The European Union Deforestation Regulation (EUDR) enacted through Regulation (EU) 2023/1115 shifts the compliance basis for agricultural commodities from document-based traceability to geolocation evidence and land history verification. Coffee, alongside cocoa, palm oil, soy, rubber, timber, and cattle, must now be demonstrably free of association with deforestation or forest degradation after the cut-off date of 31 December 2020.

This article presents the results of a Deforestation Risk Assessment (DRA) and forest-to-coffee conversion analysis for the period 2001–2024 across three major coffee-producing provinces in Vietnam’s Central Highlands: Dak Nong, Lam Dong, and Dak Lak. The assessment is not designed to render a legal verdict on Vietnamese coffee. It is a prioritisation tool — a framework that helps supply chain actors identify where evidence needs strengthening, where geolocation verification should be prioritised, and how compliance resources can be deployed proportionally.

Results reveal sharp differences across provinces and districts. Dak Nong recorded the largest conversion: 21,121 ha or 4.97% of its year-2000 forest cover, concentrated in two dominant districts: Dak Song (10,982 ha, 22.58%) and Dak R’Lap (9,272 ha, 7.73%). Lam Dong recorded 9,518 ha with hotspots in Di Linh (5,769 ha) and Bao Lam (3,276 ha). Dak Lak recorded 5,731 ha with high local intensity in Cu M’gar (9.81%) and Krong A Na (7.53%).

This article builds a narrative from the assessment results: reading spatial conversion patterns as a risk-filtering basis, identifying priority districts, and translating analytical findings into operational implications for due diligence, evidence packs, and supplier engagement.

EUDR and the Shift to Spatial Evidence

For years, questions about coffee origin were answered by country name, purchasing region, or cooperative network. Under EUDR, that answer is no longer sufficient. Origin must be demonstrable as a production location tied to specific land, spatially verifiable, and unconnected to deforestation after the 31 December 2020 cut-off.

EUDR requires operators and traders to maintain evidence-backed due diligence statements. For plots larger than four hectares, the perimeter must be described by a polygon; for smaller plots, coordinate points may be used. This means compliance is moving toward precision sourcing: every batch must be traceable to a specific, verifiable production location.

Three evidentiary nodes of EUDR must operate simultaneously: geolocation as the entry gate, deforestation risk analysis as the interpretive layer, and the evidence pack as the auditable output. Without all three, traceability becomes merely a transaction record — not a guarantee of deforestation-free sourcing.

Coordinates only answer ‘where’. The next questions — whether the plot was previously forested, whether there was any tree cover loss after the cut-off, and whether the supply chain is free of blending — can only be answered through systematic spatial analysis.

Assessment Methodology

This assessment employs two complementary analytical layers: (1) a historical forest-to-coffee conversion analysis for the period 2001–2024, and (2) a predictive model-based Deforestation Risk Assessment. Both are grounded in coffee farm geolocation data and consistent forest cover datasets.

1. Forest-to-Coffee Conversion Analysis

The first layer reads what has historically occurred. Tree cover loss data from Hansen et al. (2013) was combined with coffee plantation layers to identify areas where forest was converted to coffee cultivation over a two-decade period. The analysis produces per-province and per-district metrics: absolute conversion area (ha), year-2000 forest cover as baseline, and percentage of forest replaced as a measure of relative intensity.

The Area of Interest (AOI) encompasses all districts across the three provinces: Dak Nong, Lam Dong, and Dak Lak. The primary unit of analysis is the administrative district, which provides sufficient resolution for operational prioritisation without losing provincial landscape context.

Figure 1. Area of Interest (AOI): districts in Dak Nong, Lam Dong, and Dak Lak, Vietnam

2. Deforestation Risk Assessment

The second layer constructs a forward-looking risk probability surface. The DRA workflow begins with geolocation data preparation: invalid polygons are corrected, very small artefacts are removed, and plots are clipped to the AOI. A working coffee mask is generated through rasterisation at 100-metre resolution.

The forest baseline is built from historical forest extent minus tree cover loss through the end of the analysis window. Recent loss is read within a five-year rolling window as the model’s target label. Spatial features used include: proximity to settlements (GHSL), permanent water bodies (JRC), coffee plantations (coffee mask), elevation and slope (SRTM), and administrative boundaries (FAO GAUL).

A Random Forest model is trained on balanced samples of recent loss and stable forest. The output is a relative risk probability surface aggregated to approximately 1 km grids and classified into five priority tiers: Low, Medium Low, Medium, Medium High, and High.

Figure 2. Deforestation Risk Assessment (DRA) output: relative risk probability surface classified into five tiers across the AOI

3. Assessment Results: Provincial Overview

At the provincial level, the assessment produces three headline figures that serve as the entry point for risk interpretation. Total indicated forest-to-coffee conversion across the entire AOI reached 36,371 ha — unevenly distributed across three provinces with markedly different profiles.

Table 1. Summary of assessment results by province. Source: Spatial forest-to-coffee conversion analysis, 2001–2024.

Dak Nong dominates with 21,121 ha — more than 58% of total AOI conversion. More significant than the absolute figure is its relative intensity: nearly 5% of all Dak Nong forest cover from the year 2000 has been converted to coffee plantations over two decades. This is an ecologically significant figure and directly relevant to due diligence frameworks.

Lam Dong recorded 9,518 ha at a provincial rate of 1.33%. This lower percentage requires contextualisation with district-level data — Lam Dong’s very large forest base (over 716,000 ha) dilutes the provincial intensity, even as several of its districts contain substantial conversion volumes.

Dak Lak recorded 5,731 ha or 1.05%. As Vietnam’s most iconic coffee province, the comparatively smaller total does not imply uniformly low risk. As shown in the district analysis, several areas of Dak Lak exhibit local intensities strong enough to trigger enhanced due diligence.

Assessment Results: District Analysis and Hotspots

District-level assessment is the most operationally actionable layer. This is where risk differences become sharp enough to support differentiated procurement decisions. Of the 30 districts within the AOI, the majority of conversion is concentrated in just six.

1.  Conversion Distribution by District

Table 2. Ten districts with the highest indicated forest-to-coffee conversion

Two districts in Dak Nong — Dak Song and Dak R’Lap — dominate strikingly. Dak Song recorded 10,982 ha of conversion at 22.58% intensity: more than one-fifth of its local forest has changed function. This places Dak Song as the highest-risk district across the entire AOI in both absolute scale and relative intensity.

In Lam Dong, Di Linh recorded 5,769 ha — the third largest in the AOI — though its intensity is more moderate at 4.77%. Cu M’gar in Dak Lak shows 9.81% local intensity, significant because of its smaller forest base (34,492 ha).

2.  Reading Two Risk Dimensions: Area vs. Intensity

This assessment employs two dimensions that do not always align: conversion area (ha) as a measure of absolute risk scale, and percentage of forest replaced as a measure of relative intensity against the local forest base. Both must be read together to avoid oversimplification.

Table 3. Risk profile matrix for the six primary hotspot districts.

Dak Song is the only district that stands out in both dimensions: the highest area and the highest intensity. This makes it the unambiguous top-priority district, free from interpretive ambiguity. Dak R’Lap follows with a large scale despite more moderate intensity — which still places it firmly in the high-risk tier.

Cu M’gar is notable for its inverse pattern: smaller area than Di Linh, but local intensity (9.81%) is substantially higher. This means that within the district’s context, conversion pressure on local forest is deeply felt. A similar situation exists in Krong A Na (7.53%) — an intensity that cannot be overlooked despite a smaller absolute volume.

Figure 3. District hotspot map based on indicated forest-to-coffee conversion with intensity gradation

Risk Profiles of the Three Provinces

Once district figures are read, the assessment builds distinct risk profiles for each province. These profiles are not merely statistical summaries — they are the basis for proportional due diligence strategies.

Dak Nong is the risk epicentre of this assessment. With 21,121 ha of conversion (58% of total AOI) and a provincial intensity of 4.97%, Dak Nong already stands out at the aggregate level. But the most critical reading is at the sub-level: Dak Song and Dak R’Lap together account for more than 95% of all provincial conversion. Risk in Dak Nong is not evenly distributed — it is spatially concentrated. The due diligence implication is concrete: companies sourcing from Dak Nong must demonstrate that supply does not originate from these two districts — or, if it does, that the geolocation of specific plots does not intersect with historical conversion areas and that no tree cover loss occurred after the 2020 cut-off.

