How CADIS cadisCARBON turns real vehicle and trip data into certified, audit-ready CO₂ emissions reports — ISO 14083, GLEC and ESRS E1 compliant, with zero manual spreadsheets.
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Automate CSRD Compliance, Not Just Track It
cadisCARBON is CADIS's purpose-built CSRD transport compliance software for logistics operations. It fully automates certified CO₂ emissions calculation using your real vehicle and trip data — no spreadsheets, no manual data prep, no generic emission factors.
This session is built around the cadisCARBON module inside the CADIS Transport Management System (TMS), already used by logistics operators to move from reactive spreadsheet reporting to certified, audit-ready CSRD compliance.
CSRD deadlines are real, and the pressure to produce credible emissions numbers is growing — but most teams are still assembling data manually.
cadisCARBON runs on the operational data already flowing through CADIS — no separate system, no duplicated entry.
cadisCARBON is plug-and-play inside CADIS — no IT development required.
This session is for sustainability managers, finance and compliance teams, and logistics operations leaders who need to deliver credible, audit-ready CSRD transport emissions data without adding a carbon-accounting specialist to the team.
All cadisCARBON emissions calculations are powered by EcoTransIT World's certified engine — the industry-recognized standard for logistics emissions calculation across Europe and internationally, ensuring regulatory acceptance and credibility.
Does cadisCARBON require IT development to activate?
No. cadisCARBON is fully plug-and-play within the CADIS platform. All trip and vehicle data is processed automatically — there is no IT development, manual data preparation, or complex configuration required.
How accurate are the emissions calculations?
cadisCARBON uses real operational logistics data — actual distances driven, vehicle types, fuel consumption, routes, and load factors from the CADIS platform — rather than theoretical averages, producing highly accurate, auditable figures.