Product Carbon Fooprint

Compute, review, and share PCFs faster than ever

Q: What is a Product Carbon Footprint (PCF)?

A Product Carbon Footprint (PCF) measures the total greenhouse gas emissions generated throughout a product's lifecycle, from raw material extraction through manufacturing, distribution, use, and end-of-life disposal.

Q: Why do companies need to calculate PCFs?

Companies need PCFs to meet regulatory requirements, respond to customer demands for transparency, identify decarbonization opportunities, and maintain competitive advantage in sustainability-conscious markets.

Q: What data do I need to calculate a PCF?

PCF calculation requires Bills of Materials, energy and utility records, waste streams data, transportation information, and other product-specific inputs that can be imported via flat files, bulk import, or API integration.

Q: How does CO2 AI calculate PCFs automatically?

CO2 AI automatically cleans imported data, applies appropriate emission factors using AI-powered matching, and runs its computation engine to calculate accurate PCFs with full traceability and audit trails.

Q: Is CO2 AI compliant with PACT and TfS standards?

Yes, CO2 AI complies with leading industry standards including PACT, TfS, PEF, GHG Protocol, and ISO 14067/14044, ensuring all calculations meet regulatory and industry requirements.

Q: Can I share PCFs directly with my customers?

Yes, CO2 AI enables sharing of PCFs with customers and stakeholders in PACT and TfS compliant formats via API, CSV, or PDF. Compute once and share as many times as needed.

Q: Can CO2 AI handle complex product structures?

Yes, CO2 AI can handle complex product structures and calculate footprints across thousands of SKUs at once with shared data, consistent rules, and automated allocation.

Q: How is CO2 AI different from a standard carbon accounting tool?

CO2 AI is specifically designed for product-level carbon footprinting with AI-assisted calculation, automated data enrichment, and seamless sharing capabilities, unlike standard corporate carbon accounting tools.

Q: How long does it take to compute a PCF with CO2 AI?

CO2 AI significantly accelerates PCF computation through automation and AI, enabling calculation across thousands of products simultaneously compared to manual processes.

Q: Do my R&D teams need to be carbon experts to use CO2 AI?

No, CO2 AI is designed to be accessible to R&D, procurement, and sustainability teams without requiring deep carbon expertise, thanks to its automated processes and AI-powered guidance.

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AI-ASSISTED PRODUCT FOOTPRINTING

Know the Carbon Footprint of Every Product You Make

Your customers are asking. Regulators are requiring. Your competitors are already moving.
CO2 AI makes Product Carbon Footprint computation fast, accurate, and scalable, so you can turn carbon data into a competitive advantage.

PCF Computation Is Broken. Here Is Why.

Most companies still calculate Product Carbon Footprints manually, in spreadsheets, disconnected from their actual product data. The result: months of work, unreliable numbers, and carbon insights that come too late to drive real decisions.
‍
Three root causes make PCF hard at scale:

‍PCFs are complex to simulate. Industrial products involve multi-level Bills of Materials, shared components, by-products, and dozens of emission sources. Standard tools cannot handle that complexity.

Sustainability, R&D and Procurement teams work in silos. Carbon data lives in sustainability reports, not in product development workflows. Designers make decisions every day without knowing the carbon impact.

The companies that will win on sustainability are those that make carbon data as accessible as cost or performance data. CO2 AI is built for exactly that.

How CO2 AI works

CO2 AI brings all your product carbon data into a single, automated system - turning raw inputs into certified, shareable footprints. No manual work. No trust gaps.

Collect

Import your product data from any source: Bills of Materials, energy and utility records, waste streams, transportation... Upload via flat files, bulk import, or API integration.

Compute

CO2 AI automatically cleans your data, applies the right emission factors using AI-powered matching, and runs its computation engine to calculate accurate PCFs.

Review

Validate Emission Factors and footprint calculation results with a full audit trail. Every assumption, every data, every calculation step is traceable and transparent.

Share PCFs with customers and stakeholders in PACT and TfS compliant formats, via API, CSV, or PDF. Compute once, share as many times as you need.

Protect your customer relationships. Your customers want proof that your products are getting cleaner. With CO2 AI, you can deliver verified, PACT-compliant PCFs on demand, turning carbon transparency into a retention and loyalty driver.

Respond to customer PCF requests at scale. Whether you receive 10 or 10,000 PCF requests per year, CO2 AI handles it. Automated computation and exchange workflows let you respond faster without adding headcount.

Make sustainability part of innovation. When R&D teams can see the carbon impact of every design choice, sustainability becomes a driver of product innovation, not a compliance exercise. CO2 AI democratizes access to environmental indicators across your entire organization.

