AICA Data targets EU Digital Product Passport data gaps with Atlas

AICA Data says its Atlas classification engine can help manufacturers, distributors and passport platforms clean up product records ahead of EU Digital Product Passport rules. The pitch lands as the EU registry is live and battery passport requirements are due to start in February 2027, with more product categories expected to follow.

Why it matters: - EU Digital Product Passports depend on complete, consistent product data before a passport can be issued. - Many companies hold product information across ERP, PIM and supplier systems, which creates gaps, mismatched descriptions and missing attributes. - AICA Data is positioning Atlas as a preparation layer for manufacturers, distributors and passport platforms trying to get records ready for DPP requirements.

What happened: - AICA Data outlined how Atlas classifies and enriches product data for Digital Product Passport preparation. - The European Commission launched the EU Digital Product Passport Registry on 20 July 2026. - Regulation (EU) 2023/1542 requires passports from 18 February 2027 for electric vehicle batteries, light means of transport batteries and industrial batteries above 2 kilowatt-hours when placed on the EU market or put into service. - AICA Data says Atlas is available through an API, self-service access, white-label deployment and AWS Marketplace. - Details of the free assessment are available at aicadata.com.

The details: - Atlas is designed to address inconsistent classifications and incomplete attributes in product catalogues. - The system works across data held in business systems and supplier feeds. - Atlas classifies and enriches catalogues using UNSPSC, eCl@ss, ETIM, GS1 Global Product Classification and Harmonized System customs codes. - Atlas assigns a reliability score and audit trail to each output. - Low-confidence records are routed to human review. - AICA Data says Atlas reached 95.2% accuracy for first-choice UNSPSC version 26 classifications on a test set of maintenance, repair and operations items excluded from training. - The company also reports at least a 40% increase in attribute completeness. - In a recent project, AICA Data classified more than 325,000 stock keeping units for a global information technology solutions provider. - Atlas integrates with SAP, Oracle, Maximo, Coupa, PIM and master data management systems. - The company offers a free assessment that produces a sample-based report showing data before and after classification, gaps against relevant standards and estimated work required.

Between the lines: - The registry records product identifiers and associated metadata, but detailed product information remains separate. - That means companies still need clean underlying records even after the registry is in place. - A classification mapping can organize records, but it does not by itself satisfy DPP compliance. - Product-specific rules will determine the required information and application dates for future categories such as iron and steel and textiles. - The combination of automated scoring and human review suggests AICA Data is trying to balance scale with auditability.

What's next: - More product groups are expected to be added under the Ecodesign for Sustainable Products Regulation (EU) 2024/1781. - Requirements and launch dates for those categories will be set through product-specific rules. - AICA Data says organisations should start by assessing the condition of existing product records and identifying which data still needs to be gathered from suppliers. - Companies preparing for DPPs are expected to use sample assessments to decide where specialist review is needed before scaling to a full catalogue.

The bottom line: - AICA Data is betting that the hardest part of Digital Product Passports is not the registry, but the quality of the product data that feeds it.