Managing Sustainability Data for Digital Product Passports with Agentic AI – AWS Industry Insights

Published: November 21, 2025
Authors: Jonas Bürkel, Andrea Rossi, Jun Zhang
Tags: Sustainability, Digital Product Passports (DPP), Agentic AI, Amazon Bedrock, Supply Chain, Compliance, Manufacturing, Retail

Introduction to Digital Product Passports (DPPs)

Digital Product Passports (DPPs) represent a transformative technology designed to boost transparency, regulatory compliance, and sustainability in product lifecycles. Under the European Union’s Ecodesign for Sustainable Products Regulation (ESPR), DPPs will mandate standardized, product-level data accessible via scannable QR codes. These passports are already being phased in starting 2027 for batteries, expanding through 2030 to cover textiles, electronics, furniture, and construction materials.

Core Attributes of DPPs Include:

• Identity data: Manufacturer details, serialization, batch tracking
• Material and chemical composition: Hazardous substances, material provenance
• Performance and safety: Certifications, specifications, test results
• Repairability and end-of-life: Disassembly guides, spare parts, recycling instructions
• Carbon footprint: Lifecycle emissions from raw materials to disposal
• Supply chain due diligence: Supplier verification, ethical sourcing documentation

Consumers and regulators can view transparency data, while sensitive commercial information remains permissioned, necessitating strict data governance within the system architecture.

Challenges in Managing Sustainability Data for DPPs

Organizations face five major challenges implementing DPPs:

1. Supply Chain Data Collection & Harmonization:
   Diverse supplier capabilities and varying data formats complicate accurate and reliable data gathering.

2. System Integration & Interoperability:
   Legacy systems and siloed applications resist seamless data consolidation and sharing.

3. Data Validation, Security & Privacy:
   Protecting confidential product data demands robust governance, auditability, and access controls.

4. Regulatory and Compliance Adaptability:
   Evolving legal requirements necessitate flexible workflows and data structures.

5. Operational Scalability & Cost:
   Manual data management is unsustainable at scale, increasing operational risks and costs.

Agentic AI and AWS Solutions Driving DPP Implementation

Amazon Web Services (AWS) customers increasingly leverage Agentic AI to automate and enhance DPP processes. Key contributions of Agentic AI include:

• Accelerated supplier onboarding
• Continuous data normalization and reconciliation
• Automated compliance checks and lifecycle updates
• Governance enforcement through permissioned access and audit trails

A foundational element introduced is the Sustainability Data Fabric (SDF)—a unified data architecture supporting DPP lifecycle management. Combined with Amazon Bedrock AgentCore, organizations are empowered to accelerate production-ready DPP implementations that:

• Harmonize complex multi-tier supplier data
• Facilitate interoperable data sharing adhering to industry standards
• Reduce compliance overhead and enhance supply chain transparency

Business Value: Regulatory Compliance and Beyond

While regulatory adherence remains crucial, DPPs offer broader strategic benefits:

• Cost Efficiency: Oxera research commissioned by Amazon estimates a 15% reduction in compliance costs within consumer electronics, translating into savings of approximately €200 million annually.
• Scalable Transparency: Chemical manufacturers and industrial players use “Digital Material Passports” to manage growing transparency demands seamlessly.
• Competitive Differentiation on Sustainability: Carbon footprint visibility allows companies to compete on environmental impact, appealing directly to conscious consumers.
• Enhanced Analytics and Innovation: DPP data integrated with digital thread initiatives empowers AI-driven insights across product value chains.

Conclusion

Digital Product Passports mark a pivotal step toward sustainable, transparent, and compliant product ecosystems. Overcoming challenges of data complexity and regulatory variability requires intelligent automation. AWS’s integration of Agentic AI and Sustainability Data Fabrics empowers industries to scale DPP capabilities efficiently—benefiting manufacturers, supply chain partners, regulators, and end customers alike. This transformative approach heralds a new era where product sustainability and circularity become embedded in digital innovation.

For further reading and technical resources, visit AWS for Industries blog and explore Amazon Bedrock capabilities.

Design Delight Studio curates high-impact, authoritative insights into sustainable and organic product trends, helping conscious consumers and innovative brands stay ahead in a fast-evolving green economy.