Leveraging Analytics and AI to Drive More Sustainable Outcomes
Manuel Ferreira de Almeida, Ph.D.
April 7, 2026
Integrating Data for a More Holistic View
The biggest hurdle we see is not a lack of data, but rather the challenge of transforming fragmented, siloed information into a cohesive, actionable view of product and supply chain sustainability performance. Many organizations have product specifications, supplier certifications, emissions data, and more that are living in disconnected systems. This makes it extremely difficult to get a holistic understanding of environmental and social risks and opportunities.
Overcoming data integration challenges is a prerequisite for leveraging advanced analytics and AI. By bringing together product design, supplier selection, and operational data in a unified digital infrastructure, organizations can start assessing the environmental and social tradeoffs of their choices as they are being made. This shifts sustainability and EHS from a reactive, compliance-oriented function to one that is a strategic business partner actively guiding the decisions that determine a product's sustainability footprint.
Rethinking Decision-Making Structures
A lot of organizations are on the right track in recognizing that advanced analytics and AI will be essential for scaling sustainability efforts. Where things sometimes go off the rails is in trying to treat these technologies as just another layer on top of existing processes, rather than rethinking how the underlying data and decision-making structures need to change.
While there's a tendency to expect definitive answers from AI, the technology should be used to augment and support expert judgment, not replace it entirely. The most effective approaches we’ve seen combine strong data foundations with targeted application of AI to specific, high-impact use cases. It's about finding that right balance between data-driven insights and human expertise.
How to Get Started
Begin by focusing on the areas where better data and faster sustainability insights would have the biggest impact on your actual decision-making. For many of our clients, this begins at the product and supply chain level, where the complexity is highest and the visibility is lowest.
From there, work on connecting and structuring your existing data so it can be effectively leveraged for analysis. Then start applying advanced analytics and AI capabilities to specific use cases and validate the results.
Progress tends to come from practical steps that build confidence, not from trying to solve everything at once. It's an evolution, not a revolution, but taking these incremental actions to strengthen your sustainability data foundations will unlock the true power of these technologies to drive more sustainable business outcomes.
Join Manuel and other AI thought leaders at OPEX/TECH26, April 14-16, in St. Petersburg, Florida. Manuel is participating in the keynote panel “Unlocking AI-Driven Digital Transformation in EHS & Sustainability.”
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About the Author
Manuel Ferreira de Almeida, Ph.D.
Makersite
Manuel Ferreira de Almeida, Ph.D., serves as Head of North America at Makersite, driving the company’s go-to-market strategy and operations across the region. Based in Chicago, Manuel leads initiatives to expand market presence and accelerate growth by empowering manufacturers to make smarter, more sustainable product and supply chain decisions through advanced automation. Manuel holds a Ph.D. in genomics and has 20 years of experience in the enterprise sustainability software space.