Lam Dong’s provincial percentage (1.33%) can easily be misread as a low-risk signal. The assessment shows that reading is misleading if it stops there. Lam Dong’s very large forest base (716,909 ha) dilutes the provincial percentage, but does not erase the fact that Di Linh (5,769 ha) and Bao Lam (3,276 ha) have recorded real conversion volumes. Di Linh is Vietnam’s most important arabica coffee production centre. Procurement volumes from this district tend to be large in many companies’ portfolios. The combination of substantial historical conversion and Di Linh’s strategic role in premium coffee supply chains makes it a verification priority that cannot be ignored on the strength of a low provincial percentage alone.

Dak Lak is Vietnam’s most famous coffee province — and that reputation can itself become a hidden risk under EUDR. A region’s reputation does not substitute for plot-level proof. The assessment shows that while Dak Lak’s total conversion is smaller (5,731 ha, 1.05%), Cu M’gar (9.81%) and Krong A Na (7.53%) have local intensities that are sufficiently strong. Buon Ma Thuot City, as the largest coffee collection hub, recorded 590 ha of conversion at 5.50% intensity — a figure relevant because of the very large supply volumes passing through and the higher potential for origin blending across districts.

From Assessment to Action: The Due Diligence Framework

The assessment produces signals — not final decisions. Its value lies in its capacity to transform complex data into concrete, proportional action priorities.

1. The Agriplot Due Diligence System

The Agriplot Due Diligence System is a purpose-built, web-based platform designed to meet the EUDR’s plot-level compliance demands. The platform integrates supply chain data, multi-temporal satellite imagery, and AI-powered geospatial analytics to generate the plot-level visibility required for due diligence. In the context of Vietnamese coffee, Agriplot functions as the bridge between farm geolocation data in the field and the forest loss database — enabling users to verify whether a given plot has a history of deforestation after the 31 December 2020 cut-off.

Research by Murti et al. (2026) demonstrates that dashboard-based systems of this kind — linking data from the product level down to the individual plot — represent critical infrastructure for meeting EUDR requirements while also advancing regenerative agricultural practices more broadly.

An audit-ready evidence pack for coffee under EUDR requires four interconnected layers:

Table 4. Four evidence-pack layers for EUDR coffee due diligence.

This assessment contributes most directly to the third layer: signalling where land history needs to be examined more intensively. It does not replace plot verification, but determines where that verification should be prioritised.

2. Legal Production: Land Legality as an Evidence Requirement

EUDR is often discussed as a deforestation-free regulation, but the compliance test is broader. The commodity also has to be produced in accordance with the relevant legislation of the country of production. For coffee, this makes legality a separate evidence question: a plot may pass a forest-loss overlay, while still requiring confirmation that production is legally grounded under applicable land-use, tenure, environmental, labour, tax, or other national requirements.

In practice, legality evidence should be connected to the same origin record used for geolocation and land-history screening. A supplier file should therefore link the farm or farmer group to a declared plot, the available farmer or cooperative registration record, land-use or supplier declaration, and any clarification needed for disputed or incomplete cases. The purpose is not to overburden smallholders with paperwork, but to make the evidence pack internally consistent and auditable.

3. Inside the Agriplot Dashboard

The Agriplot dashboard is a visual interface designed to translate complex geospatial data into operationally actionable information. The main view displays several functionally integrated components:

Figure 4. The Agriplot Due Diligence System dashboard

In the Vietnamese coffee context, the integration of district-level results from this assessment with a platform like Agriplot creates a two-layer system that reinforces itself: spatial analysis at the district level provides a macro risk map for procurement prioritisation, while Agriplot supplies the micro verification infrastructure to demonstrate that specific plots do not intersect with historical conversion areas and are free of tree cover loss after the 2020 cut-off.

Coffee Supply Chain and Export Flow Context

The spatial assessment becomes easier to use when it is read alongside the way coffee moves commercially. In practice, origin is not created by one export record. It is built through a chain of farms, buying points, collectors, cooperatives, processors, exporters, and buyers. This is why shipment-level data is useful for understanding market exposure, but cannot replace farm-level traceability.

For EUDR, the operational question is therefore twofold. First, can a commercial lot be traced back to the farmers and land parcels that produced it? Second, can the same origin record support deforestation screening, legality checks, and supplier follow-up when risk is detected?

1. From Farmers to Exporters

A typical coffee flow begins with farmers producing cherries or dried beans. Collectors and local buyers then consolidate small volumes from many farms. Cooperatives, traders, or processors may sort, dry, grade, store, and prepare coffee for a specification. Exporters arrange the formal shipment, while overseas buyers, roasters, or operators receive the product and make regulatory decisions.

Each hand-off changes the evidence problem. At the farm level, the core questions are plot identity, land history, and legal production. At collection level, the question becomes whether coffee from different farms or villages has been mixed before documentation is complete. At exporter level, the question becomes whether the shipment can be reconciled back to the intake lots and farmer lists behind it.

Industry examples show why this distinction matters. The Global Coffee Platform describes Simexco Daklak as a leading Vietnamese coffee exporter with a farm-gate purchasing network, training and quality-control activities in growing areas, and annual green-coffee purchasing and export capacity of more than 100,000 tonnes (Global Coffee Platform, 2023). Vietnam Agriculture Newspaper also reports that enterprises and cooperatives in Lam Dong and Dak Lak are building raw material areas through farmer linkages, including company relationships with thousands of households and cooperative sales to exporters such as Simexco Daklak and Dakman (Vietnam Agriculture Newspaper, 2023).

The implication is direct: an exporter name is useful, but it is not enough. Compliance evidence has to follow the coffee upstream, especially where a shipment is assembled from many small farms, multiple collectors, or several villages within one commercial lot.

2. Export Flow as a Trade Lens

The Sankey diagram below complements the spatial assessment by showing the main commercial routes in the filtered Vietnam-origin coffee export dataset. It helps identify major shipper-buyer relationships and destination markets. It should not be read as proof of plot-level compliance, because trade-flow data does not show whether each shipment is linked to farm geolocation, segregated lots, or land-history checks.

Figure 5. Vietnam coffee export flow, top 20 shipper-buyer pairs, 2025. Flow width represents shipment count. Source: Panjiva consolidated shipment dataset; analysis by author.

Table 5. Main destination markets for Vietnam-origin coffee exports in the filtered dataset.

Table 6. Selected top shipper-buyer flows used to support the Sankey interpretation.

3. Blending Risk and Lot-Level Traceability

The most material traceability risk in coffee is often not the exporter name itself. It is the possibility that coffee from many farms, villages, or districts is combined into one commercial lot before the evidence is complete. A shipment can have a clear shipper and consignee while still containing coffee from multiple production areas with different land histories.

Under EUDR, that matters because a deforestation-free conclusion must be supported by a traceable link between the shipment, the commercial lot, the supplier intake records, and the relevant farm geolocations. If the lot cannot be reconciled back to its contributing farms, then the shipment has an evidence gap even if the exporter is known and the destination market is clear.

For hotspot districts identified in this assessment, companies should test whether lots were segregated, whether purchase records can be reconciled with farmer lists, whether weight balances are plausible, and whether the declared origin matches the physical flow of coffee. Where traceability is incomplete, the gap should be documented as a data-improvement issue and handled through a time-bound corrective action plan, not treated as affirmative evidence of compliance.

Supplier Engagement and Risk Response

The purpose of the assessment is to guide better engagement, not to label whole areas as unacceptable. A high-risk district is a signal that verification should be deeper and documentation should be stronger. It is not, by itself, evidence that every supplier or farmer in that district is non-compliant.

This distinction is important for smallholder-inclusive sourcing. If companies react to risk maps by excluding entire sourcing areas, compliant farmers inside those areas may be unfairly removed from the supply chain. A more proportionate response is to use risk tiers to prioritise data correction, supplier clarification, and targeted verification.

1. High-Risk Areas Are Not Automatic Non-Compliance

Suppliers in higher-risk areas should be asked for stronger geolocation evidence, clearer lot documentation, and written clarification where a plot intersects with historical conversion or recent tree-cover loss. Where the issue is data quality, the response should focus on correction and verification. Where the issue is confirmed post-cut-off deforestation or an unresolved legality concern, the sourcing decision should be escalated and documented.

