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
Want a simpler way to buy carbon credits? Discover our carbon marketplace
Most businesses that decide to act on their net-zero targets reach the same point of friction. Buying carbon credits has meant tracking down brokers, sitting through sales calls, and requesting a quote just to learn a price, sometimes with limited proof of what you are buying.
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Carbon Footprint
Climate-Linked Supply Chain Risk Is Already in Your P&L
The earnings calls that quietly reframed climate from sustainability question to operating risk.
Three earnings calls in the last 18 months tell the story without any help from a press release.
Hershey, May 2024: cocoa price exposure compresses margin, and the company attributes part of the cost shock to West African weather. Olam, July 2024: coffee climate exposure quantified in the annual report. JBS, January 2025: supply chain climate disclosures expanded materially in response to investor pressure and regulatory expectation. None of these companies issued the announcement as climate news. They issued it as financial news. The climate-linked supply chain risk did not arrive with a sustainability framing; it arrived as a P&L line.
You are probably reading this article because you suspect the same thing is happening to your business. This piece walks through what is showing up on which earnings calls, how procurement and finance leaders are quantifying the exposure, and what serious corporates are doing about it before the regulator asks.
Where climate risk has already appeared in earnings
The pattern is consistent across resource-intensive sectors. A weather event compresses supply, the price spikes, the cost flows through the income statement, and the analyst on the call asks whether the event is anomalous or structural. Increasingly, the honest answer is the second one.
Cocoa is the cleanest example. The 2023 to 2024 West African harvest fell sharply on the back of erratic rainfall and disease. Cocoa futures more than tripled. Companies with concentrated West African sourcing absorbed the cost; companies with diversified sourcing absorbed less. The exposure was not climate as ESG topic. It was climate as cost of goods.
Coffee follows the same pattern. Brazilian and Vietnamese harvests have moved on weather more sharply across the last several seasons. Roasters with long-tenor supplier relationships and origin diversification have managed the volatility; roasters with spot-market exposure have not. Wheat, sugar, palm oil, beef: the same dynamic in different commodities, a pattern the IPCC AR6 Working Group II report projects will intensify across agricultural systems through mid-century.
What this means: climate risk is no longer a footnote in the 10-K. It is a line item the CFO has to explain on the call.
The three commodity exposures that hit margin first
For most companies with material Scope 3 exposure, three exposures dominate the near-term P&L risk.
- Concentrated single-origin sourcing in a climate-vulnerable region. If your tier-one supply for any material commodity sits in one geography, you have a concentration risk that climate amplifies. Diversification across origins is the obvious hedge, but it takes years to build and requires relationships you cannot acquire by tender.
- Supplier financial fragility under climate stress. Smallholder farmers, who supply a large share of the global cocoa, coffee, and palm oil market, do not carry the balance sheets to absorb yield shocks. When yields collapse, they exit. When they exit, your supply base shrinks, and the surviving suppliers raise prices. The risk is structural, not cyclical.
- Logistics and storage exposure to extreme weather. Hurricane disruptions to Gulf shipping, drought-driven Panama Canal restrictions, flooding in European inland waterways: each of these has moved input costs in the last three years, a pattern documented in Munich Re’s natural catastrophe data. The exposure shows up as a one-quarter event in the financial press but accumulates over time on the cost line.
TCFD and ISSB disclosure changes
The disclosure architecture has now caught up with the risk. The Task Force on Climate-related Financial Disclosures, whose recommendations are now embedded in the ISSB’s IFRS S2 climate standard, requires companies to disclose climate-related risks across physical and transition categories, with quantification where possible.
For physical risk specifically (the climate-linked supply chain risk you are reading about), the disclosure must address both acute exposures (extreme weather events) and chronic exposures (gradual changes in temperature, precipitation, and growing seasons). The disclosure must address the time horizon over which the risk is material, the parts of the value chain exposed, and the financial impact under different scenarios.
The CSRD imposes similar requirements under European law, with double materiality (both financial and impact materiality) embedded in the assessment. The practical effect: your auditors and your investor relations team now need a defensible answer to the climate-linked supply chain risk question, and the answer needs to be quantified.
What procurement and finance can do now
Three actions matter near-term.
Map your exposure. Most companies do not have a clear view of which tier-one and tier-two suppliers sit in which climate-vulnerable geographies. Without the map, you cannot quantify the risk, and without the quantification, you cannot disclose it credibly. The map is the foundation, and World Resources Institute climate risk research provides useful public tooling to start.
Diversify and deepen, in that order. Diversification across origins reduces concentration risk, but the deeper move is to invest in the resilience of the suppliers you already have. Regenerative practices, agroforestry, soil health interventions: these reduce yield volatility under climate stress and protect your input cost trajectory.
Embed the climate spend inside procurement, not outside it. Treating climate risk as a sustainability cost line subordinates it to the ESG budget. Treating it as a procurement and resilience investment puts it in the budget that matters, which is the cost-of-goods budget that the CFO defends quarterly.
Nature-based supply chain investments are the asset class designed for exactly this purpose. They sit inside the value chain, they reduce climate-linked supply risk, they generate verifiable Scope 3 reductions, and they produce the documentation an auditor and a regulator can both test.
If you are quantifying climate-linked supply chain risk in advance of the next earnings cycle or the next disclosure period, the carbon and sustainability experts at Carbon Credit Capital can help you map your exposure and structure a Dual-Value Model response that addresses reduction, resilience, and disclosure-readiness in a single program. Schedule a consultation.
Carbon Footprint
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