Every year on April 22nd, people around the world come together to celebrate Earth Day and raise awareness about environmental issues. This day serves as a reminder of the urgent year-round need for stewardship and collective action, highlighting the critical role businesses play in shaping a more sustainable future. For many organizations, that responsibility is increasingly tied to how they design, manage, and optimize their supply chains.
Global supply chains today face mounting pressure from climate risk, regulatory requirements, and ongoing uncertainty, pushing sustainability from a secondary concern to a core business priority. Yet for many businesses, the “first mile” of the supply chain remains complex and hardly visible, making it difficult to assess risk, validate sustainability claims, or respond proactively to disruption.
At the same time, advances in AI (artificial intelligence) and data modeling are reshaping what is possible, accelerating intelligent planning so that risk can be anticipated, and enabling sustainability and performance to go hand in hand.
Together, John Galt Solutions and Treefera deliver AI-powered visibility and predictive data insights to help transform how enterprises anticipate risk, strengthen resilience and make confident planning decisions. By combining advanced planning capabilities with first-mile intelligence, this partnership helps organizations make more informed, confident decisions in an increasingly complex environment.
In this edition of our #ExpertInsights series, we sit down with Jonathan Horn from Treefera to explore the evolving role of sustainability in supply chains, the challenges of achieving true visibility, and how AI-driven innovation is helping businesses build resilience for the future.
Q1. Sustainability is increasingly becoming central to supply chain strategy. From your perspective, what is driving this shift, and why is “first-mile” visibility so critical to achieving truly sustainable supply chains?
J. Horn: The shift is being driven by something more fundamental than regulation or reputational pressure, though both play a role. Businesses are confronting the reality that the systems they depend on (forests, agricultural land, waterways, working landscapes) are materially less stable than they were a decade ago. That instability has a direct economic cost. Supply disruptions, failed harvests, stranded assets, trade restrictions tied to land-use compliance: these are balance sheet events, not entries in a sustainability report.
The first mile is where that instability originates. It is the point of extraction, cultivation or harvest, the furthest upstream reach of a supply chain, and it is precisely where data has historically been thinnest. Most organizations have reasonable visibility into their tier-one suppliers, but beyond that, the picture degrades quickly. You cannot manage what you cannot see, and you certainly cannot price risk you cannot measure.
Treefera is an AI-native company. We were built from the ground up to apply machine learning and cutting-edge earth observation science to this problem. We are not an add-on to a legacy data product, this is the core of what we do. That means satellite-derived intelligence on biomass, land cover change, carbon stocks and supply origin, produced at a scale and resolution that was not practically achievable until recently. That data does not just serve a sustainability function; it informs procurement decisions, financial exposure assessments and operational planning. When the underlying resource base changes, the businesses that knew first are the ones that responded well.
By combining Treefera’s adaptive AI and financial-grade modeling with John Galt Solutions’ powerful Atlas Planning Platform, supply chain teams gain actionable first-mile intelligence to strengthen sourcing decisions and proactively mitigate risk across global networks
Q2. What are the biggest challenges companies face in gaining accurate, actionable first-mile insights, and how does this impact both risk and sustainability goals?
J. Horn: The core challenge is that the first mile is geographically dispersed, often poorly documented and has historically resisted standardization. A commodity like timber or soy may pass through multiple intermediaries before it reaches a named supplier. Each step attenuates the data. By the time it reaches a procurement team, provenance is asserted rather than verified.
This creates two compounding problems. The first is risk blindness: organizations cannot model exposure to physical climate events, regulatory change or supply concentration when they do not know where their material actually comes from. The second is a credibility gap. Sustainability claims that rest on self-reported data from the supply base are difficult to defend under scrutiny and regulators in the EU and elsewhere are making that scrutiny structural and mandatory
Our AI models are trained on decades of multi-source geospatial data, applying the kind of analytical rigor more commonly associated with academic earth science to commercial decision-making problems. We generate independent, verifiable intelligence at scale, which means we are not reliant on what a supplier chooses to disclose. We are measuring the land directly. The output is data that can be acted on: risk flags, compliance signals and trend analysis that feeds into planning rather than sitting in a report.