This approach keeps the burden proportionate. It also creates a practical pathway for improvement: first map the supplier base, then reconcile lots, then test land history and legality, and finally record the sourcing decision with the reasoning behind it.

2. Control Points for Action

Table 7. Supply-chain control points and due diligence focus for EUDR coffee.

The control points show why EUDR evidence should be designed as a chain, not as a single document. The same shipment may require farmer geolocation, lot reconciliation, land-history overlay, legality review, and a supplier engagement record before it can support a defensible due diligence conclusion.

Operational Implications for Value Chain Actors

Each actor in the value chain reads the assessment results from a different position. This section translates the assessment findings into role-specific implications.

1. Operators and Exporters

Operators are closest to upstream data. The primary challenge: geolocation quality from farmers — imprecise coordinates, overlapping polygons, or unclear farm boundaries. Assessment-based recommendations:

• Prioritise geolocation data improvement programmes in Dak Song, Dak R’Lap, Di Linh, and Cu M’gar first.
• Ensure supply segregation systems distinguish lots with verified geolocation from those without.
• Build automated overlay processes between supplier coordinates and historical conversion layers as a standard part of lot intake.

2. Traders

Traders require sharp risk segmentation because they manage large volumes from many sources. Assessment implications:

• Group suppliers by origin district and risk tier — not merely by country or province.
• Apply differentiated evidence requirements: suppliers from High-risk districts require polygons and land history; Low-risk districts can be handled with coordinate points and standard documentation.
• Integrate district summaries from this assessment into supplier scorecard systems.

3. Roasters and Brands

Roasters and brands bear the weight of expectations from consumers, regulators, and auditors. Assessment implications:

• Deforestation-free claims must be systematically explainable: where the coffee originates, how its land history was checked, and how sourcing decisions were documented.
• This assessment can serve as the basis for a credible sustainability narrative — demonstrating that risk is read spatially, not merely claimed in general terms.
• For public communication, use precise language: ‘We conduct risk-based due diligence using spatial analysis’, rather than absolute claims that are difficult to substantiate.

Conclusion

The forest-to-coffee conversion assessment for Dak Nong, Lam Dong, and Dak Lak produces a clear picture: coffee-related deforestation risk in Vietnam’s Central Highlands is not uniformly distributed. It is concentrated in specific districts — particularly Dak Song and Dak R’Lap in Dak Nong, Di Linh in Lam Dong, and Cu M’gar in Dak Lak.

The total 36,371 ha of forest-to-coffee conversion identified over the period 2001–2024 should not be read as an indictment of the Vietnamese coffee industry. It is a risk map that helps supply chain actors ask more precise questions: from which district does this coffee originate, what is its land history, and is the available evidence sufficient to meet EUDR due diligence standards.

The primary value of this assessment lies not in the map itself — but in the way the map compels more precise questions, drives more structured documentation, and directs verification resources to locations that need them most. Over the long term, companies capable of reading risk spatially will be better positioned to substantiate deforestation-free claims — and better able to sustain equitable, responsible sourcing.

EUDR compliance for coffee cannot be resolved through a compelling origin narrative. It requires maps, data, and systems that connect the two into auditable evidence.

References

1. European Parliament and Council of the European Union. (2023). Regulation (EU) 2023/1115 on the making available on the Union market and the export from the Union of certain commodities and products associated with deforestation and forest degradation. Official Journal of the European Union.
2. European Commission. (2026). Regulation on Deforestation-free Products. Directorate-General for Environment. Retrieved May 2026 from https://environment.ec.europa.eu/topics/forests/deforestation/regulation-deforestation-free-products_en
3. European Commission. (2026). Frequently Asked Questions on the EU Deforestation Regulation, 5th iteration. Directorate-General for Environment.
4. Coffee Deforestation Risk Assessment (DRA), Dak Lak Province, Viet Nam. Technical report on methods, district analytics, and spatial deliverables (internal analytical document, 2025).
5. Spatial Forest-to-Coffee Conversion Analysis, Dak Nong, Lam Dong, and Dak Lak, Vietnam, 2001–2024. Provincial summaries, district summaries, AOI maps, indicative rasters (internal analytical document, 2025).
6. Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., Kommareddy, A., Egorov, A., Chini, L., Justice, C. O., & Townshend, J. R. G. (2013). High-resolution global maps of 21st-century forest cover change. Science, 342(6160), 850–853. https://doi.org/10.1126/science.1244693
7. Joint Research Centre (JRC), European Commission. (2023). JRC Global Surface Water Explorer and Forest Cover Monitoring datasets.
8. Global Human Settlement Layer (GHSL). (2023). GHS-BUILT and GHS-POP datasets. European Commission, Joint Research Centre. https://ghsl.jrc.ec.europa.eu
9. NASA Shuttle Radar Topography Mission (SRTM). (2000). SRTM 1 Arc-Second Global Elevation Data. U.S. Geological Survey. https://doi.org/10.5066/F7PR7TFT
10. Food and Agriculture Organization of the United Nations (FAO). (2015). FAO GAUL: Global Administrative Unit Layers. UN FAO.
11. FAO / Forest Data Partnership. Coffee Probability Layer and Regional Land Cover datasets (accessed 2024–2025).
12. General Statistics Office of Vietnam (GSO). (2023). Agricultural Statistics: Coffee Production Area and Output by Province.
13. Vietnam Ministry of Agriculture and Rural Development (MARD). (2023). Annual Forest Inventory and Reporting, Central Highlands Provinces.
14. Breiman, L. (2001). Random Forests. Machine Learning, 45(1), 5–32. https://doi.org/10.1023/A:1010933404324
15. Murti, S., Rahmawati, D. C., Pratama, M., Yazid, H., Ishak, Pamungkas, C., & Rafina, I. (2026). From product to plot: developing a visual dashboard to support beyond deforestation-free to regenerative supply chains. IOP Conference Series: Earth and Environmental Science, 1622, 012016. https://doi.org/10.1088/1755-1315/1622/1/012016
16. Global Coffee Platform. (2023). Meeting Members: Over a cup of coffee with SIMEXCO DAKLAK. https://www.globalcoffeeplatform.org/latest/2023/meeting-members-over-a-cup-of-coffee-with-simexco-dak-lak/
17. Vietnam Agriculture Newspaper. (2023). Robusta Coffee: Expanding raw material areas to meet orders. https://van.nongnghiepmoitruong.vn/expanding-raw-material-areas-to-meet-orders-d357765.html
18. Panjiva. (2025). Panjiva Consolidated Export Coffee 0901 shipment dataset. Shipment-level dataset used for supplementary trade-flow analysis.

As the European Union Deforestation Regulation (EUDR) moves toward its December 2026 implementation timeline, companies across relevant commodity supply chains are entering a more practical phase of preparation. The focus is no longer only on understanding what the regulation requires, but on whether compliance systems can work in practice.

The development of the EUDR Guidance Document from V1 to V3 shows how the interpretation of the regulation has matured. Guidance V1 built the initial foundation for understanding EUDR obligations. Guidance V2 clarified early implementation issues after the first postponement. Guidance V3 now provides the most relevant reference for 2026 readiness, as it aligns the updated timeline, simplified administrative obligations, refined role architecture, and the relationship between EUDR and other due diligence-related regulations.

For companies dealing with commodities such as palm oil, cocoa, coffee, rubber, soy, cattle, and wood, EUDR readiness depends on more than policy commitments, certification, supplier lists, or mill lists. It requires the ability to connect product scope, supplier information, production place, geolocation or valid postal address, legality evidence, risk assessment, mitigation, information custody, and trade documentation into one traceable and auditable system.

Products placed on, made available in, or exported from the EU market must still be deforestation-free, legal, traceable, and supported by evidence. What has changed is how responsibilities are distributed across different actors, how certain administrative steps may be simplified, and how companies should structure evidence to show that their compliance systems work in practice.

Guidance V3 brings several updates that companies need to translate into practical readiness.

Turning Guidance into a Working Compliance System

Across its development, the Guidance has shifted from explaining fundamental regulatory concepts toward a more operational compliance framework. Earlier versions focused on basic concepts such as placing products on the market, making products available, export activities, operator and trader obligations, product scope, due diligence, traceability, geolocation, legality, certification, and agricultural use.

