Product Carbon Footprint
Calculate the carbon footprint of your products – from a single item to your entire portfolio. Automated, with the option of automatic connection to your internal ERP systems.
What We Do
Complete CO₂ footprint of products according to ISO 14067
01
Data collection and scope definition
Defining the scope of a product from cradle to grave and collecting all the emission data is often the most difficult step. That's why our consultants come directly to you, walk you through the manufacturing process, check all relevant data sources, and explain what needs to be monitored and how. We train your teams so that data collection runs smoothly, without errors or unnecessary delays.
02
Data evaluation
Manual carbon footprint calculations tend to be time-consuming, inaccurate, and difficult to justify. The Greenometer platform complies with the international ISO 14067 standard and works with the latest databases, such as Ecoinvent, DEFRA, and IEA. In addition, it can connect to your ERP system and perform calculations 100% automatically. This gives you calculations that are recognized by regulators and certification agencies. What's more, you have all your data clearly organized in one place—from a single product to your entire product portfolio.
03
Data audit
At the end, you will get more than just numbers. We deliver auditable, customized reports, supplemented with comprehensible graphs, detailed outputs, and comparisons of products with alternatives. Recommendations for reducing emissions and cost estimates are also included, so you have documentation that can be used for regulators, investors, and PR.
We know what AI does not tell you
Product Composition
AI cannot determine on its own which components, processes, and life cycle stages should be included in the calculation. Without expert assessment, it cannot correctly establish the functional unit, system boundaries, or relevant exemptions for a specific product.
Production Data Collection
AI cannot independently set up reliable data collection from production or choose defensible allocation rules. It cannot correctly decide how to allocate energy consumption, waste, or overhead processes among products sharing the same technologies.
Methodological Inaccuracies
AI does not automatically recognize all methodological inconsistencies, incomplete inputs, or errors in units and time periods. Without expert review, it might carry these flaws into the calculation, creating a formally precise but factually incorrect result.
Portfolio-Wide Scaling
AI cannot design a robust system to scale calculations across an entire product portfolio on its own. Without properly configured data links, rules, and controls, automation may only multiply the original errors faster across hundreds of products.
There's a better way
Location:
Prague, Czechia
Bratislava, Slovakia
Sofia, Bulgaria
Bucharest, Romania
Delhi, India
Jakarta, Indonesia