Jabil had one patents in big data during Q1 2024. 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 status updates. GlobalData’s report on Jabil gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Jabil had no grants in big data as a theme in Q1 2024.

Recent Patents

Application: Systems and methods for risk processing of supply chain management system data (Patent ID: US20240020611A1)

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 identify statistical opportunities and risks within a SCM hierarchy. The system also involves SCM risk processing to determine risk values based on SCM attributes, allowing for multiple results to be generated for further analysis by a user. Additionally, the system can produce SCM network nodes, their relationships, and status for quick and efficient status determination.

The patent claims detail a primary node with a platform and applications for data hooks for supply chain risk management. The system involves receiving data from various supply chain nodes and data sources, producing secondary data based on rules, calculating a comparative opportunity value representing the risk of imbalance in the supply chain, and displaying various data outputs including bubble charts and analytics windows. Furthermore, the supply chain risk management system described in the claims manages varying risks of insufficient supply across multiple supply chain nodes by receiving data inputs, applying rules through a software comparator module, and generating cascaded supply chain risk data for optimization recommendations through bubble charts and analytics windows. The system aims to provide a comprehensive approach to managing and analyzing supply chain risks efficiently.

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