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We use the internet for everything from entertainment, communication, research, and it has completely transformed the way we work. Most people don’t realize that emissions from internet and cloud usage are quickly exceeding the amount of carbon from other industries. In 2023, cloud computing accounts for around 3% of all global emissions, which is more than the airline industry, shipping, and food processing.

Understanding the full extent of your environmental impact is critical to obtain corporate sustainability. This includes not only the emissions your company controls directly but more importantly, emissions one step—or several steps—removed within your supply chain. Most of the emissions are indirect and often outweigh the carbon footprint a company has. However, unlocking this data is a task easier said than done. This almost represents an impossible challenge, considering the quality of present supply chains and the high variability of both quality and availability of the data. But what if technology could turn the tide in our favor?

Enter AI, a tool that’s revolutionizing the way we approach Scope 3 emissions data collection.

The Complexity of Scope 3 Data Collection

At first glance, tasks like collecting information on Scope 3 emissions seem fairly simple: just get the info from your suppliers. If only it were that easy. In fact, procurement and sustainability managers face a labyrinth of problems:

Diverse Supply Chains: Many companies are now operating within an international marketplace as they source materials and services from a complex web of suppliers. If at all reported, each likely possesses a set of emissions reporting standards and practices unique to that link of the chain.

Data quality and consistency: Data quality varies with regard to its granularity, format, and definitions. It is extremely difficult to try and aggregate the existing data for analysis.

Lack of Transparency: It will be likely that suppliers do not want to share such data or do not have proper tracking mechanisms in place to share data on emissions.

Lack of Response: Suppliers may not even respond to surveys and view them as additional time-consuming bureaucracy.

AI as the Solution

Artificial intelligence (AI) has great potential to solve these challenges of Scope 3 data collection by breaking these barriers and removing data reporting discrepancies.

Automated Data Aggregation: From pooling in data from across sources, AI algorithms can aggregate information. It uses the parsing of supplier reports, industry databases, and can even make use of satellite information to approximate cases where emissions are not available directly.

Improved Data Analysis: After the collection of data, the use of AI might be applicable in the analysis of consistency, completion, and finally, accuracy of the data. The machine learning model will continue to improve and learn from the patterns in the data, hence identifying any anomaly or gap.

Predictive Insights: AI could offer the predictive insights that forecast the future trend of emissions on many factors. This will enable companies to take an informed decision on the kind of suppliers they would like to engage with or take up sustainability initiatives they would like to drive.

Real-World Applications: Now, only companies that are forward in their thinking will be able to improve the collection of data for Scope 3 emissions. Leading automotive manufacturers have rolled out AI-enabled tools to map the emissions of their supplier network and identify key areas of emissions reduction. This helps in targeting sustainability initiatives at suppliers.

In conclusion, the road toward sustainability is full of many challenges, but perhaps the most vexatious is Scope 3 emissions data collection. That has only recently changed, however, with the development of AI technology that offers a solution. Companies will thread through their supply chain complexities to bring about a granularity in their emission reporting, which was unthinkable earlier. This will not only meet the regulatory requirements to a higher level but will make a groundbreaking step into a more sustainable and ecologically responsible business.

FAQs

Q: Is AI technology accessible to all companies, regardless of size?

A: While the technology of AI could be very expensive at its adoption, the beginning of cloud-based AI solutions is offering it increasingly to small, medium, and big corporations. This, in essence, justifies the costs at the start because long-term benefits, basically increased efficiency and sustainability impacts, more often than not. Q: Can AI completely replace manual data collection efforts?

A: While it may hugely reduce the work of collecting data by hand, AI does still remain in need of the direction of human control to interpret its findings and derive strategies for deciding ways forward by the insights derived. So, embracing AI in pursuit of sustainability would mean that companies make a leap from how they relate their duty toward the environment. Advancements in technology increasingly present the potential for AI to transform our Scope 3 emissions data collection relation and change the way we experience the world.

