How EU regulations are reshaping retail technology platforms

Across Europe, new EU regulations affecting retail and e-commerce are reshaping how digital commerce platforms operate. Laws such as the Digital Services Act (DSA), Digital Markets Act (DMA), the EU AI Act, and the Packaging and Packaging Waste Regulation (PPWR) introduce new expectations around platform accountability, AI governance, and environmental responsibility.

While these initiatives address different challenges, they share an important implication for the industry: regulatory compliance is becoming closely tied to technology systems.

These changes affect three critical layers of modern retail technology infrastructure:

• digital marketplaces and online platforms (seller onboarding, listings, moderation workflows)
• AI-driven decision systems (governance, transparency, risk classification)
• product and packaging data management (recyclability, reporting, supply chain data exchange)

As a result, retailers must increasingly consider regulation when designing digital platforms, data flows, and operational processes.

How the Digital Services Act and Digital Markets Act affect retail platforms

The Digital Services Act (DSA) and Digital Markets Act (DMA) represent the most significant overhaul of digital platform regulation in Europe in more than two decades.

The DSA focuses on online safety and accountability for online intermediary services used by citizens and businesses – particularly services such as online marketplaces, app stores, and travel and accommodation platforms. The DMA focuses on competition in digital markets by regulating the largest online platforms, known as “gatekeepers”.

For the retail ecosystem, these regulations introduce new expectations for how digital marketplaces operate.

Marketplaces are expected to strengthen seller verification, improve the detection and removal of illegal or counterfeit products, and provide greater transparency into how rankings, recommendations, and advertising systems work.

Delivering these requirements depends on new technical capabilities. Platforms need automated systems for identity verification, product traceability, content moderation, and regulatory reporting, supported by integration across marketplace platforms, product information systems, and compliance tools.

For retailers that rely on large marketplaces, the DMA also changes the competitive landscape. Gatekeepers are restricted from favouring their own products and must provide access to data generated by business users.

This creates a more balanced environment. Retailers gain better access to performance and customer data, while advertisers benefit from improved tools to verify campaign effectiveness. Gatekeepers must also allow businesses to promote offers and engage with customers outside their platforms, increasing flexibility in how retailers manage customer relationships.

Very Large Online Platforms (VLOPs) with more than 45 million monthly users in the EU face additional obligations, including systemic risk assessments and independent audits.

The EU AI Act and responsible use of AI in retail

Artificial intelligence is now embedded across many retail processes.

AI systems already power product recommendations, personalised marketing, fraud detection, demand forecasting, and automated customer service. They are also increasingly used in internal processes such as workforce management and recruitment.

The EU AI Act introduces a comprehensive framework governing how these systems are developed and deployed within the European market.

The regulation classifies AI applications according to risk level, ranging from minimal risk to prohibited use cases. Some retail applications fall into limited-risk categories, while others, particularly those related to recruitment, employee monitoring, or credit evaluation, may be considered high-risk.

From 2026, the EU AI Act requires organisations deploying AI systems that interact directly with users to clearly inform individuals they are interacting with AI (with limited exceptions). Higher-risk systems also require documentation covering datasets, testing procedures, and risk management practices.

The regulation also introduces organisational requirements. Companies must establish governance processes for AI systems and provide AI literacy training for employees involved in developing or using them.

For retailers, this means moving from ad-hoc AI usage to structured, governed AI systems with clear oversight and accountability.

Packaging regulation and digital product data

Environmental regulation is also beginning to influence retail technology.

The Packaging and Packaging Waste Regulation (PPWR) introduces stricter requirements around recyclability, packaging reduction, and reporting obligations for companies placing goods on the EU market.

The regulation aims to ensure that all packaging placed on the EU market becomes recyclable by 2030, while overall packaging waste must decrease significantly by 2040.

For retailers, this primarily affects how packaging is designed, labelled, and reported across the supply chain. New requirements include clearer recycling information, restrictions on certain packaging formats, and more structured reporting obligations under Extended Producer Responsibility schemes.

At the same time, broader EU initiatives are accelerating the digitisation of sustainability data. In particular, the Digital Product Passports (DPPs) are being introduced under the Ecodesign for Sustainable Products Regulation (ESPR) to standardise how sustainability information is captured and shared across product categories.

While not specific to packaging alone, these developments are closely related. Packaging will increasingly rely on digital data carriers such as QR codes to provide information on materials, recyclability, and environmental impact, supporting both regulatory compliance and consumer transparency.

This marks a shift from static product information to continuously managed, regulation-driven product data.

For retailers, this creates new operational requirements around product and packaging data management. Information about materials, recycled content, and supply chain partners must be captured, maintained, and shared across systems.

Retailers must also support Extended Producer Responsibility reporting and integration with European regulatory databases.

As a result, sustainability compliance increasingly depends on accurate product data and strong supply chain visibility.

Regulation as a new driver of retail technology decisions

Taken individually, these EU retail regulations address different areas of the industry: digital marketplaces, artificial intelligence, and sustainability.

Together, however, they highlight a broader shift.

Technology systems in retail must now support not only operational efficiency and customer experience, but also regulatory accountability.

Marketplaces must monitor seller activity and product listings. AI systems require governance processes and documentation. Packaging regulation introduces new requirements for product data and supply chain reporting.

These changes mean that regulatory readiness increasingly depends on how digital platforms and data systems are designed.

Retailers that approach compliance only as a legal task may struggle to adapt existing systems to new requirements.

Those that incorporate regulatory considerations into their technology strategy are more likely to respond effectively as the regulatory landscape continues to evolve.

The next phase of retail transformation

Digital transformation in retail has evolved through several stages.

Early initiatives focused on digitising the customer journey through e-commerce and omnichannel platforms. More recently, retailers have invested heavily in automation and data-driven decision-making.

The next phase will focus on building digital platforms that support responsible and accountable operations.

Retailers operating across Europe will increasingly need systems capable of supporting transparent marketplace processes, governed AI systems, and reliable product data across supply chains.

In practice, regulatory readiness is becoming closely linked to the design of digital platforms and data infrastructure.

Retail organisations that invest in scalable architectures, well-structured data systems, and strong integration capabilities will find it easier to adapt as new regulations emerge.

Achieving this level of readiness often requires close collaboration between retail organisations, internal technology teams, and experienced digital engineering partners capable of designing scalable, regulation-ready platforms.

What this means for retail technology teams

For many retailers, meeting these regulatory requirements will require changes to core technology systems, including Product Information Management (PIM), marketplace platforms, data governance frameworks, and AI lifecycle management tools.

Regulatory compliance is no longer isolated from technology decisions. It is becoming closely intertwined with how digital platforms are designed, integrated, and maintained.

In practice, retailers will increasingly need capabilities such as:

• product traceability systems
• AI governance and monitoring tools
• marketplace compliance automation
• product data and sustainability reporting infrastructure

These capabilities are not standalone solutions. They depend on well-integrated systems, consistent data models, and scalable platform architecture.

Key takeaways for retailers

• EU retail regulations are increasingly shaping technology strategy, not only legal compliance.
• The Digital Services Act and Digital Markets Act introduce new requirements for marketplace transparency and seller accountability.
• The EU AI Act establishes governance obligations for AI systems used in retail operations.
• The Packaging and Packaging Waste Regulation introduces stricter requirements for packaging design, labelling, and reporting, while the Digital Product Passport (under the Ecodesign for Sustainable Products Regulation – ESPR) is expected to complement these efforts by standardising sustainability data across product categories.
• Retailers that align regulatory requirements with technology architecture and data management will be better prepared for future changes.