Product Carbon Footprint
This guide explains what a Product Carbon Footprint (PCF) is, the standards that govern it, and how to calculate one. It is intended for sustainability managers, PCF practitioners, and product teams who need to produce or review product-level emission calculations.
What is a Product Carbon Footprint?
A Product Carbon Footprint (PCF) represents the total greenhouse gas emissions generated by a product throughout its entire life cycle, from raw material extraction through manufacturing, transportation, use, and end-of-life. All emissions are aggregated and expressed in CO2 equivalent (CO2e) to provide a single, comparable metric.
Why it matters
A PCF serves multiple purposes. Internally, it identifies which stages of a product’s life cycle and which materials or process drive the most emissions, enabling targeted reduction efforts and better design decisions. Externally, it supports competitive positioning in Request For Proposal (RFP) or Request For Quotation (RFQ) processes (referred to as RFx processes), regulatory compliance (such as CSRD scope 3 reporting or Digital Product Passports (DPP)), and transparency towards customers and investors who increasingly require product-level carbon data.
Who does it matter to
PCFs matter for two groups. Manufacturers of industrial materials, components, and consumer goods are increasingly receiving PCF requests from large buyers with CSRD obligations and SBTi targets. Not being able to provide a PCF when asked is becoming a commercial risk in RFx RFP/RFQ processes and supplier evaluations. Sustainability platforms and ESG software providers need to embed PCF capabilities into their products as their customers face scope 3, DPP, and Carbon Border Adjustment Mechanism (CBAM) requirements. In both cases, the pressure flows top-down: regulation drives large enterprises to require product-level carbon data from their supply chain, creating cascading demand for fast, reliable, standards-aligned PCFs at scale.
PCF vs. Corporate Carbon Footprint
A corporate carbon footprint (CCF) measures the emissions of an organization’s operations, divided into Scope 1 (direct), Scope 2 (purchased energy), and Scope 3 (value chain). A PCF measures the emissions tied to a specific product across its life cycle. The two are complementary: suppliers can provide PCFs that feed directly into a buyer’s Scope 3 calculations.
Standards and Frameworks
Three standards form the primary framework for PCF calculations:
| Standard | Role |
|---|---|
| ISO 14040/44 | The foundational LCA standard. Defines the four-step framework: goal and scope definition, life cycle inventory (LCI), impact assessment, and interpretation. |
| ISO 14067 | Applies the LCA framework specifically to the climate change impact indicator. Provides rules for quantifying, reporting, and communicating a PCF. Built directly on ISO 14040/44. |
| GHG Protocol Product Standard | Aligns product-level accounting with broader corporate GHG reporting. Based on ISO 14040/44. |
Together, these ensure that PCF results are consistent and scientifically robust.
Related frameworks
PACT (Partnership for Carbon Transparency, led by WBCSD) standardizes how PCF results are shared between companies and gives methodology guidelines to calculate PCFs. In practice, when your customer asks for a PCF, they need to be able to trust and use the data you send them without having to redo the calculations or reconcile different formats. PACT defines a common structure for PCF data, including what fields must be included, how data quality is reported, and what format the results should be in, so that a PCF produced by one organization can be received and used by another directly.
EPDs (Environmental Product Declarations, governed by ISO 14025) are standardized documents that communicate the environmental impact of a product based on LCA results. A PCF calculated under ISO 14067 can serve as an input to an EPD, but an EPD goes further by covering additional impact categories beyond climate change (energy, water, waste, etc.). For organizations primarily focused on carbon, a PCF is often the right starting point before deciding whether a full EPD is needed. EN 15804, for example, is an EPD standard for construction products.
Key Concepts
Ingoing and outgoing flows
Ingoing flows are all inputs entering the system: raw materials, energy, water, and substances consumed during the life cycle. Outgoing flows are all outputs leaving the system: finished products, by-products, waste, emissions to air and water, and scrap. Mapping these flows accurately is the foundation of the life cycle inventory (LCI), the quantitative dataset that feeds the emission calculations.
Bill of Materials (BOM)
A Bill of Materials is a structured list of all components, sub-assemblies, raw materials, and their quantities that make up a finished product. In a PCF, the BOM is the primary input: each line item is mapped to an emission factor, and manufacturing process data (electricity, heat, fuel, direct process emissions) is layered on top. The BOM is typically the starting point for any PCF study.
