Salesforce had 28 patents in ecommerce during Q1 2024. Salesforce Inc filed patents in Q1 2024 for systems and methods to generate recommendations from dynamically-mapped data, provide insights pages in CRM applications, asynchronous pricing services, configuring DAAS system operations during runtime, and a scalable pricing engine that operates in low-scale and high-scale modes. These patents aim to enhance data processing, automation, and efficiency in customer relationship management and pricing operations. GlobalData’s report on Salesforce gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Salesforce grant share with ecommerce 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: Generation of recommendations from dynamically-mapped data (Patent ID: US20240104630A1)

The patent filed by Salesforce Inc. describes a system and method for generating recommendations from dynamically-mapped data. The system involves receiving requests to generate a recommendation object and retrieve additional data, mapping the additional data to the recommendation object, and generating structured query language (SQL) statements to retrieve the additional data. The recommendation object is hydrated with the additional data at runtime, and the mapping is agnostic to the data hierarchy of the structured data object.

Furthermore, the system includes a graphical user interface (GUI) that visually represents the retrieval of recommendation data, retrieval of additional data, mapping of the additional data, and generation of the recommendation object as a process flow. Each operation is associated with a node within the process flow, and the mapping of additional data is visually represented as a map node linking nodes for retrieval and generation. The recommendation object can be based on an up next recommendation, with the recommendation data potentially comprising customer relationship management (CRM) records and the additional data including scheduling information or prompts for action. The system ensures that the additional data is mapped to the recommendation object without duplication in the first database table, enhancing efficiency and usability for 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.