Q3. AI is playing a growing role in transforming supply chain planning and decision-making. How does Treefera’s use of AI combined with supply chain planning platforms like Atlas Planning change the way businesses anticipate risks and respond to disruptions?
J. Horn: AI is most valuable in supply chain contexts when it shortens the distance between a signal and a decision. Treefera’s earth observation data tells you what is happening at the origin. Atlas Planning tells you how to respond across your network. The combination means that a change we detect upstream, such as an early indicator of drought stress in a growing region or accelerating deforestation near a sourcing area, can be translated directly into a planning input rather than a standalone alert that sits outside the operational workflow.
That integration matters because the value of intelligence degrades with latency. A risk identified six months before it materializes is a planning opportunity. The same risk identified after the fact is a crisis.
Because Treefera is AI-native, we are not retrofitting machine learning onto an existing product. Our entire pipeline, from raw satellite data ingestion through to structured commercial outputs, is built around AI. That means the signals we surface are faster, more granular and more reliably calibrated than what traditional remote sensing or manual audit processes can produce. When those signals feed into the Atlas Planning Platform's supply chain planning and scenario tools, organizations gain something genuinely new: the ability to see upstream conditions and downstream planning implications in the same operational environment.
Q4. How does the combination of Treefera’s intelligence and John Galt Solutions’ Atlas Planning Platform benefits companies, particularly in terms of balancing resilience, sustainability, and cost efficiency?
J. Horn: For most organizations, these have been treated as separate workstreams with sustainability reporting on one side, supply chain optimization on the other. That separation is increasingly untenable and inefficient. The same data that supports a deforestation-free procurement claim is the data that should be informing a risk-adjusted sourcing strategy.
What the partnership enables is a single coherent view. A procurement or planning team using Atlas can now see first-mile conditions (e.g. land use integrity, supply origin, resource trends) as part of the same environment in which they are making inventory, sourcing and logistics decisions. The result is not a trade-off between resilience and sustainability; it is a recognition that they are measuring the same underlying reality from different angles.
From a cost efficiency standpoint, better upstream data reduces the need for reactive buffer stock, supports more confident supplier qualification and provides an evidential basis for compliance that does not require expensive manual auditing at scale. The data pays for itself when it prevents a single significant disruption or accelerates a regulatory approval.
Q5. Looking ahead, what major trends do you see shaping the future of sustainable and resilient supply chains, and how should organizations prepare to stay competitive in this evolving landscape?
J. Horn: Three trends stand out:
The first is the hardening of regulatory requirements around supply chain due diligence. The EU Deforestation Regulation is the leading edge of a broader movement toward verified provenance as a condition of market access. Organizations that have invested in traceable, data-backed supply chains will have a structural advantage; those that have not will face compliance costs and potential market exclusion.
The second is the increasing materiality of physical weather and climate risk to upstream supply. Extreme weather events (floods, drought, unseasonal frost, wildfire) are already affecting yields, logistics and asset values across agriculture, forestry and extractives. Climate shifts the baseline; weather delivers the shock. Organizations need data that accounts for both the long-run trend and the near-term event. Those that manage this well are those that have treated their supply origin as something worth understanding in detail rather than as an abstraction.
The third is the convergence of sustainability and financial data. Capital markets, insurers and trading counterparties are beginning to price the quality of upstream data into their decisions. First-mile intelligence is becoming a factor in credit assessment, commodity pricing and investment due diligence. That is a significant shift and it means the value of what Treefera produces extends well beyond the supply chain function into the broader question of how well-informed capital is allocated.
The organizations best positioned for this environment are those investing now in the data infrastructure to see their supply base clearly. The volatility is not going away. The question is whether you have the data to meet it.
About the Author
Jonathan Horn is Founder and CEO of Treefera, an AI-native first-mile intelligence platform that converts first-mile conditions into financial-grade insight for trading, financial services and supply chain organizations. Before founding Treefera, Jonathan was Managing Director and Head of Risk at J.P. Morgan, where he architected the firm's global risk and reconciliation platform, and held leadership roles at Citi in structured products. Raised on a farm in England and trained as a theoretical physicist, he holds a PhD in Physics from the University of Newcastle.