Emission factor selection
Selecting the right emission factor for each material, process, or transport leg in a BOM is one of the most time-consuming parts of a PCF. It requires knowledge of the underlying data sources, the right geographical and temporal scope, and an understanding of which lifecycle boundaries are included in each factor. Getting this wrong can significantly distort results. To accelerate this step, our Mapping Agent uses AI to automatically match BOM line items to the most relevant emission factors in our database, handling ambiguous descriptions and multiple languages while maintaining full transparency and the ability to review or override any match.
The majority of emission factors in the Climatiq database are not calculated according to ISO 14067 and treat biogenic carbon dioxide emissions as neutral, which is the default treatment under most corporate and lifecycle standards. If you want to report under the ISO 14067 approach that includes gross biogenic emissions and removals then you need to ensure you only use emission factors that are calculated using the ISO 14067 (or EN 15804) standards. See the data sources pages in the Data Explorer . Conversely, if you want to use the “neutral” approach then do not use emission factors from sources that follow ISO 14067 or EN 15804. You should not combine emission factors that follow different standards.
Biogenic carbon dioxide emissions from biofuels in the “energy” part of the PCF tool are treated as neutral in line with common practice. You may need to add these emissions to your total if you want to report under ISO 14067; please refer to the ISO standard and any supporting methodologies for further guidance.
Note that it is critical to check that the emission factors selected follow the most appropriate methodology.
Primary vs. secondary data
Primary data is measured or calculated directly from a specific process or supplier: actual energy readings from a factory, a supplier-provided PCF, or measured transport distances. If you have access to primary data, you should upload it as emission factors through our Private Emission Factor endpoint. Secondary data is generic data drawn from databases (databases offered by Climatiq). These are often industry averages, such as an emission factor for average steel production in Europe.
Primary data yields more accurate PCFs but is harder and more costly to collect. Secondary data enables faster, scalable calculations with broader uncertainty. In practice, most PCF studies combine both: primary data where it matters most and is available, secondary data filling the gaps. The goal is to progressively replace secondary data with primary data over time, starting with the highest-impact components.
Life Cycle Phases
A PCF is structured across the key phases of a product’s life cycle. Each phase is calculated and reported separately, giving a clear breakdown of where emissions come from.
Raw Materials and Components
Emissions from the production of each input raw material or sub-component. This is typically the largest contributor to a product’s footprint and is where the BOM is mapped to emission factors.
Transportation
Emissions from moving components or raw materials to the manufacturing location. This includes upstream transport from suppliers and, for cradle-to-grave studies, downstream distribution to the customer. As of today, our PCF solution is focusing on upstream transportation. Multi-modal routing (road, sea, rail, air) is common for products with global supply chains.
Note that most emission factors are cradle-to-gate and already include transportation between the raw material extraction site and the factory or other gate. These are not usually separated out by the sources of emission factors and are not included in the “transportation” numbers given in the PCF output. However, this omitted secondary transport is typically minor enough to fall below the significance threshold.
Manufacturing
Emissions from the production process itself: electricity, heat, fuel combustion, and direct process emissions (for example, chemical reactions in cement production). This phase uses the manufacturer’s own operational data (primary data) combined with regional electricity emission factors.
Use phase
Emissions generated during the product’s operational life. This can include electricity consumed during operation, consumables used, or maintenance activities. The use phase is only included in cradle-to-grave studies and requires assumptions about product lifetime, usage patterns, and the energy grid where the product is used. These assumptions must be defined through the functional unit.
End-of-life
Emissions from disposal, recycling, or incineration at the end of the product’s life. End-of-life calculations depend on the material composition of the product and the disposal methods typical for the relevant geography.
System Boundaries and Functional Unit
System boundaries
System boundaries define which life cycle phases, processes, and activities are included in or excluded from the assessment. Common boundary choices are:
| Boundary | What it covers |
|---|---|
| Cradle-to-gate | Raw material extraction through manufacturing, before the product leaves the factory. The most common choice for B2B PCFs, or PCFs where you don’t know how the end-user will use the product. |
| Cradle-to-grave | The full life cycle, including use phase and end-of-life. Gives the most complete picture but requires more data and modeling assumptions. |
| Gate-to-gate | Manufacturing only. Used when the focus is on a single production step. |
Clearly stating system boundaries is mandatory under ISO 14067. Comparing PCFs with different system boundaries without accounting for those differences leads to unreliable comparisons.