These foundations remain important, but Guidance V3 moves further into implementation. The 2026 update places more emphasis on role-specific obligations, simplified due diligence, downstream and trader responsibilities, MSPO eligibility, the relationship with CSDDD and the Forced Labour Regulation, and the evidence systems companies need to prepare before the implementation deadline.

Role Architecture Becomes More Specific

One of the most important developments in Guidance V3 is the more explicit role architecture.

EUDR obligations are not determined only by the legal identity of a company. They depend on the role the company plays in relation to a specific product and transaction. A single legal entity may act as an operator for one product, a downstream operator for another product, and a trader in a different transaction.

This makes role and transaction mapping essential. Companies need to assess whether they are acting as an operator, downstream operator, trader, importer, exporter, service provider, micro or small primary operator (MSPO), or non-EU supplier in each relevant transaction.

Without this mapping, companies may misunderstand which obligations apply, who needs to submit a due diligence statement or simplified declaration, who needs to keep information, and who must respond when new risk information or substantiated concerns arise.

Simplification Still Requires Evidence Control

Guidance V3 introduces simplifications aimed at reducing administrative burdens for certain actors. However, these simplifications should not be interpreted as a reduction in responsibility.

For example, downstream operators and traders may not need to routinely carry out due diligence or submit a due diligence statement or simplified declaration for products already covered upstream. However, they still need to maintain information custody. This includes keeping relevant supplier and buyer information, storing reference numbers or declaration identifiers where relevant, and being able to provide information to competent authorities when requested.

If new information or a substantiated concern indicates possible non-compliance, downstream actors and traders may also need to inform competent authorities and relevant downstream actors, and carry out verification where required.

In practice, this means companies need strong internal controls over information flow. Even where submission obligations are simplified, the ability to prove coverage, traceability, and linkage remains critical.

MSPO and Simplified Due Diligence Need Careful Eligibility Checks

The updated Guidance clarifies that simplified treatment under the EUDR is limited and should not be read as a general exemption. A micro or small primary operator (MSPO) may use a simplified declaration only when specific criteria are met, including being a micro or small primary operator established in a low-risk country, directly placing or exporting relevant products, and acting as the primary producer of those products. In this context, primary production means that the entity has grown, harvested, obtained, or raised the relevant products itself.

The Guidance also explains that an MSPO may, in certain cases, use a postal address instead of geolocation, but only where the address clearly corresponds to the relevant plot of land or cattle establishment. This does not remove the need to maintain sufficient information and evidence. 

For sourcing from standard-risk or high-risk countries, simplified due diligence should not be assumed. Full due diligence remains necessary, including information collection, risk assessment, and risk mitigation where required. This is particularly important for mixed-origin volumes, unknown-origin material, or supply chains where traceability to production place is incomplete..

Product Scope and HS/CN Code Mapping Remain Critical

The Guidance continues to emphasize that EUDR product scope is determined by Annex I and HS/CN codes. This means product classification is a core readiness step, not an administrative afterthought.

Companies need to classify relevant products based on HS/CN code, product description, relevant commodity, virgin or recycled content, packaging status, and whether the product is a composite product. For composite products, companies need to identify which relevant commodities or products are included and whether they have already been covered upstream.

The Guidance update also reinforces the importance of tracking developments related to Annex I and the draft Delegated Act. Proposed changes include updates related to palm oil derivatives and oleochemicals, soluble coffee, frozen cattle tongues, hides, skins and leather, and retreaded tyres.

For palm oil supply chains, this is particularly important because downstream derivatives may be affected by changes in scope. Companies need to ensure that product scope mapping is kept up to date as regulatory interpretations and HS/CN code coverage develop.

Certification Supports Due Diligence, But Does Not Replace It

The Guidance maintains a consistent position on certification and third-party verification schemes. Certification can support risk assessment and mitigation, but it does not create a green lane and does not replace the operator’s due diligence responsibility.

This is an important point for companies that rely heavily on certification as part of their sustainability system. Certification may provide useful evidence, but companies still need to assess whether the scheme’s scope, governance, chain of custody, geolocation requirements, legality coverage, and treatment of mixing risk are aligned with EUDR expectations.

Supply Chain Complexity Must Be Controlled

Supply chain complexity remains a key risk factor under the Guidance. Risk increases when a supply chain includes many intermediaries, processors, collection points, or sources of production, especially where known-origin and unknown-origin materials may be mixed.

For palm oil, this issue is especially relevant where the supply chain includes smallholders, dealers, TTPs or PoDs, mills, refineries, traders, exporters, and EU-bound shipments. Companies need to understand how volumes move across these layers and whether product, supplier, geolocation, legality, and transaction data can be connected.

Traceability down to plantation or production place level, documentation on segregation, and volume reconciliation are critical to support a credible deforestation-free conclusion.

What Companies Need to Prepare

Guidance V3 shows that EUDR readiness needs to be built as a working compliance system. Several areas should become priorities:

• Product scope mapping based on Annex I, HS/CN codes, product description, relevant commodity, packaging status, recycled or virgin content, and composite product components.
• Role and transaction mapping to identify whether the company acts as an operator, downstream operator, trader, importer, exporter, service provider, MSPO, or non-EU supplier.
• Information collection and traceability covering supplier, buyer, country of production, production place or plot, geolocation or valid postal address, production date or range, volume, and supporting documents.
• Supply chain complexity control to map intermediaries, sourcing layers, mixing risk, and the connection between EU-bound volumes and production origins.
• Legality and geospatial evidence to support country risk review, production area verification, land-related documentation, deforestation screening, and field evidence where needed.
• Risk assessment and mitigation to ensure that negligible risk conclusions are provable and that non-negligible risks are addressed through specific mitigation actions.
• MSPO and simplified due diligence eligibility checks to confirm whether simplified pathways genuinely apply.
• Information custody for downstream actors and traders, including supplier/buyer information, reference numbers, declaration identifiers, and response protocols for substantiated concerns.
• Certification gap assessment to understand where certification supports EUDR evidence and where additional checks are needed.
• Due diligence system maintenance including annual review, updates when new developments arise, five-year record keeping, and independent review where relevant.
• Dry run and audit trail to test the end-to-end process before submission or authority checks.

Implications for Palm Oil Supply Chains

For the palm oil sector, Guidance V3 reinforces the need to move beyond high-level sustainability claims and test whether EU-bound volumes can be traced through the actual supply chain.

The priority is to ensure that shipments can be linked back to refinery, mill, dealer or TTP/PoD, supplier, farmer or production place, and that the material is not mixed with unknown-origin or non-compliant volumes.

Common readiness gaps include limited traceability from dealer or collection point to farmer or plantation, incomplete geolocation, weak volume reconciliation, overreliance on certification, and uncertainty around downstream derivative scope.

This means companies should start from EU-bound supply chains and conduct evidence review, geospatial screening, legality checks, volume reconciliation, and dry runs. The goal is not only to prepare documents, but to test whether the evidence chain is strong enough to support a deforestation-free and legal claim.

Preparing Compliance Systems for December 2026

The development of the EUDR Guidance from V1 to V3 shows a maturing compliance framework: more role-specific, more risk-driven, and more evidence-based.

The key question is not only whether companies understand the Guidance, but whether the interpretation has been translated into SOPs, data structures, evidence flows, review mechanisms, and audit trails.

For a deeper technical breakdown, read the full brief here:

“EUDR 2026 Compliance Readiness: Analysis of the Guidance Document’s Development Toward December 2026 Implementation.”

As the European Union Deforestation Regulation (EUDR) moves toward its December 2026 implementation timeline, companies across relevant commodity supply chains are entering a more practical phase of preparation. The focus is no longer only on understanding what the regulation requires, but on whether compliance systems can work in practice.

For companies dealing with commodities such as palm oil, cocoa, coffee, rubber, soy, cattle, and wood, EUDR readiness depends on more than policy statements, certification, or supplier declarations. It requires the ability to connect product, supplier, production place, geolocation, legality evidence, due diligence documentation, risk assessment, mitigation, and transaction records into one evidence-based system.

The development of the EUDR Frequently Asked Questions (FAQ), particularly the 5th iteration, provides important clarification on how companies should prepare for implementation. The FAQ has evolved from explaining general concepts into a more operational reference for readiness. It helps companies understand how obligations are distributed across supply chain actors, how information should be passed along the chain, and what evidence needs to be maintained to support compliance.

