
Faced with increasing pressure from European regulations (CSRD, EU Taxonomy, EU Taxonomy, Digital Product Passport) and market expectations, businesses need to rethink how they design and manage their products.
In this context, product lifecycle management (PLM) solutions are becoming essential: they centralize data, structure processes and allow sustainability to be integrated by design; where 80% of a product's environmental impact is determined.
To help you see more clearly, Aletiq reveals in this article how a PLM system can help track, measure and optimize a product's environmental footprint, based on industry best practices.
The new regulations require companies to prove the environmental performance of their products. Precise monitoring of carbon footprint, resource use or recyclability is becoming essential for:
Consumers and partners are looking for products that:
Businesses that can demonstrate their real impact gain a competitive advantage.
Since 80% of a product's environmental footprint is linked to decisions made during the design phase, monitoring the impact makes it possible to compare alternatives, select responsible materials and improve production efficiency.
A PLM does not calculate the environmental impact of a product and does not replace a Life Cycle Assessment (LCA) tool. On the other hand, it plays a central role in making data reliable, structuring processes, and connecting teams, which is essential for conducting credible environmental assessments.
Here is what a PLM allows in concrete terms:
The majority of errors in environmental analyses come from incomplete, outdated, or untraceable data.
The PLM:
By avoiding the multiplication of local copies and duplicate files, PLM also contributes to reducing the company's digital footprint, since less data is stored, duplicated, or synchronized on servers.
Thanks to this “single source of truth,” PLM ensures that all teams rely on reliable and consistent data, which is essential to properly feed an LCA.
PLM manages the product structure (BOM, variants and configurations). It links each component to its material, to its supplier, to its manufacturing process, to its mass and to the associated recyclability data. It thus creates a true digital twin of the product, ready to be evaluated in an LCA tool.
The calculation is done in a dedicated tool (SimaPro, OpenLCA, EcoChain...), but PLM allows:
In this way, sustainability becomes accessible for product teams.
PLM is not an impact simulator, but it orchestrates the data that feeds the simulation.
It facilitates:
The calculation comes from the LCA tool, the preparation and consistency come from the PLM.
PLM simplifies the production of the data needed to:
It ensures that environmental data is based on reliable, versioned, and auditable product information.
Integrating sustainability into a PLM is more than just a technical connection. This requires solid product data structuring, accurate lifecycle modeling, and a seamless connection with environmental analysis tools. Here are the key steps to achieve this in a realistic and effective manner.
Before any integration into PLM, it is necessary to define all the data essential for environmental assessment: material information (composition, mass, recycled rate), industrial processes (energy consumption, emissions), use and end of life scenarios, as well as impact datasets from recognized databases.
The reliability of the analysis depends above all on the quality of this information.
PLM must accurately reflect the product: its BOM, its variants, its manufacturing processes, the location of key stages and its end-of-life scenarios. This modeling forms the digital twin on which environmental assessments will be based.
Once the data has been identified, it must be standardized and integrated into PLM objects: materials, components, processes, suppliers. The objective is to constitute a structured and versioned framework that will serve as a clean and coherent basis for any environmental analysis.
PLM does not calculate the impact itself. It is the LCA tool that carries out the analyses (CO₂ eq, water, resources...). The role of PLM is to supply these tools with reliable data and to retrieve the results to link them to the product and the corresponding versions.
This connection limits manual errors and guarantees methodological traceability.
The company must select the indicators it wants to monitor: carbon footprint, recyclability, critical resources, water use, waste... PLM then makes it possible to standardize them and associate them with products, ensuring consistency over time and between teams.
Finally, PLM centralizes and versions impact data, which facilitates the production of CSR reports, regulatory requirements (CSRD, DPP, PEF) and the preparation of materials for purchasing, quality or marketing. This centralization guarantees reliable and traceable information, which is essential for audits and transparency.
Setting up environmental monitoring in a PLM is not just about “plugging in” a CO₂ database. It is a structuring project that affects data quality, design, supply chain and LCA tools. Here are the key steps.
To effectively integrate sustainability into a PLM, it is essential to start with priority products, those that have the most impact or regulatory issues. The use of recognized impact databases (such as Ecoinvent) is also key: the quality of the results depends above all on the quality of the LCA datasets.
The approach must involve R&D, purchasing, quality and CSR teams from the start, in order to guarantee the consistency of data and processes. Finally, automating the collection and updating of product information reduces errors and ensures reliable traceability. PLM facilitates this automation by centralizing a single version of data, which limits duplicates and the associated digital footprint.
A common pitfall is to overestimate the role of PLM: it does not calculate the environmental impact, a task reserved for LCA tools. PLM structures and makes data reliable, but does not replace LCA methodology.
Data quality remains another critical point: incomplete or erroneous information distorts analyses, even with a powerful PLM. Working in silos should also be avoided, as it fragments data and limits the effectiveness of PLM.
Finally, focusing only on the carbon footprint is reductive. Other indicators — water, critical resources, waste, recyclability — can be just as essential depending on the product.
Monitoring the environmental footprint of a product does not depend on a single tool, but on good data control and effective collaboration between teams. This is precisely where PLM brings its value: it does not calculate the impact, but provides a reliable, versioned and traceable database, essential for carrying out credible environmental analyses.
By structuring the product, centralizing a single version of information, and facilitating the connection to LCA tools, PLM makes it possible to integrate sustainability earlier in the design and to meet regulatory requirements more accurately.
Companies that rely on a well-governed PLM will be able to better understand the real impact of their products and, above all, identify the levers to reduce it as early as the design phase.
It is the set of impacts generated by a product throughout its life cycle: extraction of raw materials, manufacturing, transport, use and end of life. Life Cycle Assessment (LCA) is the reference method for evaluating it.
No, not directly. PLM does not calculate environmental impact.
On the other hand, it provides reliable, structured, and traceable product dataS necessary for Life Cycle Analysis (LCA) tools, which perform the calculations.
The PLM can then display or store the results associated with the product versions.
The main ones are:
PLM promotes the circular economy by ensuring the complete traceability of materials, components and product versions. It makes it possible to document origin and recyclability, to track maintenance and end of life, and to gather the data necessary for the Digital Product Passport, thus facilitating reuse and recycling.