Please refer to the dataset pages and source documentation for the specific boundaries for each emission factor used in the PCF. Note that some sources and datasets (for example, CBAM) may not include all upstream processes, while some others such as Agribalyse might contain emissions at the consumption and retail stage as well. In general, it is important to evaluate the life cycle stage that the emission factor covers to ensure it aligns with your PCF’s boundary requirements.
If you specify a particular emission factor then you must make sure that you also specify the correct LCA stage — see the LCA reference documentation.
The PCF Studio currently only calculates a partial carbon footprint (partial CFP under ISO 14067) from cradle-to-gate, while the PCF API allows to calculate either cradle-to-gate (partial CFP under ISO 14067) or cradle-to-grave PCFs. Use of the PCF API or PCF Studio does not mean that the resulting PCF meets the boundary requirements of the PCF standards.
Functional unit
The functional unit is the quantified reference to which all inputs, outputs, and impacts in a PCF are related. It defines exactly what is being assessed, for example “1 kg of finished aluminum sheet” or “1 smartphone ready for sale.”
The functional unit is the anchor for all calculations and is one of the key steps that makes results comparable between different studies or product alternatives. Without a clearly defined functional unit, comparing PCFs across products or suppliers is meaningless. For cradle-to-grave studies, the functional unit must also define the expected product lifetime and usage pattern.
Data Quality
Data quality ratings
A data quality rating indicates how reliable and representative the emission data used in a PCF is. It evaluates three dimensions:
| Dimension | What it measures |
|---|---|
| Technological representativeness | How well the data reflects the actual production technology used |
| Geographical representativeness | How well the data reflects the actual production location |
| Temporal representativeness | How well the data aligns with the actual production year |
Each dimension is scored from 1 (best) to 5 (worst). This gives a clear signal of where estimates are solid and where further data collection would improve accuracy. For the GHG Protocol for Products, the data quality statements must be qualitative, however we only provide quantitative numbers, aligned with PACT Pathfinder Framework. For GHG Protocol for Products compliance, you might need to add additional qualitative statements.
The PCF tool does not cover data quality ratings for emission factors or for data input by the user. These should normally be considered in any overall formal assessment of the final PCFs under the standards. Climatiq includes data quality ratings for some emission factors in the emission factor descriptions available in the Data Explorer where given by the source. If the description does not include a data quality rating you may need to refer to the source documents to understand any data quality issues given by the source.
Completeness and reliability
The GHGP Product standard includes two additional data quality indicators:
- Completeness: the degree to which the data are statistically representative of the process sites
- Reliability: the degree to which the sources, data collection methods, and verification procedures used to obtain the data are dependable
Climatiq does not include these indicators as they cover data collection processes that are specific to each user and PCF. These indicators should be completed by the user following the GHGP guidance.
Sensitivity and uncertainty analysis
A sensitivity analysis tests how much the final PCF result changes when key assumptions or input parameters are varied, for example switching the assumed electricity grid mix or adjusting a transport distance. An uncertainty analysis formally quantifies the reliability of results by evaluating data gaps, variability in input data, and modeling assumptions.
Both are required under ISO 14040/44 for a complete and transparent PCF study. Even if not formally required for every use case, running a sensitivity check on the top 3–5 emission contributors or inputs on which you are not sure about the quantity of materials or energy used is good practice: it tells you where improving data quality would have the most impact on your results.
The emission factors used in the PCFs are also subject to uncertainty and this should be included in uncertainty analysis. Some sources provide confidence intervals that can be found in the source documents. Climatiq provides links to source documents via the Data Explorer .
The Greenhouse Gas Protocol Product Standard requires “a qualitative statement on sources of inventory uncertainty and methodological choices… which include Use and end-of-life profile, allocation methods (for example, for recycling), GWP values used and calculation models”. Addressing these in turn:
Use: the PCF tool allows users to enter energy consumption or any other emission factor (for example, refrigerant gas release) for the use phase. You will need to consider the uncertainty in the consumption or other data you provide to meet this requirement. Please refer to the note above on uncertainty in emission factors.
End-of-life profile: the PCF tool uses a typical/average waste disposal method for the primary materials present in the final product. This includes any processing/sorting and transportation as well as emissions from landfill or incineration as applicable.
Allocation methods: emission factors typically use the cut-off approach whereby only emissions from final recycling processes are incorporated into the new product. The company disposing of the waste is allocated emissions from processing and disposal as above; no credit is given for waste if it is recycled. (Recycled products used as inputs may, however, be associated with lower emissions than products made from virgin materials.)
