The webinar is over, but here is everything that matters.

How to calculate the carbon footprint of your products, respond to client requests with confidence and build a repeatable, certifiable process based on ISO 14067.

Why product carbon footprint is now a commercial requirement

Manufacturing companies across automotive, chemicals, packaging and industrial machinery are receiving the same message from their largest clients: we need the carbon footprint of the products we buy from you. This is no longer a sustainability department initiative. It is a procurement condition.

The drivers are converging. The CSRD requires companies to report Scope 3 emissions, which means they need data from their suppliers. Catena-X and similar industry data ecosystems are standardizing how product carbon footprints (PCFs) flow across supply chains. OEMs and Tier 1 suppliers are already requesting PCFs from their Tier 2 and Tier 3 partners with contractual deadlines.

PCF vs full LCA: knowing what your client actually needs

Not every client request requires the same depth of analysis. The key distinction:

Product carbon footprint (PCF): Measures only greenhouse gas emissions across the product life cycle. Follows ISO 14067. This is what most client requests ask for: the CO2-equivalent per unit of product. Faster to calculate, easier to compare across suppliers.

Full life cycle assessment (LCA): Covers all environmental impact categories (water use, toxicity, land use, resource depletion and more). Follows ISO 14040/14044. Required for environmental product declarations (EPDs) and some regulatory filings. More comprehensive but significantly more resource-intensive.

Most manufacturing companies should start with PCF. It answers the immediate client question, builds the data infrastructure and can be extended to a full LCA later if needed.

Three maturity levels for product footprinting

Level 1: Generic estimates. Using industry averages and secondary data from databases like Ecoinvent. Fast to produce, but low differentiation. The client gets a number, but it does not reflect your actual production processes. Useful as a starting point, not as a final answer.

Level 2: Company-specific data with standard processes. Combining your real production data (energy consumption, material bills, transport distances) with emission factor databases. The PCF reflects your actual operations. This is where most client requests land today.

Level 3: Fully primary data with automated collection. Real-time data from production systems, supplier-specific emission factors, automated calculation pipelines. The PCF updates as your processes change. This is where the market is heading, driven by Catena-X, CSRD and the push for auditable, traceable data.

Real cases: what manufacturing companies are discovering

Companies that go through the PCF process consistently find surprises:

• Hidden hotspots: Raw materials and purchased components often represent 60-80% of the total footprint, far more than energy at the manufacturing plant. Companies that focused only on their own energy consumption were missing the largest lever.
• Supplier decisions that matter: Switching a single material supplier can reduce the footprint of a product by 15-30%. But you cannot optimize what you do not measure.
• The reusability advantage: Once you build an LCA model for one product, the formulas, emission factors and data connections can be reused for product variants. The second PCF takes a fraction of the time of the first.

How Dcycle helps manufacturing companies

• Reusable LCA building blocks: Create formulas that build on each other. Calculate a sub-assembly once and reuse it across every product that contains it. No duplicate work.
• Automatic emission factors: The platform matches your materials and processes to the right emission factors from Ecoinvent and other databases, so you do not have to search manually.
• Hotspot identification: Visual dashboards show exactly where the largest impacts are, by material, process, transport leg or supplier, so you can prioritize reduction actions.
• Certifiable output: Reports aligned with ISO 14067 and ISO 14040, ready for client delivery or third-party verification.
• From one product to the full catalog: Start with your most-requested product and scale to the entire portfolio using the same data infrastructure.

The path forward

The companies that act now will have a structural advantage. They will respond to client requests faster, negotiate from a position of data confidence and identify cost-saving opportunities hidden inside their environmental footprint.

The first step is not perfection. It is getting started with the data you already have and building from there.