Build trust with a certified standard. PACT conformance is not a checkbox. It is a guarantee that your PCFs are calculated and shared according to the most rigorous industry standards. CO2 AI keeps you up to date automatically as those standards evolve.

Balance speed and control with AI-Assisted Calculation

Speed up your product footprints calculation, across thousands of SKUs at once.

Automatically enrich your data and allocate emissions across products with shared data, consistent rules, and the CO2 AI Agent for emission factor matching.

Obtain compliant LCAs, with full traceability and auditability.

Comply with leading industry standards such as PACT, TfS, PEF, and ISO 14067/14044. All data changes and the computation methods are recorded in a single source-of-truth for easy auditing.

Easily share LCAs with customers to stand out from competition.

Export robust LCAs, ready to be shared as PACT-compliant PDFs in one click. Stand out from the crowd and protect your share of business.

Unlock actionable decarbonization initiatives.

Visualize emissions hotspots across any parameters (ingredients, materials, processes, etc.), simulate eco-design changes, and track your progress at product and corporate levels.

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Comply with international standards

chemicals

Industrializing product footprinting

A leading chemicals producer faced hundreds of customer requests for product-level data. 

CO2 AI is working to enable the company to scale impact measurement from a few products to thousands, aligning with key standards including PACT, Together for Sustainability, and PEF. 

Providing transparent, reliable product data enables the company to protect its share of business with its largest customers, as well as to identify key areas for reduction across ingredients, materials, and processes. Product owners, buyers, R&D engineers, and sustainability teams work hand-in-hand to accelerate the journey to Net Zero and reinforce the company’s leadership in sustainability.

Thousands
of product footprints
2045
Target year for full climate neutrality

Recognized in Verdantix's 2025 Smart Innovators in Product Carbon Footprinting

The independent research and advisory firm Verdantix featured CO2 AI among companies at the forefront of PCF innovation in their 2025 report.

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FAQ

What is a Product Carbon Footprint (PCF)?
‍A Product Carbon Footprint measures the total greenhouse gas emissions generated across a product's lifecycle, from raw material extraction to manufacturing, transportation, and end of life. It is expressed in kg or tons of CO2 equivalent (CO2e) and is the standard metric used by customers, regulators, and sustainability frameworks like PACT and TfS.

‍Why do companies need to calculate PCFs?
‍Customer demand for PCF data is growing fast, driven by corporate decarbonization commitments, supplier qualification requirements, and incoming regulations. Companies that cannot provide verified PCFs risk losing contracts and falling behind competitors who can demonstrate measurable emissions reductions at the product level.

‍What data do I need to calculate a PCF?
‍CO2 AI can compute PCFs from four main data types: Bills of Materials (BOM), energy and utility consumption, waste data, and transportation records. You can upload this data via flat files, bulk import, or direct API integration with your ERP or PLM system.

‍How does CO2 AI calculate PCFs automatically?
‍CO2 AI combines three core capabilities: automated data cleaning and transformation, a computation engine that applies the right methodology to your product structure, and AI-powered emission factor matching that maps your inputs to the most relevant carbon factors. The result is a traceable, auditable PCF without manual work.

‍Is CO2 AI compliant with PACT and TfS standards?
‍Yes. CO2 AI is a PACT-conformant solution and maintains an active partnership with the Partnership for Carbon Transparency. This means the PCFs computed on CO2 AI meet the latest industry standards for methodology and data exchange, and the platform is updated automatically as those standards evolve.

‍Can I share PCFs directly with my customers?
‍Yes. CO2 AI includes a built-in PCF exchange system. You can share PCFs via API for IT integration and bulk requests, CSV for large-volume exchanges, or PDF for individual customer-facing documents. All formats are PACT and TfS compliant.

‍Can CO2 AI handle complex product structures?
‍Yes. CO2 AI is built for industrial complexity. It supports multi-level Bills of Materials, reused materials, shared components, and by-products. Every layer of your product structure is accounted for, with a complete audit trail for each calculation.

‍How is CO2 AI different from a standard carbon accounting tool?
‍Most carbon accounting tools are designed for corporate-level Scope 1, 2, and 3 reporting. CO2 AI is purpose-built for product-level carbon footprinting at scale, with direct integration into product development workflows. It is designed to be used by R&D and engineering teams, not just sustainability experts.

‍How long does it take to compute a PCF with CO2 AI?
‍Once your data is connected, PCFs can be computed in a fraction of the time it takes with manual methods. The exact timeline depends on your data readiness, but CO2 AI is designed to handle thousands of PCFs with the same setup.

‍Do my R&D teams need to be carbon experts to use CO2 AI?
‍No. CO2 AI is built specifically for teams who are not carbon specialists. The platform automates the most technical steps, including emission factor matching and methodology application, so product and engineering teams can access carbon insights without needing deep sustainability expertise.