One message remains clear: simplification does not mean a lower compliance standard.

Products placed on, made available in, or exported from the EU market must still be deforestation-free, legal, traceable, and supported by evidence that can be tested. What changes is how responsibilities are allocated, how documentation is managed, and how companies prove the linkage between products, transactions, suppliers, production places, geolocation, legality evidence, and due diligence records.

From Understanding the Regulation to Testing the System

The earlier EUDR FAQ iterations focused on foundational issues such as product scope, due diligence, traceability, geolocation, timeline, and the use of the Information System. As the FAQ evolved, it began to address more practical implementation questions, including how obligations apply to different actors, how composite products should be assessed, how downstream operators and traders should manage information, how e-commerce transactions are treated, and how EUDR due diligence may support alignment with other EU regulatory requirements.

As a result, companies now need to ask whether their product data, supplier information, geolocation, legality evidence, risk assessment, mitigation process, and transaction documents are arranged in a way that can be verified.

In other words, the system must be clear, documented, and testable before the implementation deadline.

Key Clarifications from the FAQ 5th Iteration

One of the most important updates of the FAQ 5th iteration is the clarification of role architecture. EUDR obligations are not determined only by a company’s legal identity. They depend on the role a company plays in a specific product and transaction. The same company may act as an operator for one product, a downstream operator for another, and a trader in a different transaction. This means role mapping needs to be done at the product and transaction level, not only at the company level.

The FAQ also clarifies how DDS, simplified declaration, reference number, declaration identifier, and verification number should be understood and managed. This matters because readiness is not only about submitting data into the Information System. Companies need to make sure each identifier can be traced back to the right product, batch, shipment, supplier, and transaction documents, with supporting evidence kept in a clear and auditable format.

For downstream operators and traders, the FAQ introduces an important simplification. If a product has already been covered upstream, they may no longer need to submit a new DDS or a simplified declaration. However, this does not remove their responsibilities. They still need to keep relevant information, store the reference number or declaration identifier, maintain transaction linkage, and provide information to competent authorities when requested. They also need to have a clear process for handling substantiated concerns, including verifying the issue, escalating it internally, taking appropriate follow-up actions, and reporting to competent authorities. This shifts part of the compliance burden from repeated submission toward information custody, concern handling, and evidence-based response.

The clarification on MSPO also requires careful attention because it refers to a specific role category. An MSPO is a micro or small primary operator that is established in a low-risk country, directly places relevant products on the EU market or exports them, and is the primary producer of those products, meaning the entity has grown, harvested, obtained, or raised them itself. It should not be treated as a general exemption. Each entity still needs to check whether the MSPO criteria are met, whether a simplified declaration can validly be used, and whether supporting evidence such as geolocation, postal address, or due diligence records is still required.

Another key point is substantiated concern. A substantiated concern should not be treated as a passive grievance record. It can trigger verification, escalation, mitigation, communication to relevant parties, and documentation of the final decision. Companies therefore need a clear procedure to assess, follow up, and document concerns that may indicate non-compliance risk.

The FAQ also reinforces the role of the EUDR Information System and geospatial tools. The Information System remains the main channel for managing and submitting due diligence statements electronically. Meanwhile, geospatial tools such as Global Forest Cover 2020 and Global Forest Types 2020 can support deforestation screening and risk assessment. However, these data sources and tools are not mandatory, exclusive, or legally binding. They should not replace the broader due diligence process, but should be used alongside supplier information, legality evidence, production place records, transaction documents, and mitigation decisions.

What This Means for Companies

The practical implication is that companies need to prepare more than documents. They need to prepare the linkages between data, actors, products, evidence, and decisions.

Several readiness areas should become priorities:

• Product and transaction scope mapping to confirm which products fall under EUDR based on Annex I, HS/CN code, relevant commodity, product composition, and transaction pathway.
• Role mapping to identify whether the company acts as an operator, downstream operator, trader, MSPO, importer, exporter, service provider, or non-EU supplier in each transaction.
• DDS and simplified declaration workflow to define who submits, who receives identifiers, how identifiers are stored, and how they are linked to transaction documents.
• Information custody procedures for downstream operators and traders, including supplier and buyer information, reference numbers, declaration identifiers, and transaction linkage.
• Supplier and production place linkage to connect product, batch, volume, supplier, production place, geolocation, legality evidence, and supporting documents.
• Substantiated concern handling to ensure concerns are assessed, verified, escalated, mitigated, and documented.
• Geospatial and evidence review workflow to use geospatial tools as screening support, while still relying on broader evidence.
• End-to-end dry run and audit trail to test whether the compliance system can work in practice before implementation.

These areas show that EUDR readiness is not a one-time document exercise. It is a process of building a compliance system that can be checked, repeated, and improved.

Implications for Palm Oil Supply Chains

For the palm oil sector, the FAQ’s development is particularly relevant because many readiness gaps appear at the operational level.

The challenge is not only whether a company has a sustainability policy, certification, or supplier list. The real test is whether it can prove the linkage between EU-bound products and the sourcing base behind them.

This is especially important where supply involves dealers, TTPs, PoDs, smallholders, mills, refineries, traders, and exporters. Limited traceability from dealer or collection point to farmer or plantation, mixed-origin volumes, incomplete geolocation, weak batch and volume linkage, and overreliance on certification can all create readiness gaps.

For EU-bound palm oil products, companies need to ensure that supplier data, production place information, geolocation, legality evidence, volume reconciliation, risk assessment, mitigation decisions, and transaction records can be reviewed together. If one part of the evidence chain is missing, the company may struggle to support a deforestation-free claim or respond to authority requests.

Moving Toward 2026 Readiness

The development of the EUDR FAQ shows a move from basic regulatory understanding toward a readiness model that is more role-specific, data-linked, and evidence-based.

For companies preparing for December 2026, the key question is no longer only “Do we understand the EUDR?” but “Can we prove that our compliance system works in practice?”

Simplification may reduce certain administrative steps, but it does not reduce the need for traceability, legality, risk assessment, documentation, and evidence control. Companies still need to demonstrate that products are deforestation-free, legally produced, and supported by information that can be checked.

An EUDR-ready company is not simply one that has a policy or certification. It is one that can show that the FAQ clarifications have been translated into SOPs, data structures, evidence flows, review mechanisms, and audit trails that reflect the actual conditions of its supply chain.

For a deeper technical breakdown, read the full brief here:

➡️ EUDR 2026 Compliance Readiness: Analysis of the FAQ’s Development Toward December 2026 Implementation.

test dev

A supply chain can be data-rich and still difficult to read clearly. Information may already exist across reporting systems, supplier records, and traceability inputs, yet still fall short when companies need a clearer view of risk, governance, and where closer attention is needed.

That is what makes NDPE IRF v6 relevant. More than a reporting framework, it offers a clearer way to interpret supplier information across the supply chain. In doing so, it helps companies, buyers, and investors read readiness, traceability, historical exposure, and accountability in a more structured way.

What is NDPE IRF v6?

Put simply, NDPE IRF v6 (No Deforestation, No Peat, No Exploitation – Integrated Risk & Liability Framework version 6) is a risk and governance intelligence framework designed to help users assess supplier position in a more structured way. It helps users look at mill and parent company profiles, supply volume composition, traceability coverage, historical exposure, and the status of grievances and remediation progress.

Its value lies not only in the reporting format, but in its ability to turn complex supply chain data into risk profiles, progress categories, and governance insights that are easier to use in the context of NDPE governance, buyer due diligence, investor screening, and supply chain accountability.

What does NDPE IRF v6 look at?

In broad terms, the framework helps users assess five main areas:

• Supplier Profile and Volume
  Identifying the mill, parent company, and the IRF profile category attached to the relevant supply volume.
• FFB Sourcing Structure and Traceability
  Looking at how volumes are distributed across sourcing categories such as DMA, Independent Plantations, and Independent Smallholders, as well as traceability coverage such as TTM and TTP/TTPA.
• Historical Exposure
  Providing an indicative view of historical deforestation and peat exposure linked to attributable concessions or assets.
• Grievance and Remediation Progress
  Assessing grievance status, progress toward resolution, and the remediation evidence available.
• Smallholder and Dealer-linked Sourcing Risk Context
  Supporting the assessment of ISH and dealer-linked volumes through approaches such as Minimum Smallholder Deforestation or areas that may be treated as negligible risk under the PPBC/POCG MSD approach.

