Salesforce had 32 patents in big data during Q1 2024. Salesforce Inc filed patents for a scalable pricing engine, a data visualization method using a graphical user interface, a mapping service for generating mock data values, a mocking service for generating mock API data, and an open-vocabulary instance segmentation framework using a pre-trained vision-language model. 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 big data as a theme is 43% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: System and method for a scalable pricing engine (Patent ID: US20240095788A1)

The patent filed by Salesforce Inc. describes a scalable pricing engine that can operate in both low-scale and high-scale modes to process pricing data efficiently in response to pricing requests. The engine utilizes a primary database for low-scale operations and a scalable read-only data service for high-scale operations, along with a high-scale cache to reduce latency. The system also includes data reduction techniques and network resource allocations to optimize processing of requests and responses.

The patent further details the method and article of manufacture for implementing the scalable pricing engine, including operations such as monitoring the primary database for modifications to pricing data, storing data in an in-memory cache for faster access, and utilizing a pricing API for serialization and deserialization of object graphs. Additionally, the system exposes a database interface for translating commands into database operations, enabling efficient management of create, read, update, and delete operations. Overall, the patent outlines a comprehensive approach to pricing data processing that ensures scalability, efficiency, and optimal resource allocation for pricing requests across different runtime environments.

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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.