GWP values: all GWP values are GWP-100 and come from the IPCC Assessment Reports. The Assessment Report number (usually AR5 or AR6) is given in the PCF output. You may also refer to the emission factor pages in the Data Explorer to determine the AR version of a particular emission factor.
Calculation models: The exact calculation models used vary from source to source. Typically they will follow a model permitted by a corporate or lifecycle standard. See the source documentation for detailed methodologies.
Calculating a PCF with Climatiq
PCF Studio
PCF Studio is our tool for calculating product carbon footprints in minutes. It guides you through each step: importing a Bill of Materials, mapping materials to emission factors, and calculating results with a full audit trail. PCF Studio is built on our PCF API and is aligned with GHG Protocol, ISO 14067, and PACT. See the PCF Studio guide for more information.
Note that a PCF created in PCF Studio or the PCF API will not fully meet any PCF standard without additional calculations and documentation from the user. See the relevant sections of this document and refer to the underlying standards for the requirements.
Closing the gap to a fully ISO 14067 and GHG Protocol-compliant PCF
Climatiq’s PCF provides the calculation engine and a full audit trail that meet the quantification requirements within the partial audit scope. To turn the generated PCF into a certifiable one, you are responsible for defining the study and supplying the documentation that lives outside the tool. The main gaps to fill:
- Goal and scope — State the intended application, audience and any intended comparison/communication; define the product, functional (or declared) unit and reference flow; fix the system boundary (cradle-to-grave vs cradle-to-gate), plus the geographical and time boundaries; and document all assumptions, especially for the use and end-of-life stages (if using the Climatiq API).
- Methodology rules — Adopt any relevant Product Category Rules (PCR/CFP-PCR) or sector-specific guidance, and make sure your inputs follow them.
- Data — Provide primary/site-specific data for processes under your operational or financial control, justify and document any secondary data, and confirm the selected emission factors meet your needs (land-use change, biogenic vs fossil treatment) using the source-methodology links Climatiq surfaces.
- Allocation — Climatiq performs none. You must allocate inputs/outputs across co-products yourself and disclose and justify the method.
- Data quality and uncertainty — Climatiq provides quantitative (PACT) DQR scores; you must add the qualitative data-quality and uncertainty statements and describe your methodological choices.
- Reporting — Compile the CFP study/inventory report with all required disclosures: process map, excluded processes with justification, time period, GWP source, results by life-cycle stage, etc.
- Assurance — Obtain independent first- or third-party assurance and include the assurance statement; this is entirely outside Climatiq.
Note that the output of the PCF API and PCF Studio are aligned with the PCF standards, but do not constitute an entire PCF under the standards which require additional documentation. The user must provide this additional documentation as it covers data collection, system boundaries, analysis and limitations that are outside of the scope of the API and Studio.
Mapping Agent
When you input component names or material descriptions from a BOM, Mapping Agent automatically matches each item to the most relevant emission factor in our database. It works across languages, handles ambiguous or incomplete descriptions, and provides transparent, adjustable results. You can review and override any match.
What PCF Studio calculates
PCF Studio structures calculations across the key life cycle phases: components, transportation, manufacturing (electricity, heat, fuel, direct process emissions), and soon, use phase, and end-of-life. Each phase is reported separately, and every calculation comes with a full audit trail so results can withstand regulatory and customer scrutiny.
Multi-country supply chains
For products with components sourced from multiple suppliers or regions, we use weighted average emissions that incorporate the appropriate geographical emission factors. Transport emissions are calculated using our GLEC-accredited Freight feature, which constructs intermodal routes and selects logistics hubs automatically based on origin and destination.
Handling data gaps
When primary data is not available for a given component or process, PCF Studio provides transparent secondary-data estimates drawn from our database. The data quality rating flags exactly where these estimates are used, so you always know the reliability of each part of your calculation. You can override any estimate with your own primary data at any time to progressively improve accuracy.
It is always important to review the assumptions and results carefully before using a PCF in an audit or formal disclosure context. A PCF is only as strong as the data and review behind it.
Built on our PCF API
PCF Studio is the user-facing interface, but under the hood it is powered by our PCF API. The API is available for developers and platform partners who want to integrate PCF calculations directly into their own software, ERP systems, or sustainability tools. It exposes the same calculation logic, emission factor matching, audit trail, and data quality scoring that PCF Studio uses, and can be called programmatically for batch processing or automated workflows. For teams building PCF capabilities into their own products, the API provides a fully documented, standards-aligned calculation engine without the need to build or maintain one internally.
