What the CSRD specifically requires from industrial and logistics companies
The Corporate Sustainability Reporting Directive (CSRD) requires companies to report their social and environmental impacts according to the European Sustainability Reporting Standards (ESRS). For mid-sized industrial and logistics companies, this means in practice: you must demonstrate how much energy each production step consumes, what direct emissions (scope 1) and indirect emissions (scope 2) your operations generate, and how many kilometres are driven to transport raw materials and products. These are no longer annual estimates. They are structured, traceable data points that you must be able to substantiate at any time. The reporting obligation is being phased in: large listed companies were first, and mid-sized non-listed companies follow according to the European implementation timeline. Check with the relevant regulator whether your company falls in scope and when, as the thresholds for revenue, balance sheet total, and number of employees determine your entry point.
What operational data falls under the CSRD reporting obligation?
The ESRS standards specify which categories must be reported. For a typical industrial or logistics company, this includes at a minimum: direct greenhouse gas emissions per activity (scope 1), energy consumption per production step or location, water consumption where relevant, waste streams by category, and transport kilometres with corresponding vehicle categories. In addition, large buyers and contracting authorities are increasingly expecting that SME suppliers also provide VSME-compliant reports, because those larger parties must account for their own scope 3 emissions. This means the pressure comes not only from regulators but also through the supply chain. Any supplier that wants to keep participating in tenders or working with large industrial clients will need to have this data available in a structured format regardless.
Why spreadsheets and standalone systems do not solve this
Most mid-sized companies have their energy consumption somewhere in an Excel file, transport kilometres in a TMS or even in a mailbox, and production step data spread across a MES, an ERP, and a handful of logbooks. That works for internal visibility, but not for CSRD reporting. The ESRS requires data to be traceable: you must be able to account for the measurement, the source, and the calculation method. A single consolidated figure in a cell with no audit trail is not sufficient. The reports also need to be reviewed by an external auditor. If the data comes from five sources and has been merged manually, the audit trail is by definition weak. The risk is not only a rejection by the auditor, but also that internal staff spend dozens of hours each quarter gathering data that already exists in the systems, just not in the right place and not in the right format.
How custom software or an AI layer automates data collection for CSRD
The core of the problem is not that the data does not exist, but that it does not flow through in a structured way. A production machine records energy consumption, but that measurement does not automatically reach the system where the CSRD report is being built. A transport order contains kilometres, but those are not linked to an emission category and fuel type. The solution is a structured data layer that connects existing systems, such as ERP, MES, TMS, and energy management systems, and automatically aggregates and labels the relevant measurement points. For companies that want to rebuild their core system with these reporting requirements built in, a fully AI-native core system is the most future-proof route. For companies that want to retain their existing systems, an AI layer on top is the pragmatic choice: AI Workers that read documents, retrieve measurement data from sources, and forward it in a structured way to the reporting system. Both routes have the same objective: ensuring that data which is already generated within the organisation automatically ends up in the right place, without manual copying.
What you need to set up now to be CSRD-compliant in time
Do not wait until you fall in scope to start setting up your data flow. First: map out which operational data you already capture and where it comes from. Energy meters, ERP lines, transport orders, and waste records are your sources. Second: determine for each data source whether the measurement is structured and traceable, or whether it is a manual estimate that an auditor will not accept. Third: set up a central register where each data point is assigned a source, a timestamp, and a calculation method. This does not have to be a large new platform, but it does need to be systematic. Fourth: test the data internally by placing it within the ESRS framework, so you know which gaps remain before the external audit begins. Companies that address this now are simultaneously building something with commercial value: buyers and contracting authorities will increasingly request this data, and those who already have it structured will have a competitive advantage.