Calculate activity based
Supply Chain Emissions
Discover emission hotspots and ensure your SBTi & CSRD compliance
Calculate emissions in the upstream supply chain dynamically and automatically
No more inaccurate spend-based calculation approach
AI-supported automation of CO2e calculation, including completion of master data for all purchased goods
Future-proof and detailed overview of the CO2 emissions of all purchased goods (Scope 3.1)
“The AI-based filling of data gaps and the dynamic calculation of emission values for over 100,000 purchased goods make it possible to calculate supply chain emissions.”
David Meier
Senior Risk- and Sustainability Manager Corporate Procurement bei Krones
Precise basis for decision-making
Establishment of an accurate data-based foundation for making informed decisions on emissions reduction (SBTi).
Guarantee a secure future
Future-proof, ISO-compliant emissions results for reporting to external stakeholders and regulations.
Compare and optimize
Direct comparison of the specified primary values of a supplier with scientifically based literature benchmark values.
Perfect preparation
Ideal preparation for calculating the activity-based Product Carbon Footprints (PCF).
Practical insight: Calculating emissions from the upstream supply chain based on data, identifying emission hotspots
Manual recording of emissions data was too time-consuming for Krones with high purchasing volumes – and provided hardly any usable information.
TELUSIO enables an AI-supported, automatic calculation based on activity data: plausible, reliable and scalable – without any additional effort.
Please send the download link to the following e-mail address:
How does
it work?
Extension with primary data
TELUSIO Intelligence can check the quality of primary values and enter them dynamically.
AI-based data completion and emission value assignment
TELUSIO Intelligence processes large amounts of data quickly and efficiently by recognizing data gaps and filling them with the help of artificial intelligence.
In the next step, the algorithm directly assigns corresponding emission values to the identified purchased goods. These calculations extend not only to simple production parts, but also to complex purchased composite components, such as sensors, semiconductors or entire control cabinets.
This gives you a complete list of all purchased materials and the corresponding emission values.
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