Versioning
Every calculation in PCF Studio is versioned using a dedicated product_id and version_id, making it straightforward to track changes over time, compare versions, and maintain a clear audit trail as your PCF matures.
For technical documentation, see the PCF API reference.
Using and Communicating PCF Results
Driving emission reductions
Once you have a PCF broken down by life cycle phase and material, you can see which life cycle phase or specific material/component drives the most emissions. This makes it possible to prioritize reduction efforts where they will have the greatest impact, whether that means switching to a lower-carbon material, changing a supplier, or redesigning a component. It also helps avoid decisions that simply shift emissions from one phase to another without reducing the overall total.
External communication
Communication of PCF results must follow the relevant standards to avoid miscommunication. ISO 14067 specifies what must be disclosed: the functional unit, system boundaries, data sources, and methodology used. ISO 14025 governs EPDs. ISO 14020/14021 provides general environmental labeling principles to ensure claims are accurate and not misleading. Getting the communication right matters as much as getting the calculation right.
Regulatory use
Because our calculations are aligned with GHG Protocol and ISO 14067, include a full audit trail, and carry data quality ratings, they are suitable for regulatory requirements but will need a review and additional documentation by the user (such as CSRD scope 3 and Digital Product Passport) and for responding to customer RFx requests that require product-level emission data. The methodology transparency also supports third-party verification when needed.
When to recalculate
A PCF should be updated whenever there is a significant change to the product (new materials, new suppliers, redesign), the production process (new machinery, new energy sources), or the data context (updated emission factors, revised standards). Annual recalculation is a reasonable default for commercially active products, particularly as primary data from suppliers becomes progressively available to replace secondary estimates.
For more on how we handle emission factor data, see our database overview guide and Methodology Hub . To get started with PCF calculations, visit PCF Studio or contact us .
Methodology FAQ
What is the difference between a PCF and a corporate carbon footprint?
A corporate carbon footprint measures the GHG emissions of an organization’s operations, divided into Scope 1 (direct emissions), Scope 2 (purchased energy), and Scope 3 (value chain emissions). A PCF measures the emissions tied to a specific product across its entire life cycle. The two approaches are complementary: suppliers can provide PCFs that feed directly into a buyer’s Scope 3 calculations.
What does a PCF actually measure, what is included and what is left out?
A PCF covers the CO2e emissions that can be attributed to a product across its defined life cycle phases: raw materials, manufacturing, upstream and downstream transportation, the use phase, and the end-of-life disposal or recycling. What gets included or excluded depends on the system boundaries set at the start of the study. This is why clearly defining system boundaries before starting a calculation is one of the most important steps in any PCF study.
What is a functional unit, and why does it matter?
The functional unit is the quantified reference to which inputs, outputs, and impacts in a PCF study are related. It defines exactly what is being assessed, for example “1 kg of finished aluminum sheet” or “1 smartphone ready for sale.” It is the anchor for all calculations and makes results comparable between different studies or product alternatives. Without a clearly defined functional unit, comparing PCF results across products or suppliers is meaningless.
Which international standards govern PCF calculations?
Three standards form the primary framework:
- ISO 14040/44: the foundational Life Cycle Assessment (LCA) standard that provides the framework to conduct an LCA study, with 4 main steps: goal and scope definition, life cycle inventory, impact assessment, and interpretation.
- ISO 14067: applies the LCA structure specifically to CO2 emissions, providing rules for quantifying and communicating a PCF.
- GHG Protocol Product Standard: aligns product-level accounting with broader corporate GHG reporting practices, based on ISO 14040/44.
Together, these ensure PCF results are consistent, comparable, and scientifically robust.
ISO 14040 establishes the overall framework for Life Cycle Assessment, while ISO 14044 specifies the technical requirements for its implementation. They define every methodological step: goal and scope definition, life cycle inventory analysis, impact assessment, and interpretation. Because ISO 14067 is built directly on this foundation, understanding ISO 14040/44 is useful context for anyone conducting or reviewing a PCF study, even if the PCF itself focuses only on the CO2e impact indicator.
What is ISO 14067 specifically?
