Jabil had one patents in cloud during Q4 2023. Jabil Inc has developed an innovative supply chain management system that includes an operating platform connected to various modules for collecting, storing, distributing, and processing data. This system helps in identifying statistical opportunities and risks within the supply chain hierarchy. It also allows for the determination of risk values based on different attributes, providing users with multiple results for further analysis. Additionally, the system can generate network nodes, their relationships, and statuses for quick and efficient decision-making. GlobalData’s report on Jabil gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Jabil grant share with cloud as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Systems and methods for providing diagnostics for a supply chain (Patent ID: US20230325749A1)

The patent filed by Jabil Inc. describes an apparatus, system, and method for supply chain management (SCM) system processing. The SCM operating platform is connected to SCM modules to collect, store, distribute, and process SCM data to analyze statistical opportunities and risks within a SCM hierarchy. The system utilizes SCM risk processing to determine risk values based on SCM attributes, allowing for multiple results that can be further explored by users. Additionally, the system can produce SCM network nodes, their relationships, and statuses for efficient status determination.

The patent includes claims for a supply chain platform that provides diagnostics related to a supply chain with multiple nodes. The platform includes data inputs for receiving various types of data, rules stored in memory for comparing data to produce secondary data, and data outputs that provide users with secondary data for predictive risk assessment and addressing potential disruptions in the supply chain. The secondary data can include information on parts stock buffers, collaboration across nodes, action triggers for corrective measures, and optimization of computing resources and networking. The user interface is designed to display a tree node hierarchy of the supply chain nodes, with connections between nodes specified as one-to-one, one-to-many, and many-to-many.

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