The world is getting noisier. Climate volatility, environmental degradation and political instability are increasing both the number and the severity of disturbances that ripple through supply chains. With each disturbance, new complexities arise from new variables, like soil health and rainfall shifts, regulatory changes and geopolitical friction. These variables compound into an opaque risk ecosystem.
The unfortunate reality is that traditional data collection methods, aimed at managing supply chains and reducing risks across the all-important first mile, now can’t keep up in this challenging environment. Manual data collection or static surveys can’t process this rising tide of complexity fast enough to inform decisions, meaning businesses don’t have access to critical information. The result? Without this primary data, businesses are “flying blind,” which means they don’t have control over their supply chain operational performance, thus impacting revenue.
Technology plays a crucial role in quietening the noise, restoring clarity and providing leaders with the insights needed to improve supply chain resilience. We’re already seeing that satellite imagery, drone information and ground truth data can all be elevated using AI agents, allowing businesses to make better decisions.
The first-mile challenge
Today, 60% of business costs and risks occur within the first mile of logistical supply chains, meaning poor management of risk in these sourcing regions can directly impact business success. At the same time, regulatory pressure and requirements are growing, with the impending EUDR and EU omnibus legislation. Businesses need to have access to the right processes and technology solutions to ensure compliance.
For the EUDR, this means that any business that operates within, or sells to, Europe will need to ensure no deforestation occurs within their supply chain. They will also need to backdate evidence from as far back 2020. While timelines for this regulation remain uncertain, acting now to prepare for compliance should be a business priority today.
Given the scale of first-mile risk, visibility is essential to build resilience. This can only be done by leaning into the right mix of technologies, including the smart use of AI to generate insights that allow for greater, better-informed decision-making. AI allows us to abstract complexity – leveraging the massive acceleration in the capabilities of satellites over the past 10 years and turning disparate and disconnected data into actionable insights at global scale and near-instant speed.
AI-nativity needs to be the first step
While the entire supply chain can be opaque, the first mile has historically been hardest to manage, with information about sourcing regions and commodity origins often fragmented, remote and expensive. Businesses need access to insightful data that uncovers what’s really happening on the ground.
Data governs the flow of capital, and the quality of this data can equip enterprises with the ability to scope out and invest in appropriate sourcing options. Satellites, drones and ground truth data help with this, but only to a point – they provide surface level information without the depth of insight necessary for action.
AI-enabled data systems make it possible to track first-mile activity in real time. These tools translate raw, real-world data into scalable insights that decision makers can act on. They can also be tailored to specific business needs – from monitoring particular geographies to aligning with the compliance frameworks that matter most.
How does this work in practice? Take a large brand sourcing cocoa in Madagascar, for example, which needs to assess the risks posed by deforestation in order to meet EUDR standards. By utilising AI and satellite technology, they can map their entire supply chain to assess deforestation, tenure and labour risks, while producing automated DDS (Due Diligence Statement) reports ready to be submitted to the EU.
Agentic AI is the enabler here, synthesising complex and vast real-world datasets into expert-grade insights that are accessible at speed and scale. AI agents build on traditional AI models through autonomy and comprehensive self-learning mechanisms. Ultimately, this technology supports businesses in understanding the risk landscape within the first mile. And when incorporated into models that include regulatory and compliance frameworks, businesses can manage accountability and maintain their governance commitments.
Building deep insights from historic blind spots
The factors that affect global supply chains show no sign of slowing down – it’s time for businesses to take a different approach to risk identification and management, especially within the first mile. By ensuring access to accurate, scalable data and utilising real-time monitoring, businesses are laying the foundation for unwavering supply chain resilience.
For the C-Suite, the stakes are clear: revenue security and enterprise value now hinge on visibility at the first mile. In a world of climate shocks, political instability and regulatory pressure, legible supply chain data is no longer a technical nice-to-have; it is the foundation for protecting continuity, defending margins and sustaining growth over the long term.
- Digital Supply Chain