International Business Machines had 61 patents in ecommerce during Q1 2024. IBM filed patents in Q1 2024 for techniques to improve product demand by generating personalized food recipes based on user inventory, generating pricing and promotions based on user search patterns, ordering goods from suppliers using blockchain technology, dispatching requests based on data storage boundaries, and resolving potential lost sales by offering substitute items to users. 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 ecommerce as a theme is 63% 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 utilizes machine learning models, past purchase information, social media activity, and recipe preferences to personalize the food recommendations and predict desirable quantities of absent items.

The computer-implemented method and system optimize food personalization by analyzing a user's food inventory, suggesting recipes based on preferences, determining missing items, and predicting quantities needed. By leveraging machine learning models and user data, the system can provide tailored recommendations and enhance the user experience by ensuring they have the necessary ingredients for desired recipes. The patent also covers the generation of estimation models for absent food items and predicting cooking frequency to adjust the desirable quantity of missing items based on user behavior and acquisition history.

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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.