Slide 1: ICE Commodity Traceability – An EUDR Solution
ICE Commodity Traceability – An EUDR Solution 26th June 2025 Toby Brandon, COO, ICE Benchmark Administration Tom Evans, Senior Director, Legal and Compliance , ICE Benchmark Administration Professor Ed Mitchard, Co-Founder and Chief Scientist, Space Intelligence Thomas Vassen, Co-Founder and CEO, Me
Slide 2: About ICE and IBA
About ICE and IBA ▪ Part of the ICE group, a leading provider of financial technology and data services and operator of a number of exchanges and clearing houses globally ▪ ICE’s benchmark Cocoa, London Cocoa, Coffee C® and Robusta Coffee futures and options contracts are the largest markets in the
Slide 3: Objectives
Objectives • Support collection, storing, testing and sharing of Due Diligence Information (DDI) • Assist users in demonstrating and ascertaining that cocoa products are deforestation-free and lawfully produced when entering the EU market, to support trade • Apply public, transparent, review and val
Slide 4: Supporting operators with EUDR compliance obligations
Supporting operators with EUDR compliance obligations Data sources Operators within supply chain ICE CoT: facilitating trading and supporting regulatory compliance National Third Party Auditing, Surveillance traceability and Assurance Mechanisms systems In house ICE Commodity traceability Traceabili
Slide 5: Supporting operators with EUDR compliance obligations
Supporting operators with EUDR compliance obligations ICE CoT platform solutions for due diligence Article 9 Due Diligence Information (DDI) Data sharing and Due Article 10 Risk assessment Article 11 Risk Mitigation collection and storage Diligence Statement (DDS) Verification, analysis, product ris
Slide 6: ICE CoT data components
ICE CoT data components Three key data components are collected and tested against our methodologies Farm plot data Specification and validation methodology, based on Meridia VerifyTM Farm, using Space Intelligence mapping data and protected areas layers, designed to test whether plots are deforesta
Slide 7: Farm plot data
Farm plot data Specification and validation methodology 7
Slide 8: Farm plot and aggregator data inputs
Farm plot and aggregator data inputs Farm plot information Aggregator information ICE CoT farm methodology ▪ Country ▪ Country ▪ ICE CoT tests these farm plot data inputs using the Farm Plot Data Methodology ▪ Commodity ▪ Commodity ▪ Tests against: ▪ Farmer ID ▪ Aggregator Name and Address ▪ Best-in
Slide 9: ICE CoT farm plot data methodology tests
ICE CoT farm plot data methodology tests veloped with Meridia e and ■ Farm overlaps with deforestation esd Sp ■ Farmer has implausibly high number of anc ac farms ■ Farm overlaps with forest l er e to Farm plot is distant from farm plots with the In ■ Farm overlaps with protected area d ■ te an same
Slide 10: ICE CoT platform dashboard
10 lice Dashboard Legal Questionnare ‘Agaregetors ‘agregar oats Face ‘oat Agregar Facies Facky Data Fle Search Fctien Farm Piots Fam Pt Fes Dasctvaion lt Fis crateoes oad an Plt Fe Parcels pon Pace Fe IGE Bodo Looe ‘ranetere Ireoming Taner: ‘utacna Taner Tansee Poce! Downloads File Details county Ce
Slide 11: EUDR with Audit-Grade Mapping Data: June 2025
EUDR with Audit-Grade Mapping Data: 26 June 2025 Prof Ed Mitchard ed@space-intelligence.com Space Intelligence Ltd, UK company number SC595836, VAT number GB342811714. Copyright © 2023 Space Intelligence Ltd. All rights reserved. 11
Slide 12: Why make custom maps for ICE CoT?