Why a framework like this matters

In complex supply chains, data does not always arrive in a form that is easy to interpret. Information may already exist across mills, sourcing volumes, traceability records, grievance updates, and remediation inputs, but still fall short when companies need a clearer view of supplier risk and governance. What is reported is not always easy to compare, and what is recorded is not always enough to support decision-making.

That is why companies increasingly need more than a reporting template. They need a way to read supply chain information in a more structured and operational way. This is where a framework like NDPE IRF v6 becomes useful: it helps turn scattered information into a clearer basis for engagement, monitoring, and screening. 

For buyers and investors, that also means a more organized view of mills, volumes, traceability, grievances, remediation, and governance signals, without always requiring full access to raw company data.

How it supports buyer and investor decision-making

NDPE IRF v6 helps buyers and investors build a more structured view of suppliers through:

• more consistent due diligence
  with clearer information on mills, volumes, traceability, grievances, and remediation;
• more focused investor screening
  through indicators of historical exposure and governance signals that can be compared more consistently;
• stronger NDPE governance
  through supplier progress classification and engagement prioritisation;
• stronger supply chain accountability
  with a reporting structure that is clearer, more evidence-based, and better aligned with market needs;
• more directed procurement decision-making
  through risk tiers and progress categories that help determine priorities for engagement, monitoring, or escalation.

The outputs NDPE IRF v6 provides

For a given reporting period, NDPE IRF v6 can generate:

Key limitations of NDPE IRF v6

It is important to understand that NDPE IRF v6 is not intended to serve as:

In other words, the framework is best understood as a tool for risk screening, governance intelligence, and progress reporting. Where plot-level assessment or geospatial verification is required for regulatory purposes, more specific methodologies are still needed.

Confidentiality remains important

One of the strengths of the framework is that it can be presented through categories, scores, indicators, and aggregated summaries. This allows buyers and investors to access relevant insights without requiring full disclosure of sensitive company data. In that way, market expectations around transparency can still be met, while preserving the level of confidentiality companies may need in handling their supply chain information.

The broader point

In the end, NDPE IRF v6 is not just about filling in an Excel reporting template. Its real value lies in helping companies read their supply chains more clearly: what is already visible, what remains weak, what shows progress, and what still needs closer attention.

For companies working to strengthen NDPE governance, supplier engagement, buyer due diligence, or investor-facing risk communication, the challenge is often not the absence of data, but the difficulty of structuring that data well enough to support better decisions.

That is where approaches to risk profiling, governance intelligence, and structured reporting become increasingly important. In a market where expectations around accountability and traceability continue to rise, the ability to turn data into more directed action will become an increasingly important part of responsible supply chain management.

At Inovasi Digital, we see this need growing across companies that are trying to strengthen NDPE governance and supplier risk visibility. The challenge is no longer only about collecting data, but about structuring it into something that is actually useful for decision-making.

The latest EUDR update will likely be welcomed by many companies. It responds to real implementation concerns: clearer roles, reduced duplication, lighter downstream obligations, and a more proportionate pathway for smaller operators. These adjustments matter. A system that is too repetitive or administratively heavy risks becoming difficult to implement in practice. The Commission’s recent update also points to continued efforts to make implementation more workable before the Regulation applies.

But the most important message is not simply that EUDR is becoming easier.

It is that the system is becoming more dependent on whether companies can rely on credible information at the source.

The update reduces repeated obligations across the supply chain, but it does not reduce the need for traceability, legality evidence, risk assessment, or defensible due diligence. In practical terms, fewer repeated checks downstream mean greater dependence on the quality of upstream information. The latest updates around downstream actors, micro and small primary operators, and simplified declarations all point in this direction: less administrative repetition, but more importance placed on reliable information moving through the chain.

From repeated compliance to targeted compliance

For many companies, the temptation will be to read simplification as a reduction in responsibility. That would be a mistake.

The shift is better understood as a move from repeated compliance to targeted compliance.

A single due diligence statement may reduce reporting friction, but it does not solve weak traceability. A simplified pathway may reduce burden for some smaller actors, but it does not remove the need for credible source-level evidence. Lighter downstream obligations may reduce duplication, but they increase reliance on whether upstream data is accurate, complete, and risk-based.

In other words, the Regulation may be becoming more workable, but the foundation it depends on is not getting lighter.

The implementation challenge is still upstream

This is where the gap between regulatory design and supply chain reality becomes most visible.

Regulations can clarify roles. They can simplify submissions. They can define who needs to provide what information.

But they cannot automatically create traceability in fragmented supplier networks. They cannot verify legality where documentation is weak. They cannot identify risk accurately if supplier structures, sourcing areas, or ownership links are poorly understood.

This matters especially in agricultural commodities, where products often move through complex and dynamic networks of growers, smallholders, intermediaries, processors, traders, and global buyers, making traceability and source-level evidence difficult to maintain.

That is why the real question for companies is changing.

It is not only:

“Can we submit the required information?”

It is increasingly:

“Do we understand our supply chain well enough for that information to hold?”

What companies should focus on now

The update should encourage companies to move beyond a narrow compliance checklist. The practical priority is to strengthen the foundations that make due diligence credible.

That means focusing on:

This is also where EUDR, NDPE commitments, and broader sustainability expectations increasingly converge. They may come from different frameworks, but they depend on the same operational foundation: supply chain intelligence that is traceable, defensible, and connected to real-world sourcing practices.

What this means for Inovasi Digital’s work

For Inovasi Digital, this update reinforces a point we have seen across many supply chains: data alone is not enough.

Companies increasingly need systems that do more than generate compliance outputs. They need systems that help them understand where risk sits, how suppliers are connected, and what type of engagement is needed when issues are identified.

This is particularly important as EUDR implementation begins to intersect with broader due diligence expectations, including the EU Corporate Sustainability Due Diligence Directive (EUCSDDD). While the two frameworks differ in scope and ambition, their operational foundations increasingly overlap: traceability, supplier visibility, risk assessment, legality evidence, and the ability to demonstrate that risks are being identified and addressed in practice.

In that sense, EUDR is becoming more than a standalone regulatory exercise. It is increasingly functioning as a foundational layer for broader supply chain due diligence systems.

That is why traceability, disclosure intelligence, monitoring, and supplier engagement cannot be treated as separate workstreams. They are part of the same operational logic: understanding supply chains well enough for sustainability commitments, regulatory expectations, and sourcing decisions to hold under scrutiny.

This is the direction the EUDR update points toward.

Less duplication is welcome. It makes the system more practical. But it does not make traceability optional, supplier engagement less important, or credible source-level evidence any less necessary.

The real takeaway is simple:

EUDR simplification does not reduce responsibility. It makes the foundations of responsibility more visible.

Traceability is no longer just a reporting requirement in the palm oil sector. It has become a core capability for companies seeking to operate in increasingly regulated and scrutinized global supply chains. 

As frameworks such as the EU Deforestation Regulation (EUDR) and NDPE IRF v6.0 continue to raise the bar, companies are under increasing pressure to show that their sourcing is not only documented, but also transparent, verifiable, and accountable. In that context, traceability has become closely linked to both credibility and market access.

That sounds straightforward in theory. In practice, it rarely is.

Palm oil supply chains are inherently complex, involving multiple tiers of suppliers, from plantations and independent smallholders to dealers, mills, and refineries. Visibility often stops at the mill level, while supplier data can be inconsistent and information systems fragmented. As a result, many companies still struggle to build traceability systems that are reliable enough to support both compliance and day-to-day decision-making.

Turning Fragmented Data Into Actionable Supply Chain Intelligence

Companies need a way to connect scattered data.

Inovasi Digital helps companies do that by combining supply chain information, geospatial analysis, and supplier engagement tools into a more cohesive and scalable system. This approach results in traceability systems that provide more granular visibility to support compliance, monitoring, and decision-making.

