International Business Machines had 46 patents in ecommerce during Q2 2024. The patents filed by IBM in Q2 2024 include dynamic shopping technology that suggests additional products based on a user’s pickup location, intelligent food order selection based on quality date requirements and cost, product verification using unique identifiers and bio-tagging, optimizing task patterns based on activity monitoring data, and AI-generated recommendations for wearable devices based on user activity and environment. GlobalData’s report on International Business Machines gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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International Business Machines had no grants in ecommerce as a theme in Q2 2024.
Recent Patents
Application: Computer generated dynamic shopping experience based on delivery data (Patent ID: US20240212087A1)
The patent filed by IBM describes a computer-implemented method for dynamic shopping that involves receiving an order for a product and pickup location from a user's device, determining the type of product ordered, using a product matching engine to suggest other potential products for order at the pickup location, and adding these products to the order for delivery. The system utilizes a neural network trained with historical order data to match products and categories for selection.
Additionally, the method includes displaying potential products for order on the user's device, tracking the pickup vehicle during transit to the pickup location, and updating a historical database with new order information. The system also involves autonomous vehicles for delivery and temporary shopping facilities at pickup locations for stocking inventory. The patent also covers a system and computer program product for dynamic shopping that follows similar processes and functionalities, including the use of neural networks and historical order data for product matching and selection.
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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.
