Climatiq

Struggling to get accurate freight emissions estimates? In our latest blog, we cover: - The main variables that affect the accuracy of freight estimates - The importance of emission factors for accurate estimates - How to tailor your calculations to the use case for best accuracy whilst working within your limitations. Check out our blog post for more info: https://lnkd.in/eRVtvpNs

We're super happy to announce our new partnership with Mitigate ESG Platform 🎉 This partnership will bring our database of 90,000+ emission factors to Mitigate's GHG Accounting module, offering users comprehensive data covering a wide range of use cases. It's great to have you on board, Mitigate 🙌

We're proud to announce we're now part of the Carbon Accounting Alliance 🌎🌱 The CAA is a UK-born association of 500+ organizations working across the globe on carbon accounting. We're very happy to join many of our existing partners such as CarbonOne, Carbon+Alt+Delete and Xero in the alliance and thereby continue our work in striving for unified, effective, and meaningful carbon accounting. 

Our newest release is here with some very exciting updates:  Excel and Google Sheets plugin improvements, new Private Factors API, Product Carbon Footprint API in limited preview, faster Autopilot and more👇 📈 Excel and Google Sheets plugins: All formulas are updated with the latest API versions, freight accepts new input types, there are new search features, an improved demo sheet, and more. 🔐 Private emission factor API: Users now have the option to upload private factors directly via API rather than through the Climatiq dashboard, enhancing flexibility and control. ⚙️ PCF API limited preview: We're offering exclusive early testing access to users who want to help develop our new PCF API, which will address the complexity of calculating product carbon footprints. 🏃 Faster Autopilot: The latest version of our AI-powered emission factor matching feature comes with a 2x reduction in latency. View the full release notes here: https://lnkd.in/d_Q8ViEJ

How to push for Scope 3 emissions reductions? Integrate carbon insights into decision-making processes. Our partner Kinaxis added carbon metrics to their freight software, allowing users to visualize emissions hotspots and reduce carbon footprint. As an enterprise solutions provider, Kinaxis was experiencing a growing demand for integrated carbon management features. By using Climatiq, it was able to significantly reduce development time of new Scope 3 solutions while integrating scientifically-vetted carbon insights their users can trust. Read the full case study: https://lnkd.in/eseBhV9R A big thank you to John Nafis for sharing Kinaxis' story!

Looking for some guidance for your carbon reporting processes? Good news: the Greenhouse Gas Protocol has 5 guiding principles to follow for carbon accounting. Find out what they are below, or read more in our full blog post where our Head of Carbon Accounting Tim C. gives recommendations on how to implement the GHGP’s guidelines: https://lnkd.in/du4nj7ZP

The reason we’re here: seeing our partners’ Climatiq-powered apps drive meaningful emissions reductions 💚 For example: One of Europe’s largest steel manufacturers used Celonis’ Shipping Emissions Reduction App to analyze over 49,000 outbound truck movements and identified an emissions reduction potential of more than 4.5 million kgCO2e. The Shipping Emissions Reduction App, powered by Climatiq Calculate, uses ERP and other logistics data to provide detailed, real-time insights into freight emissions. Celonis’ Material Emissions App leverages Climatiq’s AI feature, Autopilot, to automatically map purchase data to the correct emission factors and calculate the footprint of all materials used in a given product. With the widespread adoption of AI, carbon tracking capabilities are set to keep improving. As Climatiq CEO Hessam Lavi says: “AI can add more value to carbon management by moving beyond data preparation to fully automating the entire calculation process. Areas such as forecasting and scenario planning, where you can connect a lot of unstructured data and draw insights – this is what really excites me about AI, and I really think we're going to get there very fast.” Measurement is the first step to carbon reduction. Together with Celonis, we’re excited to help more companies identify impactful emissions hotspots. Read more about embedding sustainability and the role of AI in the blog post here: https://lnkd.in/e9BbpmcS Thank you Janina Bauer and the team for this insightful article and your continued push to surface carbon insights across business processes!

Starting the new week with a bang: our partner Siemens SiGREEN has launched their new AI Emissions Estimator, powered by Climatiq Autopilot 🎉 Using the power of Autopilot, this new feature offers automated emission factor matching with access to 30+ databases. SiGREEN’s users can now automatically match components from their records to emission factors, streamlining PCF calculations and allowing for easy comparisons between suppliers. We’re really excited to support Siemens in bringing actionable emissions insights to even more companies. Well done to the team for this step forward in driving meaningful CO2 reduction! 🎉🌱 You can find out more about the new AI Emissions Estimator below ⬇️

Measuring your company’s emissions can be a daunting prospect 🫣 Online carbon calculators are a good starting point for teams without the resources or know-how to measure emissions internally. Here’s a quick roundup of 6 free carbon calculators. For more info, check our blog post linked in the comments. P.S. Any popular carbon calculators we missed?

It can be hard to know where to start with freight emissions calculations. What data do you need? What is the most appropriate methodology? How do you evaluate emission factors? Our latest blog post breaks the process down into three steps: - Collecting the necessary data - Selecting an appropriate methodology - Choosing fitting emission factors You can find out more below, or read our article in the comments for the full breakdown ⬇️