterns; Software as a service (SAAS) services featuring software using machine learning for analyzing product composition data, cannabinoid content data, terpene profile data, strain characteristic data, and user experience data to generate personalized product recommendations, identifying patterns in user preferences, and optimizing product matching based on learned user behavior; Software as a service (SAAS) services featuring software for generating two-dimensional barcodes encoding user preference and experiential data for sharing with retail point-of-sale systems; Platform as a service (PAAS) featuring computer software platforms for enabling retailers and third parties to access aggregated consumer preference data, product composition data, cannabinoid content data, terpene profile data, certificate of analysis data, retail product inventory data, product availability data, dispensary and retailer location data, pricing data, product matching data based on consumer preference profiles, and market trend data for herbs, dried botanical products, dried plant materials, aromatic plants, coffee, and tea; Cloud computing featuring software for use in managing product collections, storing certificates of analysis, journaling product experiences, and reading and writing NFC and RFID tags; Electronic storage of user data, product composition data, cannabinoid content data, terpene profile data, strain characteristic data, storage condition data, certificates of analysis, and experiential data for herbs, dried botanical products, dried plant materials, aromatic plants, coffee, and tea.; 100; 101

Case Type Service mark