The Digital Product Passport: Challenges for SMEs and the Role of AI-Powered Compliance Solutions

The introduction of the Digital Product Passport (DPP) is changing the requirements for the collection, management, and long-term availability of product information within the European Union. Companies increasingly need to address structured data, interoperable formats, and traceability throughout their supply chains. Small and medium-sized enterprises (SMEs), in particular, face the challenge of meeting regulatory requirements without having to initiate extensive IT projects. This article examines key criteria for evaluating software solutions designed to support the implementation of Digital Product Passports. Particular attention is given to the automated processing of existing product documentation, supplier data integration, technical interoperability, and the long-term availability of digital product information. Using DPP-Flash as an example, the article explores how an AI-powered approach focused on simplifying workflows may address these challenges. The analysis also highlights why the practical suitability of a software solution cannot be assessed solely by its range of features. Data quality, the actual implementation of applicable regulatory requirements, and operational reliability are equally important. The findings suggest that accessible, AI-assisted solutions may offer a promising approach for companies seeking to establish DPP processes without unnecessarily increasing administrative complexity. 1. Introduction Regulatory changes often become a concrete operational concern for companies only when they begin to affect established processes. With the Digital Product Passport, however, it is already becoming apparent that the issue goes beyond adding another information page or placing a QR code on product packaging. It represents a broader change in how product-related information is collected, organized, and made accessible. Through Regulation (EU) 2024/1781, commonly known as the Ecodesign for Sustainable Products Regulation (ESPR), the European Union has established a framework that provides for the gradual introduction of Digital Product Passports for specified product groups. The exact information requirements and implementation dates depend on the relevant product-specific legislation. For certain batteries, the EU Battery Regulation already provides for a battery passport requirement from 18 February 2027. This creates a challenge that may initially appear technical but actually affects several business functions. Product management, procurement, quality management, IT, and compliance must work with information that has not necessarily been organized consistently. For companies managing large product portfolios and numerous suppliers, the resulting effort can be substantial. The key question is therefore not simply how a Digital Product Passport can be generated technically. It is how the entire process, from data collection to subsequent updates, can be organized in a reliable and economically viable manner. 2. The Real Challenge Lies in the Data In many companies, the information required for a Digital Product Passport already exists. The problem is that it is often distributed across different systems and formats. Technical data sheets may be stored as PDFs, material information may be maintained in spreadsheets, certificates may be managed separately, and certain details may need to be requested directly from suppliers. In some cases, multiple document versions exist without a clear indication of which one is current. This situation illustrates why implementing a Digital Product Passport cannot be reduced to creating a digital document. First, the relevant information must be identified and consolidated. It must then be checked for completeness, accuracy, currency, and correct product assignment. Depending on the product category, additional requirements may apply to data formats, identification, access rights, and registration. A system that merely makes existing documents available online therefore addresses only part of the problem. The same applies to an automated solution that extracts information quickly but does not provide sufficient opportunities to verify its accuracy. In my view, the central challenge is to stop treating the Digital Product Passport as an isolated output and instead understand it as the result of a continuous data management process. Only when this process can be integrated into existing business operations in a practical way does it create lasting value for a company. 3. Key Criteria for Selecting DPP Software Selecting a suitable software solution should not depend solely on the number of available features. Several criteria are particularly important for small and medium-sized enterprises. 3.1 Processing Existing Product Documentation A practical starting point is to reuse information that companies already possess rather than manually entering all data again. Software should therefore be capable of processing different document types and showing which information was extracted from which source. AI-powered data extraction can provide a practical advantage in this context. It can reduce manual effort and make large volumes of unstructured information easier to process. However, it cannot replace professional review. For regulatory information in particular, users need to understand which data was extracted automatically and which details still require confirmation or supplementation. 3.2 Interoperability and Standardized Data Formats A Digital Product Passport should not be understood as a closed collection of information within a single software platform. Where required by the applicable legislation, information must be structured, machine-readable, and exchangeable through appropriate interfaces. Open standards, unique product identifiers, and compatibility with relevant technical specifications are therefore important selection criteria. Depending on the application, technologies such as JSON-LD and GS1 Digital Link may be relevant. Whether a particular implementation meets the applicable requirements must nevertheless be assessed against the relevant specifications. 3.3 Supplier Integration A significant proportion of product-related information originates outside the company itself. Details about materials, components, or specific product characteristics may therefore need to be collected throughout the supply chain. Suitable DPP software should support this process. Relevant capabilities include structured information requests, traceable assignment of incoming data, and systematic identification of missing information. Without such functionality, companies risk digitizing only the information already available to them while leaving important data gaps unresolved. 3.4 Long-Term Availability and Data Maintenance Product information loses much of its value if it becomes inaccessible or can no longer be clearly associated with the relevant product. Companies should therefore consider hosting arrangements, data backup, change management, and the agreed duration of information availability when evaluating providers. The required retention and availability periods must reflect the applicable legal requirements. It would be misleading, however, to suggest that every Digital Product Passport must always be stored for the same period, regardless of product category or regulatory context. 3.5 Usability and Economic Feasibility Finally, software should not only be technically capable but also practical to use in everyday operations. Smaller companies often lack dedicated teams for complex IT integrations or regulatory data projects. A clear workflow, transparent pricing, and a manageable implementation process can therefore be just as important as the overall feature set. A solution that requires disproportionate internal resources to implement may ultimately fail to deliver its intended value. 4. DPP-Flash as an Example of an AI-Powered Approach Against this background, DPP-Flash represents an interesting example of software designed to simplify the introduction of Digital Product Passports. The platform is aimed particularly at companies seeking to use existing product data while reducing the effort involved in creating structured product passports. According to the publicly available product information, existing documents, including technical data sheets and other product-related materials, can be incorporated into the process. The software uses artificial intelligence to extract relevant information. The resulting data can then be reviewed and confirmed. Additional capabilities described by the provider include the generation of product passport QR codes and tools for making product information available and managing it. This approach addresses a genuine problem faced by many companies. When relevant information already exists across multiple documents, it makes economic sense to reuse those sources rather than begin with a complete manual re-entry of all available data. The interesting aspect is not AI alone, but how it is integrated into a workflow designed to minimize unnecessary steps. In everyday business operations, technology creates lasting value only when it genuinely simplifies the process while maintaining sufficient opportunities for verification and control. DPP-Flash also describes functionality for processing structured data and incorporating supplier information. The platform therefore aims to address more than the creation of an individual product passport. It also targets upstream activities involved in collecting and consolidating the necessary information. From this perspective, DPP-Flash appears particularly relevant to companies seeking a practical solution without immediately committing to a large-scale digital transformation project. Its approach is designed to make existing information more useful while reducing the technical complexity experienced by users. This does n