DPPs in manufacturing are standardized digital records that capture detailed product data—including materials, components, production processes, and lifecycle information—to enhance transparency, traceability, compliance, and circularity across the manufacturing value chain.

DPPs help manufacturers meet EU regulatory requirements, streamline supply chain management, improve product quality, enable circular economy business models, enhance repairability and reuse, reduce waste, and provide competitive advantages through verified transparency.​

Essential manufacturing data includes material composition, supplier information, production date and location, process details, quality control certificates, environmental footprint, maintenance and repair history, and end-of-life disposal or recycling instructions.

DPPs provide end-to-end traceability of components and materials from raw materials to finished products, enabling manufacturers and downstream partners to verify sustainability claims, ensure regulatory compliance, and reduce risks of counterfeit or non-compliant parts.​

Digital twins create dynamic, real-time virtual models of manufacturing products and assets, continuously updating DPPs with usage data, operational conditions, and maintenance records, thus enhancing accuracy, enabling predictive maintenance, and optimizing lifecycle management.

Manufacturers must comply with EU regulations such as ESPR, which mandate specific data points in DPPs for sectors like electronics, batteries, textiles, and construction, and require maintaining accurate, updated digital records for market access and audits.

Our DPPs integrate with most ERP, PLM, PIM, and quality management systems and connect to IoT and sensor networks that feed real-time data into digital twins, automating data collection and ensuring consistent, structured information across the product lifecycle.

UNDO software provides a comprehensive platform tailored for manufacturing, enabling seamless DPP creation compliant with EU standards, integrating digital twins for real-time lifecycle data, offering supply chain transparency tools, and supporting circular business models from design to end-of-life.