Value Chain Control Tower Using AI for Actionable IoT Data
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Solution Overview
Problem
Organizations face challenges in managing complex and voluminous data from smart devices and IoT systems, leading to overwhelmed users and missed opportunities for insights, necessitating methods and systems to convert data into actionable insights and timely decisions.
Innovation Solution
A cloud-based management platform with a micro-services architecture, including interfaces, network connectivity facilities, adaptive intelligence, data storage, and monitoring facilities, to manage value chain network entities from product origin to customer use, utilizing 5G, IoT, cognitive networking, digital twins, and robotic process automation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If organizations collect and store large amounts of data from smart devices and IoT systems, then the quantity of available information increases, but users become overwhelmed and miss opportunities for actionable insights
Solution Approach 1:
The patent introduces an intermediary processing layer between raw data collection and user consumption. This layer includes automated data processing systems, analytics engines, and intelligence facilities that transform raw data into actionable insights, thereby resolving the contradiction between having abundant data and being able to effectively manage and utilize it.
Solution Approach 2:
The patent replaces manual data management and analysis mechanisms with automated intelligent systems. Machine learning algorithms, cognitive computing platforms, and robotic process automation substitute human-driven data processing, enabling efficient management of large data volumes without overwhelming users.
2Reliability
If organizations implement comprehensive monitoring and management systems across the entire value chain, then visibility and control improve, but system complexity increases
Solution Approach 1:
The patent segments the value chain into discrete manageable units or nodes, each monitored and controlled independently. This segmentation allows comprehensive visibility across the entire chain while keeping individual system components manageable and less complex. Each segment can be optimized and managed separately, reducing overall system complexity.
Solution Approach 2:
The patent implements a universal management platform that handles multiple functions across different value chain segments. This multi-functional system provides standardized monitoring and control mechanisms that work across diverse operations, reducing complexity by avoiding the need for separate specialized systems for each function.
3Ease of manufacture
If organizations use traditional linear supply chain management approaches, then implementation is straightforward, but responsiveness to market changes and decision-making speed decrease
Solution Approach 1:
The patent transforms static, linear supply chain management into a dynamic system that can adapt in real-time to market changes. The system incorporates continuous feedback loops, real-time data processing, and automated decision-making capabilities that enable rapid response to changing conditions while maintaining ease of implementation through standardized dynamic protocols.
Solution Approach 2:
The patent implements comprehensive feedback mechanisms throughout the value chain, where data from various points continuously flows back to decision-making centers. This feedback enables real-time adjustments and faster decision-making, allowing the system to respond quickly to market changes while maintaining straightforward implementation through automated feedback processing.
Data Source
AI summary
An information technology system generally includes a cloud-based management platform with a micro-services architecture deploying a set of adaptive intelligence facilities that can be configured to automate a set of capabilities of the platform related to at least one of the value chain network entities and the features of the platform and a set of data storage facilities that can be configured to store data collected and handled by the platform. The data can be related to at least one of the value chain network entities and the features of the platform. A set of monitoring facilities can be configured to monitor the value chain network entities. The platform can be configured to host a set of applications for directing an enterprise to manage the value chain network entities from a point of origin of a product of the enterprise to a point of customer use.