International Business Machines had 474 patents in digitalization during Q1 2024. IBM filed patents in Q1 2024 for techniques to improve product demand by generating food profiles and recipes based on user inventory, a method for digital asset transactions using smart contracts, tagging and sharing limited views of content based on user roles, generating personalized pricing and promotions for items based on user behavior, and data compression using normalizing functions and pattern extraction. GlobalData’s report on International Business Machines gives a 360-degree view of the company including its patenting strategy. Buy the report here.

International Business Machines grant share with digitalization as a theme is 64% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Product demand using food recipe data (Patent ID: US20240104625A1)

The patent filed by IBM describes a system, method, and computer product for enhancing product demand by generating a food profile based on a user's food inventory, identifying food recipes based on the profile, determining food items in the inventory, identifying absent items needed for recipes, and notifying the user of the missing items. The method involves machine learning models, recipe filtering, and predicting desirable quantities of absent items based on recipe ontology and user behavior.

The computer-implemented method and system optimize food personalization by analyzing a user's food inventory, generating a food profile, identifying suitable recipes, determining missing ingredients, and communicating the deficiencies to the user. The process involves machine learning models, recipe filtering, and predicting desirable quantities of absent items based on recipe ontology and user behavior. The patent aims to improve user experience and increase product demand through personalized food recommendations and inventory management.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.