AI-Driven Traceability Platform
An AI and graph-powered traceability solution improves supply chain visibility and compliance by enabling natural language queries, automated root cause analysis, blockchain-backed reporting and risk prediction streamlining operations and regulatory processes.
Problem
Statement
Conventional traceability systems are inflexible and reactive, lacking the agility to handle dynamic queries or proactively support compliance requirements. This rigidity leads to inefficiencies and delays in meeting regulatory obligations.
Solution
Proposed
01
Natural Language Querying
Enables users to ask traceability questions in plain language, retrieving answers through Neo4j graph traversals.
02
AI-Driven Root Cause Analysis
Identifies the source and impact of issues like contamination and proposes containment strategies.
03
Automated Compliance Reporting
Drafts regulatory reports (e.g., FSMA 204) using blockchain-secured data and AI-generated summaries.
04
Compliance Risk Prediction
Highlights data gaps from partners and forecasts potential compliance failures, suggesting improvements.
Business
Values
01
Faster Traceability: Reduces the time needed to trace product origins or quality issues.
02
Improved Audit Readiness: Enhances credibility with AI-assisted, blockchain-verified records.
03
Operational Efficiency: Minimizes manual tracking and streamlines compliance workflows.
04
User Accessibility: Makes complex traceability accessible to non-technical users through intuitive, natural language interfaces.