SAP had 17 patents in ecommerce during Q1 2024. SAP SE has filed patents for implementing artificial crowd intelligence through networking recommendation engines, importing sustainability reference content into a canonical format for analysis, predicting shelfware for software products using machine learning models, implementing a scenario library for sourcing events, and providing information associated with a category through a graphical user interface. These patents focus on enhancing decision-making processes and optimizing operations through intelligent technologies. GlobalData’s report on SAP gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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SAP grant share with ecommerce as a theme is 52% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Artificial crowd intelligence via networking recommendation engines (Patent ID: US20240078588A1)
The patent filed by SAP SE describes techniques for implementing artificial crowd intelligence through networking recommendation engines. The method involves receiving a content request, generating content items using a base model, obtaining additional content items from other software components with corresponding models, assigning weights to these components, selecting content items based on weights, and displaying the selected items. The system also includes feedback mechanisms for user reactions, machine learning operations for weight modification, and the ability to select software components based on weights.
The patent details a computer-implemented method and system for networking different content sources to implement artificial crowd intelligence. It involves generating content items based on requests, obtaining additional content items from various software components, assigning weights to these components, selecting content items based on weights, and displaying them. The system also includes feedback mechanisms, machine learning operations for weight modification, and the ability to select software components based on weights. The patent aims to enhance the recommendation engine process by incorporating multiple recommendation engines with different models to provide more accurate and diverse recommendations to users.
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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.