DitchCarbon uses AI to collect thousands of primary company emission disclosures and calculates company-specific Scope 3 emissions.

Get in touch with us to see how we can do the same for your company!

Carbon Footprint

The Strategic Case for Nature-Based Carbon Investments

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Nature-based carbon investments deserve consideration when they address a specific business dependency and produce outcomes you can measure. Imagine Moonbucks, a global coffee roaster planning next season’s espresso blend. It is considering natural Grade 4 coffee from Jimma, in southwestern Oromia, Ethiopia. Its sourcing decisions affect the roasting schedule and the cash tied up in coffee purchases. Moonbucks needs to understand which measures could protect that supply, what they would cost and how it would judge the results.

1. Define the sourcing problem before choosing a project

Moonbucks needs a dependable component for its espresso blend. Its procurement team wants continuity of volume and an agreed cup profile. Replacing a shipment at short notice could require new sample approval and changes to the blend, and given the schedules for cultivation, processing, and freight delivery, is practically impossible. Moonbucks needs to get this right, and its initial concern is inconsistent deliveries. It commissions an assessment of the supplying farms and post-harvest chain. The questions cover land condition, harvest availability and whether drying or storage problems are affecting saleable lots.

This distinction changes the investment brief. A tree-planting proposal cannot be assumed to fix drying problems. Better storage cannot restore eroded land. The team must establish which problem exists before selecting the response.

CCC’s guide to finding nature-based solutions in your supply chain explains where to look. Here, the next task is to turn a broad concern into a testable proposal.

2. Develop nature-based carbon investments around the actual supply chain

The assessment would trace Moonbucks’ purchases back through the exporter and supplying producer groups. Which farms supply the contracted lots? Who controls land-management decisions? How long does the buyer expect to maintain the purchasing relationship?

Furthermore, Jimma natural Grade 4 cannot be treated as interchangeable with every Ethiopian coffee. Moonbucks would need to test any substitute against its own blend and quality requirements.

Suppose Moonbucks’ assessment identifies an opportunity to maintain shade trees and restore vegetation along exposed streambanks. The IPCC describes agroforestry as a way to store carbon in vegetation and soil, with potential benefits for erosion control and water quality.1 Moonbucks would need local advice on species, growing conditions and maintenance before deciding how these measures fit its sourcing plan.

The proposal now has a defined sourcing connection and a candidate intervention. The next steps are to test its effect on production, assess carbon eligibility and build the financial case.

3. Compare the proposal with other ways to protect supply

WBCSD’s Nature-based Solutions Blueprint recommends comparing nature-based options with other responses across their benefits and costs.2 For Moonbucks, that means evaluating the landscape proposal alongside drying improvements, storage controls and alternative sourcing arrangements.

The product’s natural-process designation matters. Moonbucks should examine the drying and dry-milling chain alongside land conditions. Its team would check storage practices, contamination risks and incoming-lot quality to see whether problems arise before or after the coffee leaves the farms.

The revised proposal might combine land stewardship with separate post-harvest controls. Each component needs its own purpose and budget. A sustainability label should not obscure which activity is expected to solve which problem.

The project develops as the evidence improves. Its scope should follow the diagnosis rather than preserve the first idea unchanged.

4. Establish what the carbon outcome could count toward

Moonbucks’ sustainability team now tests the proposed carbon case separately from the sourcing case. Is the objective a measurable change in Moonbucks’ value-chain emissions, verified credits for separate voluntary use, or distinct outcomes under carefully defined arrangements?

Scope 3 covers value-chain emissions. A purchasing relationship alone does not prove that a farm intervention can be included in Moonbucks’ inventory. The team needs an applicable accounting method, defensible boundaries and evidence supporting attribution.

SBTi’s FLAG Guidance (forest, land and agriculture), version 1.2, says purchased credits used as offsets cannot meet near-term FLAG or energy and industry targets. Eligible land-based removals are subject to accounting requirements.3 Moonbucks needs to test its proposal against those rules before including an outcome in its targets.