ISO 14067 is the standard dedicated to the quantification and communication of a Product Carbon Footprint. It inherits the four-step structure from ISO 14040/44 but narrows the scope to a single environmental indicator: climate change, expressed in CO2e. It provides specific guidance on system boundaries, allocation rules, biogenic carbon treatment, and how to communicate results in a way that is transparent and not misleading.
What is the relationship between a PCF and a full Life Cycle Assessment (LCA)?
A PCF is a focused application of LCA methodology. A full LCA evaluates a broad range of environmental impacts, including acidification, eutrophication, water use, mineral depletion and other, across a product’s life cycle. A PCF uses the same methodological structure (defined by ISO 14040/44 and ISO 14067) but limits the scope to a single indicator: climate change, expressed in CO2e. For most organizations responding to customer requests, regulatory requirements, or RFx processes, a PCF delivers the product-level carbon data they need without the time and cost of a full LCA.
How are emission factors selected and matched to product components?
Selecting the right emission factor for each material, process, or transport leg in a product’s bill of materials is one of the most time-consuming parts of a PCF. It requires knowledge of the underlying data sources, the right geographical and temporal scope, and an understanding of which life-cycle boundaries are included in each factor. Doing this manually at scale is slow and error-prone, which is exactly why an AI-powered matching tool like Mapping Agent exists to automate, accelerate, and scale this step while maintaining methodological rigor.
What is a Bill of Materials (BOM) and how is it used in PCF calculations?
A Bill of Materials is a structured list of all components, sub-assemblies, raw materials, and their quantities that make up a finished product. In PCF calculations, the BOM is the primary input: each line item is mapped to an emission factor, and manufacturing process data (electricity, heat, direct emissions) is layered on top. The BOM is often the starting point for a PCF study.
What is a data quality rating?
A data quality rating indicates how reliable and representative the emission data used in a PCF calculation is. It evaluates three dimensions: technological representativeness (how well the data reflects the actual technology), temporal representativeness (alignment with the production year), geographical representativeness (alignment with the actual location). In our PCF API, data quality is expressed as a score between 1 (best) and 5 (worst), giving users a clear signal of where estimates are solid and where further data collection would improve accuracy.
The overall data quality ratings may be interpreted as: 1 = Very good, 2 = Good, 3 = Fair, 4 = Poor, 5 = Very poor.
The data quality ratings do not cover: (i) the data quality ratings given by emission factor sources for their emission factors; (ii) primary (or secondary) data collected (for example, quantities) and entered by the user.
If you want to complete a formal PCF in full compliance with the standards then you may need to include the data quality ratings of the emission factors used.
Climatiq does not currently include a measure of precision (statistical variability of data values) in the data quality ratings given in the PCF tool. This is due to a lack of data and to the complexity of calculating such a measure, especially given incomplete data. In most cases the user will not be able to provide an estimate of precision (for example, a 95% confidence interval) for their data and most sources of emission factors do not provide this information.
What is the difference between primary and secondary data?
Primary data is measured or calculated directly from a specific process or supplier, for example actual energy readings from a factory or a supplier-provided PCF. Secondary data is generic background data drawn from databases or industry averages, such as an average emission factor for steel production in Europe. Primary data yields more accurate PCFs but is harder and more costly to collect. Secondary data enables faster, scalable calculations with broader uncertainty. In practice, most PCF studies combine both, with primary data used where it matters most and secondary data filling the gaps.
What are sensitivity and uncertainty analyses?
A sensitivity analysis tests how much the final PCF result changes when key assumptions or input parameters are varied, for example switching the assumed electricity grid mix or adjusting a transport distance. An uncertainty analysis formally quantifies the reliability of results by evaluating data gaps, variability in input data, and modeling assumptions. Both are required under ISO 14040/44 for a complete and transparent PCF study.
How does Mapping Agent handle emission factor mapping?
When you input component names or material descriptions from a BOM, Mapping Agent, our AI-powered mapping tool, automatically matches each item to the most relevant emission factor in our database. It works with 47 different languages, handles ambiguous or incomplete descriptions, and provides transparent, adjustable estimates for any gaps. Rather than spending hours manually searching through data sources, users can let Mapping Agent search our database and return a best-match result, with full visibility into which factor was selected. Users can review and override matches at any time.
What emission phases does PCF Studio calculate?
PCF Studio structures calculations across the key phases of a product’s life cycle:
- Components: emissions from the production of each input raw material or sub-component.
- Transportation: emissions from moving components or raw materials to the manufacturing location.
