GLYNT.AI PCF Data Preparation

GLYNT PCF Data Preparation helps manufacturers and supply-chain organisations transform fragmented operational data into validated, structured inputs for Product Carbon Footprint calculation and exchange.

PCF accuracy depends on the quality, completeness and traceability of the underlying activity data. However, this data is often spread across invoices, spreadsheets, meter exports, ERP systems and supplier documents, with formats varying by site, supplier, country and reporting period.

GLYNT uses AI-powered extraction, preparation and validation to convert these diverse sources into structured, audit-ready data that can support Catena-X PCF use cases.

The service can process data relating to energy, fuel, water, waste, materials, logistics and other relevant operational activities.

Each source is checked for completeness, consistency, duplication, anomalies and formatting issues. The resulting data is standardised, mapped to the required structure and delivered through API, SFTP, CSV or other agreed formats. GLYNT can support both one-off data preparation and recurring weekly or monthly processing.

Source references and data lineage are preserved, helping customers maintain a clear chain of custody for assurance, audit and internal review.

Typical use cases include preparing manufacturing and logistics data for PCF calculation, standardising supplier submissions, consolidating data across sites and geographies, and validating information before it is shared with customers or partners.

GLYNT does not replace a PCF calculation or exchange solution. It provides the validated operational data layer that helps those systems work more effectively, reducing manual effort, improving data quality and creating a stronger foundation for trusted Product Carbon Footprints.