ADOBE had 23 patents in ecommerce during Q1 2024. ADOBE Inc’s patents filed in Q1 2024 focus on innovative systems and methods for distributing digital content across platforms using trend-setting participants, generating causal-based models for event attribution, employing arrival times and confidence scores for search results, producing user-generated content based on product identifiers, and generating custom attributes for search facets based on image analysis. These patents showcase ADOBE‘s commitment to advancing technology in digital content distribution, search systems, and user engagement. GlobalData’s report on ADOBE gives a 360-degree view of the company including its patenting strategy. Buy the report here.

ADOBE grant share with ecommerce as a theme is 56% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Utilizing trend setter behavior to predict item demand and distribute related digital content across digital platforms (Patent ID: US20240104619A1)

The patent filed by ADOBE Inc. describes a system, method, and computer-readable media for distributing digital content across various platforms using trend-setting participants. The system generates affinity metrics for digital items based on attributes of digital posts by trend-setting participants and determines predicted demand metrics for these items on different platforms. By using these metrics, the system distributes digital content related to the items for display on client devices via the platforms. The system also determines visual similarity between items featured in digital posts and catalog items, as well as color palettes portrayed in posts and digital items.

Additionally, the system determines trend-setting scores for participants based on their activities on digital platforms and identifies trend-setting participants. It then distributes digital content based on predicted demand metrics, ensuring that items with higher predicted demand are displayed more prominently. The system also considers the visual similarity between items featured in posts and catalog items when distributing content. Overall, the patent outlines a comprehensive approach to leveraging trend-setting participants to distribute digital content effectively across multiple platforms based on predicted demand metrics and visual attributes.

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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.