Many companies put their product carbon footprint on hold while they wait for supplier data. You do need accurate product data to calculate a PCF. But you don’t need to wait for supplier data to start. Your first calculation is exactly what shows you which data you need and where your gaps are.
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Ask a company why it hasn’t calculated a product carbon footprint yet. The answer is often the same: “We’re waiting for data from our suppliers.” That is understandable, but it is the wrong place to start. Public emission factor databases exist so you don’t have to wait. With the product data you already have, you can calculate a first PCF today.
Starting early has a clear benefit. The calculation itself shows you which data really matters and where your gaps are. That way, you know exactly what to ask your suppliers. You no longer have to ask them for everything.
Why calculate one now
Product carbon footprints (PCFs) are quickly becoming an expectation. There are a few concrete reasons for this. Climate commitments are one driver. Companies want to show their contribution, and many competitors already have PCFs available.
Customer pressure is another driver. More and more organisations pass their scope 3 targets down the supply chain. A PCF lets you respond to that and show your own progress. It can also set you apart in sales, or give you access to certain subsidies and financing.
Regulation is moving fast as well. The EU’s Empowering Consumers for the Green Transition Directive (EmpCo) is in force and applies since September 2026. It bans generic environmental claims such as “climate friendly” that you cannot prove. It also bans claims about a product’s climate impact that are based on offsetting. Every carbon related claim now needs solid evidence. A PCF or a full life cycle assessment (LCA, PEFCR), verified by an independent party, gives you that evidence. A PCF can also be part of the upcoming Digital Product Passport (DPP). The first product groups are batteries, iron and steel, and textiles. More sectors will follow.
Companies that already calculate a corporate carbon footprint (CCF) often see the PCF as the logical next step. It is the same discipline, applied to a product instead of a whole organisation.
Four steps, in the right order
Building a PCF model that you can scale comes down to four steps.
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Understand why you need a PCF and what it requires
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Map your product flow and collect accurate data
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Calculate the footprint and link the right emission factors
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Communicate the results and put them to work
Don’t skip the first step. Your scope, your system boundary and the products you start with all follow from why you calculate a PCF. Get that right, and the other three steps become much easier.
1. Understand why you need a PCF and what it requires
Start by pinning down the real driver. Is it a customer question, a competitor benchmark, upcoming legislation or a wish to redesign a product for lower impact? The answer defines your scope. It tells you which products to calculate first. It also tells you which system boundary applies.
That boundary can be cradle-to-gate, which covers everything up to your factory gate. Or it can be cradle-to-grave, which covers the full life cycle up to end-of-life.
A common pitfall is confusing a PCF with a full LCA. An LCA looks at water use, resource depletion and other environmental indicators next to carbon. A PCF only looks at carbon. If the driver is a customer request, check what they really need. Most of the time, it is a cradle-to-gate PCF value they can add to their own footprint. A full LCA is rarely necessary.
Tip: Think big, but start small. Screen the full scope first. Then calculate a handful of representative products before you roll out further.
2. Map your product flow and collect accurate data
This step takes the most time. It also determines the quality of everything that follows. Accurate product data produces reliable PCF results. Start by mapping the full product flow. Include every input, process and emission source. Then check which data is already available in your existing systems for each part of that map.
This is where starting early pays off. Mapping the flow shows you which data you already have and where the gaps are. Only then do you know which supplier data is worth asking for.
Raw materials are usually the easy part. Most products already have a bill of materials with detailed data at product level. Other categories, such as waste, are often only tracked at site level. You then need to allocate them to product level.
A common pitfall is making data collection too complex from day one. Focus the detail on the activities that really move the footprint. Work with the data you have, not the data you wish you had.
Tip: Pull data straight from your ERP system instead of offline spreadsheets where you can. That makes it realistic to scale to your full product portfolio later.
3. Calculate the footprint and link the right emission factors
For a first PCF, use a spreadsheet before you buy software or build a tool. A spreadsheet forces you to understand the data, the formulas and the logic behind them. You will need that understanding anyway, whatever tool you use later.
The hardest part is linking each line of product data to the right emission factor. Three things make this easier at scale.
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First, use the same emission factors as in your corporate carbon footprint. That keeps your CCF and PCF consistent. Reductions then show up in both.
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Second, build a reusable library of emission factors. Then you don’t have to look them up again each time.
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Third, apply the Pareto principle. Go into detail for the raw materials with the highest volume or impact. Use averages or material level factors for the rest.
Tip: AI can help you map emission factors to a large bill of materials. Treat the result as a first draft and always validate the mapping yourself.
4. Communicate the results and put them to work
This is the most valuable step, but it is often skipped. Before you share any results, document your methodology. Describe the standard you used, the system boundary, the assumptions and the calculation approach. This makes your numbers auditable. It also makes them usable for people other than the person who built the model.
Then share the results in two directions. Internally, R&D and product managers can use the hotspots to redesign products. Externally, sales teams can use PCF values in customer conversations, supported by good commercial documentation.
Sharing your PCF with customers adds real value. It is more than a one-time answer to a question. It can be the start of a relationship for the long term, in which you reduce the impact of your products over time, together with your customer.
You can take this one step further with a sustainability-linked business plan. In such a plan, you and a key customer agree on reduction targets and on the volumes that support them. This also tackles a common barrier in the transition: a low willingness to pay for greener products. Committed volumes make the investment in lower-impact products worthwhile for both sides.
One pitfall to avoid is a one-to-one comparison with other companies. Different methods and emission factor databases give different absolute values. That makes it close to meaningless to compare your PCF with that of another company. What customers really want to see is the reduction trend over time, not the absolute number.
Tip: Identify a few key customers who share your ambition. Build a sustainability linked business plan with them, and report on the reduction you achieve together every year.
Treat it as a habit, not a project
A PCF model is not a one-time deliverable. Emission factors change. Product portfolios change. Data quality improves over time. So you need to update the calculation regularly, just like your corporate carbon footprint. Refine it step by step as you go.
So don’t wait for supplier data to get started. Start with the scope and run the four steps on a handful of products. Let the first results show you which data you need next. Then scale from there.
Watch the full webinar
This article covers the core approach: the four steps and the pitfalls to avoid. The full webinar goes further. Watch the recording to:
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Learn why PCFs matter, and why now is the time to get started
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Understand the difference between an LCA and a PCF
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Discover practical steps to set up your own PCF model and scale it across a full product portfolio
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Avoid the most common pitfalls
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Hear directly from Van Genechten Packaging how they implemented a PCF calculator for their full product portfolio
