Yourchemicalplantdatanowdrivesfinancialdecisions,notjustreports.

Chemicals and petrochemicals are energy and emissions intensive, and they sit at the start of most value chains, which puts them in the focus of several frameworks at once. Many sites are regulated EU ETS installations with a direct price on Scope 1 emissions. CBAM is extending carbon costs to imported feedstocks such as ammonia and hydrogen. CSRD requires double materiality disclosure under ESRS, and EU Taxonomy classifies each activity. On top of regulation, downstream customers in automotive, packaging and construction now ask for product carbon footprints before they buy. For this sector, ESG has moved from communications to operations and finance.

Dcycle connects to the systems chemical companies already run: ERP and MES, DCS and SCADA historians, energy and steam meters, and laboratory or LIMS data, plus structured file upload and a supplier portal for feedstock data. Each data point is assigned to the right site, legal entity and scope, and flagged when it is missing or inconsistent. Electricity, gas and steam invoices are read automatically, including the total amount and currency. The result is one versioned, auditable dataset your team manages by exception, instead of rebuilding spreadsheets before every deadline.

Yes, and for most chemical producers Scope 3 is the largest category. The supplier portal sends structured data requests to feedstock and raw material suppliers, provides guided templates, and validates responses against recognised emission factor databases. You can apply supplier-specific factors where you have primary data and fall back to robust averages where you do not. This turns Scope 3 from an estimate into a measured, auditable number, and gives you the basis for product carbon footprints and supplier engagement decisions.

The same dataset that powers your reports also feeds decisions. Dcycle helps you model abatement cost per tonne, quantify EU ETS allowance exposure, estimate the CBAM cost on imported feedstocks, and compare reduction scenarios by payback period. Instead of a static footprint, your finance and operations teams get the numbers they need for capex approvals, procurement choices and product pricing. That is the difference between reporting on the past and steering the business.

Leia is Dcycle's built-in AI, and it works directly on your data structure rather than as a generic chatbot. You can describe a decarbonisation plan or a reporting flow and Leia handles the steps, or ask for a custom chart or a report in a format we do not ship and it builds it from your existing data. It surfaces gaps and patterns across sites so your team can focus on the exceptions that matter. Because it operates on your real data, the output is grounded in your operations rather than generic text.

Yes. Dcycle runs product-level Life Cycle Assessments aligned with ISO 14040 and ISO 14044, from cradle to gate, covering feedstocks, processes, energy and waste. This is increasingly required for Environmental Product Declarations, for answering customer sustainability questionnaires, and for substantiating environmental claims under the EU Green Claims Directive. The same primary data you collect for your corporate footprint feeds each product assessment, so you avoid duplicate work.