- Manufacturing: emissions from the production process itself, including electricity, heat, fuel, and direct process emissions.
Each phase is reported separately, giving a clear breakdown of where emissions come from across the full life cycle.
Which standards does our PCF methodology align with?
Our PCF calculations are aligned with two key references: the GHG Protocol Product Life Cycle Accounting and Reporting Standard and ISO 14067. For logistics calculations, we use GLEC-certified methodology. For energy, calculations follow ISO-certified methods. All results are expressed in CO2e using GWP100, consistent with GHG Protocol requirements, and every calculation comes with a full audit trail so results can withstand regulatory and customer scrutiny.
How does PCF Studio handle data gaps?
When primary data is not available for a given component or process, PCF Studio provides transparent, adjustable secondary-data estimates drawn from our database. The data quality rating flags exactly where these estimates are used, so you always know the reliability of each part of your calculation. You can override any estimate with your own primary data to progressively improve accuracy. That said, it is always important to review the assumptions and results carefully before using a PCF in an audit or formal disclosure context — a PCF is only as strong as the data review behind it.
Can PCF Studio calculations be used for regulatory reporting and RFx responses?
Yes. Because calculations are aligned with GHG Protocol and ISO 14067 standards, include a full audit trail, and carry a data quality rating, they are suitable for fulfilling the quantitative portion of regulatory requirements (such as CSRD scope 3 and Digital Product Passport) and for responding to customer RFx requests that require product-level emission data. The methodology transparency also supports third-party verification when needed. However it is important to note there are additional outputs required — see the Closing the gap to a fully ISO 14067 and GHG Protocol-compliant PCF section above.
How does PCF Studio handle multi-country supply chains?
For components sourced from multiple suppliers or regions, we use weighted average emissions that incorporate the appropriate geographical emission factors. End-of-life and logistics calculations are automated using our Freight and Mapping Agent endpoints that construct intermodal transportation routes and select the most likely disposal methods based on material type and geography, directly addressing the complexity of products that touch multiple energy grids and manufacturing processes across different countries.
How should PCF results be used to drive emission reductions?
Once you have a PCF broken down by life-cycle phase and material, you can clearly see which life cycle phase or component of the product drives the most emissions. This makes it possible to prioritize reduction efforts where they will have the greatest impact, whether that means switching to a lower-carbon material, changing a supplier, or redesigning a component. It also helps avoid decisions that simply shift emissions from one phase to another without reducing the overall total. This kind of targeted action is far more effective than trying to optimize without data.
How should PCF results be communicated externally?
External communication of PCF results must follow the relevant standards to avoid miscommunication. ISO 14067 specifies what must be disclosed: the functional unit, system boundaries, data sources, and methodology used. ISO 14025 governs EPDs. ISO 14020/14021 provides general environmental labeling principles to ensure claims are accurate and not misleading. Getting the communication right matters as much as getting the calculation right.
How often should a PCF be recalculated?
A PCF should be updated whenever there is a significant change to the product (new materials, new suppliers, redesign), the production process (new machinery, new energy sources), or the data context (updated emission factors, revised standards). Annual recalculation is a reasonable default for commercially active products, particularly as primary data from suppliers becomes progressively available to replace secondary estimates. In PCF Studio, every calculation is versioned using a dedicated product_id and version_id, making it straightforward to track changes over time, compare versions, and maintain a clear audit trail as your PCF matures.
Does the energy use in the manufacturing stage use gross or net calorific values?
The PCF tool uses Climatiq’s Energy endpoint to calculate combustion and upstream/well-to-tank emissions.
If you enter values as units of energy (for example, kWh/MJ) then the default emission factor uses the gross calorific value (upper/superior heating value) of the fuel, in line with common practice. If you have the net calorific value (lower/inferior heating value) then you will need to use a _net suffix to the fuel type. For example, natural_gas_net rather than natural_gas.
What is a partial PCF?
A partial PCF is one that only covers selected processes and lifecycle stages. Currently the PCF API and PCF Studio only produce partial PCFs as they only cover lifecycle stages from cradle to gate. A cradle-to-grave PCF covering all lifecycle stages may still be partial if the exclusion of processes leads to a significant change in the value of the PCF.
What is the difference between a PCF and CFP?
These are interchangeable terms. The GHGP Product standard uses the common term “Product Carbon Footprint” (PCF) and ISO 14067 uses the term “Carbon Footprint of a Product” (CFP).