Keep a track of the latest updates on the fashion and retail regulations in the United State and understand their implications for your brand:
AI Led Innovation
Carbon Trail leverages advanced AI/LLM models for processing and mapping unstructured product and supply chain data, empowering our clients to measure impact at scale with a click on button.
Textile Industry Network
Our LCA engine is trained with primary facility data in collaboration with hundreds of manufacturers. Carbon Trail has developed a comprehensive library of LCAs for fabrics and custom emission factors.
Enterprise Controls
Carbon Trail offers scalability and ease of use for Enterprise Clients to measure environmental impact at scale covering entire product collections with granular insights from farm, mill to customer.
Automate your corporate carbon accounting powered with accurate product impact and primary supply chain data
Germany aims to reach net zero by 2045, and states that emissions shall move to net negative after 2050.
Decarbonisation software is emerging as a critical tool for fashion retail to effectively manage their environmental impact and transition towards achieving a net-zero future. The advanced platforms are using AI to automate repetitive tasks, build advanced scenario models, and generate recommendations for the most impactful and low-cost climate initiatives.
A decarbonisation program is a structured plan aimed at reducing corporate greenhouse gas emissions, particularly carbon dioxide, within a fashion brand or retailer. Most effective decarbonisation plans require close collaboration with textile manufacturers, climate investors or institutional funds, and internal stakeholders. For more details, read our blog on decarbonisation.
duced greenhouse gas emissions by 24% in 2023 compared to 2022. Puma is focusing on increasing renewable energy use at core suppliers and using less carbon-intensive materials.
Certain sectors, like Cement, Steel and Chemicals are hardest to decarbonise in Germany. The fashion retail industry also posses a significant challenge with the rise of fast fashion and lack of recycling/waste management programs.
AI-powered Product footprint at scale aligned with global standards like ISO/PEF/ADEME leveraging primary product, supplier/facility, and traceability data.
Carbon Trail’s scenario planning module allows teams to define targets, configure carbon reduction initiatives, and simulate the impact of initiatives on the overall corporate carbon footprint.
Carbon Trail offers an automated alternative to collect, validate and verify primary supplier data from facilities on a frequent basis.
Measuring product footprints is hard work. Data is often incomplete, assumptions creep in, and getting inputs from across teams and facilities can be a challenge.
At Carbon Trail, our goal is to make lifecycle assessments (LCAs) more reliable, transparent, and easier to manage. This month, we’re excited to announce three new capabilities designed to do just that.
When you calculate a product footprint, you now get more than just a single number.
Each result includes a 95% confidence interval, showing the range your impact is likely to fall within.
You also see the uncertainty contribution of each process or material. For example, knitting might account for 50% of your uncertainty, while spinning contributes 22%.
This makes it easier to know where to focus your data collection efforts to narrow the range and improve accuracy.
Sometimes, you’re not fully sure about an input—like product weight or energy use. Instead of guessing, you can now test scenarios.
Run calculations with different values (e.g., 150 g, 200 g, 250 g).
Compare results side by side to see how sensitive your footprint is to changes.
This gives you confidence about which assumptions matter most, and which ones won’t significantly affect your results.
Collecting data across teams and facilities is often the hardest part of carbon accounting. We’ve built a workflow to make it easier:
Create structured requests for data (e.g., energy, transport, fuels).
Assign responsibilities to specific users and facilities.
Set priorities and deadlines, and track responses in one place.
Once approved, the submitted data flows directly into your inventory and emissions are calculated automatically.
This keeps your data collection organized, auditable, and less reliant on messy email chains.
With these updates, Carbon Trail makes it easier to handle uncertainty, test assumptions, and collaborate on data collection—all critical steps toward accurate and actionable LCAs.
At Carbon Trail, we spend a lot of time talking to sustainability teams, product managers, and compliance officers. And recently, we've been hearing some recurring themes: “I’m not sure
We’re excited to share what we launched in June to help climate-conscious brands make more informed decisions, stay ahead of compliance requirements, and organize their carbon accounting data better
We’ve been hard at work at Carbon Trail, and in May, we released some powerful features to make life easier for fashion brands measuring their environmental impact, especially those