A big part of this comes down to moving beyond mill-level reporting. Instead of stopping at a facility, companies need to understand the sourcing landscape behind it. That means linking suppliers to geolocation data or polygon boundaries and building a more detailed view of where materials are actually coming from. This can include:

• direct managed plantations
• independent third-party plantations
• independent smallholders

With this level of visibility, companies are in a much stronger position to understand their sourcing structures, identify potential environmental and compliance risks, and respond to regulatory and sustainability requirements with more confidence.

From Mill-Level Reporting to Plot-Level Visibility

One of the most important developments in supply chain traceability is the shift from mill-level visibility to plot-level mapping.

Accurate spatial data plays a critical role in verifying the origin of raw materials and assessing environmental risks such as deforestation and land-use change. In practical terms, this means that traceability is no longer only about identifying which mill a product comes from, but also about understanding the sourcing landscape behind that mill.

As illustrated in the NDPE IRF v6.0 example for Napal Mill, publicly available datasets can be used to map actual mill suppliers. In this case, the supplier type is identified as Direct Managed Area. Where users already have plot-level data (whether as full-shaped maps, grid maps, or polygons), the requirements for achieving “delivering” status under NDPE IRF v6.0 can be met more effectively.

The Smallholder Challenge

The traceability challenge becomes even more complex when smallholders are involved.

Independent smallholders make up a significant part of the palm oil supply chain, but they are often the hardest to include in a structured traceability system. 

Through Agriplot, this challenge can be addressed at scale. The platform makes it possible to identify ownership status, capture geolocation data for individual plots, and organize this information in a more structured way.

The example of Agro Wira Ligatsa Mill illustrates this clearly. Smallholders connected to the mill have been mapped and further disaggregated by ownership. Under NDPE IRF v6.0, the key requirement for smallholders is the availability of location information at the village level. Based on this mapping, the mill would meet the criteria for achieving “delivering” status under the framework.

That may sound technical, but the implication is simple: when smallholder data is organized properly, traceability becomes far more achievable.

Traceability as a Strategic Asset

Traceability should no longer be seen as just a compliance task. When done well, it becomes a strategic asset, one that helps companies understand their supply base more clearly, respond to risk earlier, and build stronger confidence with buyers, regulators, and other stakeholders.

Through platforms such as Agriplot, companies can strengthen transparency, improve accountability, and support better supplier performance across the supply chain. More importantly, they can build the confidence needed to respond to both regulatory requirements and stakeholder expectations in a more credible way.

Building Trust Through Better Data

Ultimately, the future of sustainable supply chains depends on the ability to demonstrate traceability that is clear, accurate, and verifiable.

That is what traceability is really about.

Not just knowing the origin of a shipment, but being able to connect data, geography, suppliers, and evidence in a way that holds up under scrutiny. When digital systems make that possible, traceability stops being a compliance burden. It becomes something much more valuable: a foundation for trust, supporting stronger decision-making, more effective risk management, and long-term sustainability outcomes. 

One of the biggest questions in EUDR implementation has been a practical one: who is responsible, and at what point?

Who needs to conduct due diligence? When is that obligation triggered? Does responsibility restart at every stage of processing or trade, or does it move forward through the chain?

The 3rd Edition of the EUDR Supply Chain Infographics (March 2026) brings much-needed clarity to these questions. More than a visual explainer, it provides a more structured way of understanding how responsibility is assigned across different supply chain situations, whether commodities are produced within or outside the EU, and whether they are placed on the market or exported.

That clarity matters. But clarity alone does not remove the operational challenge. Companies still need systems that can connect supply chain data, define obligations, and maintain traceability across the chain.

This is where structured, integrated platforms become essential. Inovasi Agriplot, a supply chain compliance intelligence platform by Inovasi Digital, helps companies prepare for and fulfill EUDR requirements by bringing together geospatial data, supplier mapping, and due diligence workflows in one traceable system.

From Broad Obligation to Role-Based Responsibility

One of the most important clarifications in the 3rd Edition is this:

“EUDR compliance is determined by your role in the supply chain, not just the product you handle or your company type.”

This marks a shift from earlier interpretations, where compliance was often read as a repeated obligation across multiple actors. The 3rd Edition makes the structure more explicit: responsibility is triggered at a specific point in the chain, and once triggered, it generally continues forward rather than restarting at every step.

How the 3rd Edition Reframes Obligations Across the Supply Chain

1. Upstream Operator — Highest Compliance Burden

This is the actor who first places a relevant product on the EU market or exports it without prior upstream coverage.

This role carries the main responsibility, including:

• conducting due diligence, including risk assessment and mitigation
• submitting the Due Diligence Statement (DDS)
• ensuring products are deforestation-free and legally compliant
• collecting and maintaining plot-level geolocation data
• ensuring traceability back to origin
• maintaining verifiable evidence and documentation
• ensuring no mixing with unknown or non-compliant material

2. Downstream Operator — Targeted Traceability Burden

This applies to actors handling products already covered by upstream due diligence.

Their responsibilities shift toward:

• maintaining traceability to upstream sources
• ensuring information continuity, including referencing existing DDS
• keeping records and documentation linked to transactions
• ensuring that inputs are backed by valid due diligence
• preserving the link between products and their origin data
• ensuring no mixing with unknown or non-compliant material

They do not repeat due diligence if the inputs are already covered, but they still play an important role in keeping compliance intact.

3. Trader — Commercial Continuity Burden

This applies to actors making products available on the EU market after placement.

Their role focuses on:

• keeping records of suppliers and customers
• preserving and passing on relevant information, including DDS references
• ensuring products remain linked to valid upstream due diligence
• maintaining traceability documentation across transactions

In simple terms, compliance follows the product, but responsibility depends on the role.

EU vs Non-EU Commodities

Another important clarification in the 3rd Edition is how EUDR applies differently depending on where a product is produced.

For EU-produced commodities

For products produced within the EU, responsibility usually starts with the producer or the first company placing the product on the EU market.

This means:

• the upstream operator is usually located within the EU
• due diligence is triggered at the point of first placement or export

For non-EU-produced commodities

For products coming from outside the EU, such as palm oil, cocoa, or coffee from countries like Indonesia, the structure is different.

In most import scenarios:

• the EU-based importer becomes the upstream operator
• responsibility is triggered when the product is imported and placed on the EU market

This distinction matters because many companies instinctively focus on where a product is grown. The 3rd Edition makes it clearer that EUDR is structured around events in the supply chain, not geography alone.

Responsibility Across Different Supply Chain Scenarios

While the core principle remains the same, the 3rd Edition also clarifies how EUDR applies across nine different supply chain scenarios. These scenarios help show how responsibility shifts depending on production origin, product type, and market event.

*A more detailed breakdown of all scenarios is available in the full document.

Implications for Indonesian Upstream Operators

For Indonesian upstream operators, the implications of EUDR are significant even where the formal legal obligation is triggered at the point of import into the EU. In practice, downstream compliance can only be achieved if upstream actors are able to provide the underlying evidence required to support it. This means upstream operations are no longer assessed only in terms of production, but increasingly in terms of data quality, traceability, and the ability to substantiate compliance claims. The 3rd Edition helps clarify how responsibility begins and is carried across the chain, while also reinforcing a more practical reality: compliance readiness is built upstream, not only checked downstream.

Key implications for Indonesian upstream operators include:

• the need to provide accurate and complete plot-level geolocation data

• the need to demonstrate verified traceability from production origin through to export channels

• the need to support compliance claims with clear, consistent, and auditable evidence

• increased pressure to improve internal documentation, recordkeeping, and disclosure readiness

• greater commercial risk where upstream information is incomplete, inconsistent, or difficult to verify

• stronger expectations from buyers, importers, and downstream partners for structured and decision-ready information

• a shift in market access requirements, where upstream capability becomes part of commercial eligibility, not only regulatory response

In this context, readiness for upstream operators is no longer only about having the right documents on paper. It is about having information that is usable, verifiable, and sufficiently robust to travel across the supply chain and withstand scrutiny from external stakeholders. Companies that are able to build stronger upstream data, traceability, and disclosure systems will be better positioned to support downstream compliance, reduce perceived risk, and maintain access to more demanding markets.

What Has Not Changed

Despite these clarifications, the operational challenges remain substantial.

Companies still need to manage:

• plot-level traceability
• accurate geolocation data
• supplier mapping across complex networks
• evidence-based reporting and documentation

In other words, the 3rd Edition clarifies the rules, but it does not remove the work required to meet them.

