Decarbonisation Technology August 2026 Issue

Value of digital product carbon footprinting in decision-making How organisations can build digital PCF systems that deliver measurable financial and operational value in increasingly carbon-constrained markets

Blair Fraser Wood

P roduct carbon footprinting (PCF) has evolved rapidly over the past decade, shifting from a specialist sustainability exercise to a core requirement driven by regulation, customers, and capital markets. Despite significant development and investment in methodologies and reporting frameworks, many organisations still struggle to generate PCFs in a way that is sufficiently fast, consistent and scalable to support decision-making. This article explores why that gap persists, what ‘good’ looks like in practice, and how organisations can build digital PCF systems that deliver measurable financial and operational value. Drawing on implementation experience, it demonstrates how PCF can shift from a compliance activity to a decision-making infrastructure. Shift in expectations Over the last few years, the role of PCF has changed fundamentally. What was once a technically complex exercise carried out by Life Cycle Assessment (LCA) specialists is now expected to inform day-to-day business decisions. Senior leaders are no longer asking, “What is our carbon footprint?” but rather, “What should we do next?” This shift marks a transition from reporting to decision-making. While significant investment has been made in standards, certification, and reporting frameworks, relatively few organisations can confidently answer basic operational questions, such as: • Which product mix minimises carbon cost? • What are the key carbon drivers within an asset?

• Where should decarbonisation investment be prioritised? The underlying reason is consistent: PCF systems have largely been built as reporting tools. There are two distinct applications of PCF. Compliance and certification PCFs are typically backwards-looking, based on verified ‘actuals’ and designed to meet regulatory or standardised requirements. In contrast, decision-oriented PCFs are forward-looking, scenario-based, and designed to support ‘what-if’ analysis and optimisation. These applications require different data structures, levels of granularity, and system capabilities, yet organisations increasingly need to support both types. As demand grows across regulatory frameworks, certification schemes, and customer requirements, the challenge is no longer how to calculate a footprint, but how to do so efficiently and flexibly enough to support multiple, evolving uses. This is driving a shift from static reporting toward a dynamic, digitally enabled decision-making capability. Why current PCF approaches fall short In practice, PCF processes in many industrial organisations remain fragmented and manual. Data is spread across emissions systems, spreadsheets, and supplier questionnaires, while calculation models are often siloed in spreadsheet-based tools or standalone software. This leads to manual data reconciliation, inconsistent supplier inputs, limited scenario analysis, and poor transparency and auditability.