For Moonbucks’ Jimma proposal, maintaining existing trees and establishing new vegetation could involve different carbon questions. Specialists must examine the baseline and additionality, meaning what changes because the project proceeds. They must also assess measurement and the risk that stored carbon is lost. CCC’s MRV and additionality article introduces those tests.

Until that work is complete, Moonbucks should not budget an assumed Scope 3 reduction or credit-sale receipt. Direct emissions reductions remain the priority.

5. Build a financial case that survives weaker assumptions

Moonbucks’ finance team would now build a multi-year budget. UNEP’s State of Finance for Nature 2023 compares current finance with the investment needed to meet climate, biodiversity and land-restoration goals.4 The company would cost its proposed activities, farmer participation and ongoing monitoring. Verification, where required, is a separate expense. Maintenance and responsibility for replacing failed plantings must remain visible after the initial establishment budget ends.

Operational benefits need equally careful treatment. If fewer rejected lots reduce emergency purchasing, count that saving once. Do not add “supply resilience” as another financial benefit when it represents the same avoided cost.

Moonbucks should compare a base case with slower benefits, higher implementation costs and no carbon revenue. It should also distinguish production outcomes from quality and shipment outcomes. A single good harvest would not prove that the landscape intervention caused better delivery performance.

A project can remain worth funding even when its carbon case needs more work. That decision must rest on the operational evidence and the company’s objectives, without unsupported environmental claims.

6. Fund a pilot with a clear expansion decision

Moonbucks’ first approval would fund a bounded pilot, rather than commit the entire sourcing program. Before spending, Moonbucks would agree on participating farms, responsibilities and the evidence needed at review.

Its scorecard could track farmer participation, implementation costs and plant survival, alongside accepted coffee volumes and lot-quality results. Carbon measurements would follow the selected method. Farm-level traceability must connect the intervention to the actual sourcing relationship.

Suppose Moonbucks’ review later finds that storage changes explain most quality improvements, while the land measures need longer observation. Those findings would shape the next decision: expand the proven component, adjust the landscape work or pause further spending. They would not justify crediting all improvements to tree planting.

This gives nature-based carbon investments a practical place in a multi-year strategy. Funding increases as the evidence supports it, and the project can change direction before a larger commitment.

Discuss a sourcing opportunity with CCC

Carbon Credit Capital’s nature-based supply-chain investment service uses its Dual-Value Model to examine supply-chain economics alongside potential sustainability outcomes.

Schedule a consultation to discuss your sourcing exposure and the questions to resolve before allocating capital.

Sources

  1. Intergovernmental Panel on Climate Change (IPCC), Climate Change 2022: Mitigation of Climate Change, Chapter 7, Agriculture, Forestry and Other Land Uses, section 7.4.3.3 (Agroforestry).
  2. World Business Council for Sustainable Development (WBCSD), Nature-based Solutions Blueprint, 5 June 2024.
  3. Science Based Targets initiative (SBTi), Forest, Land and Agriculture Science-Based Target-Setting Guidance, version 1.2, March 2026, section 3.1.4, pp. 37–38.
  4. United Nations Environment Programme (UNEP), State of Finance for Nature 2023, 2023.
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Carbon Footprint

How to buy plastic credits, and what to check before you do

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A plastic credit funds the collection of plastic waste in places where no formal system exists to collect it. Each credit represents a measured, independently audited quantity of plastic taken out of the environment or returned to use, tracked on a public registry.

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Carbon Footprint

EU carbon credit claims after 27 September 2026

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EU carbon credit claims changed on 27 September 2026, the day the Directive (EU) 2024/825 began to apply across the European Union. The change is narrow. It changes how a company can talk about the credits it buys. A product can no longer be called neutral on the strength of compensation alone; however, every specific, evidenced statement about what a company measured, reduced, and funded stays fully available.

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