A One-Stop Platform for EUDR Readiness and Compliance

This is exactly where Agriplot remains relevant.

As EUDR becomes more structured, companies need more than interpretation. They need a system that can accommodate the full set of requirements across upstream responsibility, downstream continuity, and the evidence needed to support both.

Agriplot brings those functions together in one place. By connecting supply chain data, geolocation, traceability, and due diligence workflows, it helps companies manage responsibility across the chain, assess risk more clearly, and maintain the documentation needed to support compliance.

How Agriplot Supports Each Role Across the Supply Chain

Agriplot’s relevance does not depend on one interpretation of EUDR. It remains relevant because the underlying needs do not change: companies still need to map sources, maintain traceability, assess risk, manage evidence, and keep compliance information moving across the chain.

The 3rd Edition makes responsibility under EUDR easier to understand. The next challenge is making that responsibility manageable across real supply chains.

That is where systems matter.

As companies move from interpretation to execution, the value of a platform like Agriplot lies in helping them connect data, obligations, traceability, and documentation in one place, so compliance is not only understoodbut also sustained.

Explore more on how Agriplot supports EUDR readiness:

👉 www.agriplot.earth 

Access the official European Commission publication of the EUDR 3rd Edition:

👉 EUDR Supply Chain Infographics 3rd Edition

Geometrack transforms complex geospatial data into a powerful monitoring system that connects environmental risks directly to companies, estates, and mills. Through a single, intuitive dashboard, users can uncover non-compliance cases, track supply chain exposure, and understand risk with clarity and confidence.

With advanced filtering and dynamic mapping, issues can be quickly identified by company, location, timeframe, or risk category—cutting through data noise to focus on what matters most. Each case is enriched with detailed context, from historical land-use change and risk classification to supplier linkages and corporate group structures.

Beyond detection, Geometrack reveals how risks move across supply chains. By linking cases to mills through both corporate profiling and traceability-to-plantation approaches, it enables companies to understand exposure at a deeper level and make faster, more informed decisions.

From scattered data to clear decisions.

The platform also integrates social grievance data and corporate insights, providing a more complete picture of environmental and social risks. Users can upload datasets, connect external geospatial layers (WMS/WFS), define areas of interest, and run analysis directly within the platform.

From verified evidence to export-ready outputs, Geometrack supports teams in moving from insight to action—strengthening compliance, transparency, and responsible sourcing at scale.

 Watch Geometrack in Action

Discover how Geometrack identifies risk, connects supply chains, and transforms geospatial data into actionable intelligence.

👉 https://youtu.be/x2CPkX8hrcg

The escalation of conflict between Iran and the United States has the potential to shake global economic stability, primarily through disruptions to the world’s energy supply. Tensions in the Gulf region and along key shipping corridors such as the Strait of Hormuz and the Red Sea increase the risk of spikes in crude oil prices, higher logistics costs, and rising shipping insurance premiums. The closure of the Strait of Hormuz effectively reroutes or halts completely approximately 20 million barrels of crude oil daily. These dynamics directly and indirectly affect the global palm oil market.

When crude oil prices rise, vegetable oil prices including palm oil tend to move upward as well. 

Figure 1: Historic relationship between oil and commodity prices (Source: Indexmundi and World Bank)

This is driven by substitution effects and growing interest in biofuels as an alternative energy source. To put it simply, when fossil fuel prices rise, biofuels become more attractive, which increases demand for vegetable oils. In the short term, major producing countries such as Indonesia and Malaysia may benefit from higher prices and stronger demand. However, price spikes also create uncertainty. Buyers and sellers may hesitate to commit to contracts. Trade routes can shift. Shipping delays become more likely. In other words, volatility brings risk.

On the social side, surging global energy prices often fuel domestic inflation, increasing living costs for workers and communities around plantations. At the same time, high commodity prices can encourage rapid land expansion as companies chase short-term profits. Without strong oversight, this can increase the risk of deforestation, land conflicts, and labour-rights issues — especially in supply chains involving smallholders.

From a sustainability perspective, the situation is complicated. On one hand, high prices can tempt companies to prioritise production over environmental commitments.. On the other hand, global regulatory pressure continues and is becoming stricter. The European Union, for instance, has introduced the European Union Deforestation Regulation (EUDR), requiring products to be deforestation-free and supported by geolocation evidence. In addition, the Corporate Sustainability Due Diligence Directive (CSDDD) requires companies to conduct due diligence on environmental and human-rights risks across their supply chains. NDPE commitments (No Deforestation, No Peat, No Exploitation) also remain a key benchmark for many multinational buyers.

This situation could create a “two-speed” market. Jurisdictions with stricter regulations will continue to demand transparency, traceability, and data-based verification. Meanwhile, more pragmatic markets may prioritize price and supply availability. This fragmentation increases the risk of “leakage,” where higher-risk products are diverted to markets with weaker oversight.

All of this highlights one key lesson: sustainability and supply-chain resilience now go hand in hand. 

Deforestation monitoring cannot stand alone, it must be linked to logistics risk analysis, supplier stability, and cross-country regulatory compliance. Supplier transformation and strengthening smallholders are critical to maintaining long-term market access. Digital traceability systems and geospatial monitoring are no longer just reporting tools. They help companies see where their products come from, identify disruptions quickly, and respond faster. 

Accurate data is the cornerstone of a sustainable supply chain which has been proven time and again to be more resilient to disruptions. Sustainable chains often require better mapping of suppliers, allowing for faster identification of, and response to, bottlenecks or disruptions. The focus on sustainability often overlaps with strategies that increase agility and the ability to adapt quickly to changes, making them more capable of handling unexpected shocks. In practice, sustainable supply chains often turn out to be more resilient because they are better mapped, better monitored, and more transparent.

Geopolitical tensions may eventually ease. But the global push for stronger sustainability standards is likely to continue. In an uncertain world, palm oil producers and traders that build transparent, responsible, and adaptable supply chains will be better positioned to withstand shocks — and stay competitive in the long run.

Source: 

1. Reuters – Iran conflict disrupts global shipping as tankers are stranded, damaged – 2 Mar 2026.
   https://www.reuters.com/business/energy/iran-conflict-disrupts-global-shipping-tankers-are-stranded-damaged-2026-03-02/
2. Reuters – Mideast-Asia oil tanker rates at highest since 2020 as Iran tensions simmer – 26 Feb 2026.
   https://www.reuters.com/business/energy/mideast-asia-oil-tanker-rates-highest-since-2020-iran-tensions-simmer-2026-02-26/
3. Reuters – Oil rises as expanding US-Israeli conflict with Iran elevates supply risks – 3 Mar 2026.
   https://www.reuters.com/business/energy/oil-rises-expanding-us-israeli-conflict-with-iran-elevates-supply-risks-2026-03-03/
4. European Commission – Corporate Sustainability Due Diligence (CSDDD) – overview page (Directive 2024/1760) – accessed Mar 2026.
   https://commission.europa.eu/business-economy-euro/doing-business-eu/sustainability-due-diligence-responsible-business/corporate-sustainability-due-diligence_en
5. European Commission (DG Environment) – Regulation on Deforestation-free products (EUDR) – official information page – accessed Mar 2026.
   https://environment.ec.europa.eu/topics/forests/deforestation/regulation-deforestation-free-products_en
6. European Commission – Green Forum – Deforestation Regulation implementation timeline (application dates) – accessed Mar 2026.
   https://green-forum.ec.europa.eu/nature-and-biodiversity/deforestation-regulation-implementation_en
7. Sustainable Palm Oil Choice (industry explainer) – What is NDPE (No Deforestation, No Peat, No Exploitation)? – accessed Mar 2026.
   https://www.sustainablepalmoilchoice.eu/ndpe-commitment/
8. The Guardian – Maritime insurers cancel war risk cover in Gulf as Iran conflict disrupts shipping – 2 Mar 2026.
   https://www.theguardian.com/business/2026/mar/02/maritime-insurers-war-risk-cover-gulf-iran-shipping-strait-of-hormuz
9. Tun-Hsiang Y., Bessler, D and Fuller, S.W. 2006. Cointegration and Causality Analysis of World Vegetable Oil and Crude Oil Prices. https://www.researchgate.net/publication/23506721_Cointegration_and_Causality_Analysis_of_World_Vegetable_Oil_and_Crude_Oil_Prices