Why make custom maps for ICE CoT? What were the alternatives? ● Could have used open access maps, e.g. Country Vietnam Côte Hansen et al/Global Forest Change (Uni Maryland / d’Ivoire Google) EU Joint Research Centre Tropical Moist Forest EU Global Forest Cover for 2020 V2 Number 12 795 52 115
Slide 13: About Space Intelligence
About Space Intelligence We provide the highest accuracy nature data to bring integrity and trust to forest conservation and restoration initiatives Trusted by ● 3 billion hectares of land mapped over 53 countries ● Selected as sole NBS data provider for ICE CoT ● Selected as sole NBS data provider
Slide 14: Space Intelligence Founders
Space Intelligence Founders Dr Murray Collins Prof. Ed Mitchard CEO, Founder Chief Scientist, Founder 14
Slide 15: Key publications
Key publications Over 100 publications on satellite mapping • E.T. Mitchard et al., 2009. Using satellite radar backscatter to predict • E.T Mitchard et al., 2014. Markedly divergent estimates of Amazon forest above-ground woody biomass: A consistent relationship across four carbon density from grou
Slide 16: AI & Engineering team
AI & Engineering team: Created nature mapping data engine Dr Stephanie Earp AI RnD Lead 16
Slide 17: Science & ecology team
Science & ecology team: World class maps Dr Paula Nieto Quintano Head of Mapping and Carbon Science 17
Slide 18: How we make EUDR maps
How we make EUDR maps Field Data 18
Slide 19: A year of optical satellite data, Brazil
A year of optical satellite data, Brazil 19
Slide 20: A year of radar satellite data, Brazil
A year of radar satellite data, Brazil 20
Slide 21: How our process works
How our process works Inputs Data Validation Land Cover Accuracy Assessments Carbon Stock Uncertainty Estimates Best input data + Class leading technology + Experts (Tech, AI, Ecology) + Tests + Iteration 21
Slide 22: Brazil Tree Crop Area maps
HB non forest Bl core forest Brazil Tree Crop Area maps Ill Coffee or Cocoa i
Slide 23: Coffee plantation in Brazil - example
Coffee plantation in Brazil - example Farm boundary Coffee identified within the farm boundary 23
Slide 24: Brazil land cover change maps
Brazil land cover change maps LC map 2020 LC map 2024 24
Slide 25: Forest edge maps 2020/2024
Forest edge maps 2020/2024 Forest/non-forest map 2020 Forest/non-forest map 2024 25
Slide 26: Mapping deforestation
Mapping deforestation LC change map 2020-2024 Farm pass/non-pass 26
Slide 27: Farm plot data verification
Farm plot data verification Thomas Vaassen Co-founder and CEO at Meridia 27
Slide 28: Meridia is an AgTech company specialised in field data software
Meridia is an AgTech company specialised in software solutions for field data within complex agri-commodity supply chains 10+ years experience Verified 3M farm plots 100+ employees experience within supply (11M+ Ha uploaded) around the world chain data Trusted by 28
Slide 29: Field-proven data quality testing
Field-proven data quality testing • 30+ data quality tests focusing on integrity, consistency, and plausibility checks followed by an actionable guide for suppliers. • Local ground-truthing and large network of local contacts to refine methodology, validate assumptions, and access jurisdictional dat
Slide 30: Local-law conformant legality checks
Local-law Sui River Forest Reserve Legal framework: Establishment of protected areas in conformant legality Forest Act (1927). Establishment of Forestry Commission (The 1992 Constitution of Ghana: Chapter 21, Article 269) checks and right to manage protected areas (Forestry Commission Act, 1999 (Act
Slide 31: Fast, scalable, and audit-ready trading of coffee and cocoa
Fast, scalable, and audit-ready trading of coffee and cocoa Meridia Verify helps to save MRV resources on risk mitigation before you submit your data to ICE CoT. If all other data is All relevant buyers Identify gaps Risk mitigation Produce GeoJSON correct ICE CoT in the supply chain and risks in an
Slide 32: Thank you!
Thank you! Thomas Vaassen Co-founder and CEO at Meridia 32
Slide 33: Lawful production and compliance risk data
Lawful production and compliance risk data Questionnaires and review protocol 33
Slide 34: Solution structure
Solution structure Two-stage questionnaire to understand the IMS in place Questionnaires are standardised: country-specific details are listed in the Lawful Production Annex and Risk Mitigation Annex Aggregator Systems • Gathers key information about the IMS and aggregators in the supply chain Quest
Slide 35: Aggregator systems questionnaire
Aggregator systems questionnaire Understanding systems in place for supply chain management Part 1 IMS and Audit Part 2 Traceability at the Aggregator ▪ Identification of relevant aggregators in each specified country ▪ IMS can track commodities from the farmer into the product parcels supplied by e
Slide 36: Lawful production and compliance risk questionnaire
Lawful production and compliance risk questionnaire Assesses the systems and processes in place with respect to specific origin laws identified for each relevant EUDR topic (land use rights, environmental protection, TPR and FPIC, labour rights and human rights, tax, anti-corruption, trade and custo
Slide 37: Development of the Lawful Production Annex
Development of the Lawful Production Annex Lists applicable legislation per country of production for each EUDR legal topic 1 2 3 Refinement and annex Mapping of applicable laws Requirement identification generation • Based on the key EUDR thematic • Local legal expert review and • Scoping to EUDR p
