Achieving EUDR Compliance in Soy Supply Chains with AI-Powered Traceability

A leading commodity trader based in Nigeria set out to strengthen sustainability, traceability, and regulatory compliance across its soy supply chain. With growing global scrutiny on ethical sourcing especially under the EU Deforestation Regulation the company needed to ensure that all soy sourced from domestic and international suppliers met deforestation-free requirements without disrupting operational efficiency or competitiveness. 

To achieve this, the company partnered with TraceX to deploy an advanced, AI-powered compliance and traceability solution. 

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About the Company

A Soy processing industry which operates one of the largest specialized oils and fats processing complexes in Africa. 

Industry

Soy Processor 

Region

Africa 

Use Case

EUDR Compliance for Soy 

Features Used

  • Supplier GeoJSON Upload 
  • Risk Assessment & Mitigation with satellite Data 
  • Compliance Check 

The Problem

The company faced multiple challenges in aligning its soy supply chain with evolving regulatory and sustainability expectations: 

  • Limited visibility into supplier-level sourcing practices 
  • Difficulty verifying deforestation-free compliance at scale 
  • Manual and time-intensive processes for geolocation validation and reporting 
  • Complexity in handling large volumes of supplier and farm-level data 
  • Increased risk of non-compliance with EUDR, leading to potential market restrictions 
  • Lack of real-time monitoring of land-use changes and deforestation risks 

These challenges created operational bottlenecks and exposed the company to regulatory, reputational, and financial risks.

Solution

The company implemented TraceX’s AI-powered EUDR compliance platform, enabling a fully digitized and automated approach: 

EUDR Compliance in Soy Supply Chains, EUDR Compliance in Soy Supply Chains with AI-Powered Traceability, Soy Supply Chains with AI-Powered Traceability, Soy Supply Chains

AI-Powered Compliance & Risk Assessment 

  • Automated analysis of supplier data to assess deforestation risk and compliance status 
  • Intelligent workflows reducing manual intervention 

GeoJSON-Based Land Verification 

  • Accurate mapping of sourcing areas using Geo JSON data 
  • Farm-level geolocation validation aligned with EUDR requirements 

Advanced Geometry Checks 

  • 13 automated geometry validations to ensure data accuracy and boundary integrity 

Remote Sensing & Deforestation Monitoring 

  • Satellite-based monitoring to detect land-use changes in real time 
  • Continuous tracking of deforestation risks across sourcing regions 

Centralized Data & Reporting 

  • Unified platform for data aggregation, compliance tracking, and reporting 
  • Streamlined generation of audit-ready documentation 

Explore our Solutions 

Results

The deployment delivered significant improvements in compliance, efficiency, and transparency: 

  • Achieved EUDR compliance readiness with verified, traceable sourcing data 
  • Reduced manual effort through automation and AI-driven validation 
  • Enabled real-time monitoring of deforestation risks 
  • Improved accuracy and reliability of compliance reporting 
  • Strengthened supplier accountability and end-to-end traceability 
  • Maintained operational efficiency while meeting global regulatory standards 

The company successfully transformed its soy supply chain into a transparent, scalable, and compliance-ready ecosystem.

Key Takeaways

  • AI and automation are critical for scaling compliance in complex supply chains 
  • Geolocation and polygon-level verification are essential for EUDR readiness 
  • Real-time monitoring reduces risk and improves decision-making 
  • Traceability platforms enable both compliance and operational efficiency 
  • Sustainability and competitiveness can go hand-in-hand with the right technology 

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Download your Achieving EUDR Compliance in Soy Supply Chains with AI-Powered Traceability  here

Download your Achieving EUDR Compliance in Soy Supply Chains with AI-Powered Traceability  here

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