Blockchain Resource Prediction System Using AI Forecasting
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Solution Overview
Problem
The resource needs of a population are not predicted efficiently due to a lack of current and historical transactional information, leading to extended delivery times, potential waste, and adverse effects, especially for perishable resources like medication.
Innovation Solution
A blockchain-based resource management system that uses predictive analytics and AI/ML to accurately forecast future resource requirements by analyzing historical and real-time data, optimizing resource allocation, and providing notifications, thereby creating a transparent and efficient transactional environment for all parties involved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional resource prediction methods are used without blockchain and AI/ML, then the system is simpler, but prediction accuracy and resource allocation efficiency deteriorate
Solution Approach 1:
The system segments resource management into multiple blockchain networks, each dedicated to specific resource types (e.g., food, medication). This segmentation allows for specialized prediction models and data structures for each resource category, improving prediction accuracy while managing complexity through modular architecture.
Solution Approach 2:
The patent introduces blockchain as an intermediary layer between resource producers and consumers. This intermediary provides a transparent, immutable ledger that stores historical transactional information, enabling accurate AI/ML predictions while maintaining system simplicity through standardized interfaces and protocols.
2Loss of information
If historical transactional information is not collected and stored, then data storage requirements are reduced, but prediction capability deteriorates
Solution Approach 1:
The system extracts only the essential transactional information needed for prediction purposes and stores it on the blockchain. By selecting and storing only relevant data points (resource quantities, timestamps, locations, conditions), the system maintains comprehensive information availability while minimizing storage requirements.
Solution Approach 2:
The patent transforms raw transactional data into standardized parameters and features suitable for AI/ML models. By converting diverse transactional information into structured parameters (e.g., resource demand patterns, supply chain metrics), the system maximizes information utility while reducing storage burden through efficient data representation.
3Reliability
If resource allocation is based on incorrect predictions, then delivery time is reduced, but resource waste and market instability increase
Solution Approach 1:
The system performs preliminary resource allocation based on AI/ML predictions of future resource requirements. By analyzing historical blockchain data and predicting future demand, the system proactively allocates and prepositions resources before actual demand occurs, ensuring both high allocation accuracy and timely delivery.
Solution Approach 2:
The patent implements continuous feedback loops where actual resource consumption and delivery outcomes are recorded on the blockchain and fed back into the AI/ML prediction models. This feedback mechanism continuously improves prediction accuracy and allocation reliability while optimizing delivery times through learned patterns.
Data Source
AI summary
A method, computer system, and a computer program product for blockchain based resource predictions and management is provided. Embodiments of the present invention may include receiving a request for a prediction of a future resource requirement. Embodiments of the present invention may include loading data structures. Embodiments of the present invention may include classifying collected data. Embodiments of the present invention may include predicting the future resource requirement. Embodiments of the present invention may include adjusting the priority of the future resource requirement. Embodiments of the present invention may include providing notifications.