Commodity Matching Using Quality Metrics and Anonymous Contracts
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Solution Overview
Problem
Existing commodity market systems face inefficiencies due to limitations in specifying complex quality metrics and slow response to shifts in consumer demand, regulatory concerns, and supply chain logistics, particularly in transactions involving specialty crops.
Innovation Solution
A commodity marketplace system that allows buyers and sellers to input marketing plans using natural language, with a processor matching and generating contracts anonymously, ensuring identities are kept secret, and using natural language processing to analyze and match criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional commodity market systems use standardized constraints for transactions, then transaction simplicity is maintained, but the ability to specify complex quality metrics and respond to specialty crop demands is limited
Solution Approach 1:
The patent segments the commodity transaction specification into multiple independent quality metrics (e.g., protein content, moisture level, amino acid content, organic certification) that can be individually defined and matched. This allows complex quality specifications to be broken down into manageable components that can be processed separately while maintaining overall transaction integrity.
Solution Approach 2:
The system transforms the specification approach from standardized categorical constraints to continuous parameter-based definitions. Buyers can specify exact numerical ranges for quality metrics (e.g., protein content between 12-14%, moisture below 13%) rather than selecting from predefined grades, enabling precise matching of complex quality requirements.
2Measurement precision
If manual specification methods are used for quality metrics, then contract detail accuracy is improved, but response time to market shifts decreases
Solution Approach 1:
The patent replaces manual specification and matching processes with automated computer-based systems. The processor automatically compares buyer requirements against seller offerings using algorithms that evaluate multiple quality metrics simultaneously, eliminating the time-consuming manual review process while maintaining precise matching accuracy through systematic evaluation criteria.
Solution Approach 2:
The system enables self-service matching where buyers and sellers independently input their specifications and the automated processor performs the matching function. This eliminates the need for intermediaries or manual negotiation, allowing the market to respond quickly to changing conditions while maintaining accurate quality metric specification through direct participant input.
3Measurement precision
If identity-preserving methods are implemented, then buyer-seller matching precision is improved, but market liquidity and transaction speed are reduced
Solution Approach 1:
The patent introduces an automated processor as an intermediary that handles the matching function. This intermediary receives anonymous specifications from buyers and sellers, performs the matching algorithm, and facilitates transactions without requiring direct identification or negotiation between parties. This maintains matching precision through systematic evaluation while improving transaction speed by eliminating manual identity verification and negotiation steps.
Data Source
AI summary
Methods and systems for operating a commodity marketplace. The system may include an interface for at least receiving a seller marketing plan from each of a plurality of commodity sellers and a buyer marketing plan from a commodity buyer. The system may also include a processor executing instructions stored on memory and configured to select a plurality of seller marketing plans from the plurality of commodity sellers to satisfy the buyer marketing plan, and automatically generate a plurality of contracts based on the buyer marketing plan and the selected plurality of the seller marketing plans.