Slide 38: Development of the Risk Mitigation Annex
Development of the Risk Mitigation Annex Lists relevant mitigation measures per EUDR legal topic Measures based on OECD guidance and expert sustainability input Communicate Identify and progress assess risks Where a risk of non-compliance is identified, mitigation measures must be identified: • Risk
Slide 39: Physical flow traceability data
Physical flow traceability data Specification and validation methodology 39
Slide 40: ICE CoT: Traceability overview
ICE CoT: Traceability overview Connecting uploaded and validated farm plots and aggregators to product parcels Traceability data model ■ Simple and effective: Offers a straightforward traceability model that traces back to aggregators and associated farm plots with key data requirements at each supp
Slide 41: Tracking parcels with events
Tracking parcels with events ICE CoT tracks the flow of parcels through the supply chain, using the following event types that represent real world activity: ▪ CreateParcel – sourcing of product from an aggregator is the start of every traceability tree: links the traceability data to farm plots ▪ T
Slide 42: Physical flow traceability data inputs
Physical flow traceability data inputs Create Parcel Transport Operation Warehousing Shipping (sourced from Aggregator) ▪ Country ▪ Country ▪ Country ▪ Country ▪ Country ▪ Event ID ▪ Event ID ▪ Event ID ▪ Event ID ▪ Event ID ▪ Event Date ▪ Event Date ▪ Event Date ▪ Event Date ▪ Event Date ▪ Aggregat
Slide 43: Traceability tree example
Traceability tree example Event ID 1 Event ID 3 Event ID 5 Out Parcel: Beans A Out Parcel: Beans B Out Parcel: Beans C Create parcel Event ID 2 Event ID 4 Event ID 6 In Parcel: Beans A In Parcel: Beans B In Parcel: Beans C Out Parcel: Beans A Out Parcel: Beans B Out Parcel: Beans C Transport Event I
Slide 44: Physical flow traceability data methodology tests
Physical flow traceability data methodology tests Full Traceability Volume Reasonability Country Check Aggregator Check All parcels submitted to ICE CoT must The volume of product for a set of farm ICE CoT lawful production and risk ICE CoT aggregator and lawful be fully traced back to a set of farm
Slide 45: Risk assessment and mitigation
Risk assessment and mitigation 45
Slide 46: Risk assessment and mitigation
Risk assessment and mitigation Risk assessment ▪ Article 9 DDI is collected, analysed, and validated through: ▪ Embedded risk assessment and mitigation processes, ▪ Mandatory input data requirements and methodology tests summarized in the dashboard, supports users in ▪ Questionnaire completion and r
Slide 47: Risk assessment dashboard
Risk assessment dashboard • Sets out how ICE CoT risk assessment process maps onto EUDR Article 10 criteria EUDR Article 10 criteria • Based on the collected DDI • One risk assessment dashboard is shown for each production country • Incorporates relevant reference data (e.g. forest/deforestation sta
Slide 48: Acceptance of parcels in ICE CoT: The 'badge'
Acceptance of parcels in ICE CoT: The ‘badge’ 48
Slide 49: ICE CoT badge
ICE CoT badge 1. Farm data 2. Lawful production and risk data ▪ Mandatory data uploaded and tested against ▪ All lawful production and compliance risk methodology information provided through completion of ▪ Deforestation tests use Space Intelligence maps questionnaires and reviewed ▪ Protected area
Slide 50: ICE CoT enables frictionless selling and buying of 'badged' product
ICE CoT enables frictionless selling and buying of ‘badged’ product Supply chain actors outside EU – not directly subject to EUDR Supply chain actors in EU – subject to EUDR Origin supply chain: Exporter collects and Subsequent actors collect Operator and subsequent traders may create and submit a D
Slide 51: ICE CoT control framework
ICE CoT control framework Data specifications and Governance and oversight Grievance, challenges methodologies, membership ■ Advisory and Oversight Committee comprised surveillance of key stakeholders ■ Compliance-risk grievance mechanism ■ Robust internal specifications, methodologies and technolog
Slide 52: ICE CoT value proposition
ICE CoT value proposition The ICE CoT platform is designed to maintain access to the EU market ICE CoT advantages IBA ICE technology Standardisation Supports Due Supports Surveillance, 3rd Party governance and data and efficiency Diligence under NCA’s by grievance and independent and trust managemen
Slide 53: Visit our public methodology on the ICE CoT website
Visit our public methodology on the ICE CoT website 53
Slide 54: Questions?
Questions? 54
Slide 55: Information and Disclaimers
Information and Disclaimers ICE Benchmark Administration Limited is authorised and regulated by the UK’s Financial Conduct Authority for the regulated ac tivity of administering a benchmark. Administering ICE CoT is not a regulated activity. This presentation contains information that is strictly co
Slide 56: About Intercontinental Exchange
About Intercontinental Exchange Intercontinental Exchange (NYSE:ICE) is a Fortune 500 company that operates a leading network of global futures, equity and equity options exchanges, as well as mortgage technology, and global clearing and data services across financial and commodity markets. The New