Supply Chain Intelligence System for Agricultural Data Aggregation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Agricultural supply chains face fragmentation due to inaccessible and unintelligible data, leading to knowledge gaps that impact financial decisions, particularly in the specialty crop market, where stakeholders rely on incomplete and inaccurate information for making decisions.
Innovation Solution
A system and method that aggregates, analyzes, and outputs timely, curated data by receiving data from multiple sources, translating it into a uniform format, identifying anomalies using neural networks, and providing customized alerts to users, thereby replacing subjective human judgment with objective analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If stakeholders check multiple data sources manually throughout the business day, then they can gather information from various sources, but the process becomes time-consuming and the data remains incomplete and inaccurate
Solution Approach 1:
The patent introduces an intermediary system (the data aggregation platform) that automatically collects, consolidates, and processes information from multiple sources including government agencies, industry groups, and private sources. This intermediary eliminates the need for manual checking by stakeholders while ensuring comprehensive and accurate data collection through automated parsing and validation processes.
Solution Approach 2:
The system operates continuously to aggregate data from multiple sources throughout the business day rather than requiring stakeholders to check sources at discrete times. The automated data collection and processing continues uninterrupted, ensuring that stakeholders always have access to the most current and complete information without manual intervention.
2Measurement precision
If stakeholders rely on human subjectivity and existing networks for information, then they can access data from connected sources, but the information becomes inaccurate and limited in scope
Solution Approach 1:
The patent creates a universal data aggregation system that serves multiple functions: collecting data from diverse sources (government, industry, private), validating data accuracy through automated parsing, expanding the data scope beyond individual networks, and delivering customized information to stakeholders. This multi-functional platform eliminates the limitations of relying on single networks or subjective human judgment.
3Reliability
If farmers and growers check individual industry connections and government sources for current information, then they can make informed decisions, but the information remains incomplete and subject to human error
Solution Approach 1:
The automated data aggregation platform serves as an intermediary that reliably collects and validates information from multiple sources, eliminating human error in data collection. The system's automated parsing and validation processes ensure complete and accurate information is delivered to stakeholders, improving the reliability of decision-making without the limitations of manual data gathering.
Data Source
AI summary
A system gathers data from a plurality of sources across a wide geographic region, and produces from the gathered information output to a user, which output indicates to the user factors that may influence supply of product to, and/or operation of, a supply chain. Illustrative embodiments are able to determine that data in a previously received dataset has been changed by its corresponding data source, and subsequently update a corresponding data record maintained by the system. Illustrative embodiments train and employ one or more neural networks to identify anomalies in large datasets, and in some embodiments to predict the impact of various factors on crop production.