Packaging compliance has changed; supply chain leaders must too

For supply chain and operations leaders, packaging and plastics compliance now reflects a broader reality. Businesses are increasingly responsible for the full lifecycle impact of every packaging design they bring to market. What was once treated as a narrow regulatory reporting task is now intertwined with how companies design, package, produce, and sell their products. Reporting is also closely linked to how business leaders manage costs, risks, and sustainability across the supply chain.

Extended producer responsibility (EPR) schemes, plastic packaging taxes, and regulations such as the EU Packaging and Packaging Waste Regulation (PPWR) continue to expand and change across regions. For organizations operating across multiple markets, this creates growing compliance obligations alongside rising financial exposure. Without clear visibility into material flows, fees, and regulatory risk, compliance costs increase, resources are strained, and small data gaps can lead to fines, overpayments, or reputational risk, especially for organizations scaling packaging globally.

When compliance remains reactive and disconnected from core operations, it becomes a business liability rather than a manageable capability.

AI and ERP integration changes what’s possible

The core challenge with traditional packaging compliance approaches isn’t regulatory knowledge; it’s the lack of integration between compliance requirements and how the business actually operates. Packaging regulations apply to specific material types, weights, recycled content levels, and market placements, many of which are critical to accurately tracking sustainable materials. Managing this at scale requires more than spreadsheets or static reporting templates. It requires accurate, continuously updated alignment between regulatory rules, and packaging and ERP data.

Today, packaging information is fragmented across suppliers, formats, and systems, which makes PPWR readiness slow and manual. Delayed or inaccurate compliance increases regulatory risk, disrupts product launches, and exposes organizations to penalties and market access constraints.

This is where AI can substantially change outcomes. SAP Responsible Design and Production uses an ERP-centric approach, gathering packaging-related data directly from core systems, identifying data gaps using AI. Instead of treating compliance as a downstream reporting task, AI continuously supports requesting and tracking supplier data, and provides suggestions for filling any gaps with available data. This provides a stronger foundation for sustainable packaging compliance and reporting.

For supply chain and operations leaders, the shift in mindset is practical and measurable, because properly configured, validated, and governed AI can enable:

• Faster, simpler compliance through AI-driven data harmonization.
• Lower regulatory and financial risk through accurate, timely calculations.
• Better cost control by understanding how packaging choices drive fees.
• Smarter, sustainable production decisions grounded in operational reality.

Rather than adding another system to manage, AI simplifies the existing landscape by making ERP data fit for regulatory and sustainability use.

Reality check: What supply chain and operations leaders manage today

Today’s supply chain and operations leaders face greater responsibility for their packaging, particularly as expectations for sustainable products rise. Regulators and consumers increasingly expect accountability not only for what is sold, but also for how organizations design, package, distribute, and dispose of products.

In practice, this responsibility is difficult to accomplish. Manufacturers and brand owners with decentralized packaging data typically experience fragmented ownership across engineering, procurement, sustainability, operations, and finance. Bills of materials (BOMs) may define packaging components, but material attributes such as weight, recycled content, or recyclability—key indicators for sustainable materials—are often incomplete or inconsistently maintained. Transaction volumes reside in ERP, while regulatory interpretation is tracked separately.

Consider a global consumer goods manufacturer operating in more than 40 markets. Packaging specifications vary by region, suppliers differ by material availability, and EPR fee structures change by country. When reporting deadlines approach, teams scramble to reconcile packaging data, sales volumes, and regulatory rules; they often rely on estimates rather than actual material flows, which reduces confidence in reported figures and fee calculations.

Or consider a multinational chemical producer facing complex EPR schemes across the EU and Asia. The same product packaging may be classified differently across jurisdictions, subject to different recycling criteria and fee modulators. Without a harmonized view of packaging data tied to ERP transactions, compliance becomes slow, costly, error‑prone, and difficult to adapt as regulations evolve.

These situations create common pain points:

• Manual data reconciliation across systems and teams
• Limited confidence in fee calculations and forecasts
• Late discovery of compliance gaps that increase audit and penalty exposure
• Sustainability improvements pursued too late to influence cost or design

For operations leaders, compliance work often arrives as a disruption. For supply chain leaders, it limits the ability to balance cost, resilience, and sustainability with confidence.

Let’s look at three ways business leaders can use the Packaging Compliance Agent in SAP Responsible Design and Production to simplify compliance and reporting for PPWR with AI.

1. Take an ERP‑centric approach to harmonized packaging data

Manufacturers with complex ERP landscapes often struggle to use their existing data for packaging compliance. Packaging information may be in BOMs or material masters, but it is rarely structured to align with packaging EPR or plastic tax requirements across regions.

SAP Responsible Design and Production addresses this challenge with the Packaging Compliance Agent to help organizations prepare for PPWR. AI interprets packaging regulations, structures required data, identifies gaps, and supports conformity checks—across products, plants, and markets.

This unified access to packaging, transactional, and sustainability data improves transparency and allows leaders to clearly understand how packaging choices affect regulatory costs and environmental performance.

Use case: Eliminate speed‑versus‑accuracy trade‑offs with AI‑enhanced packaging insights

A multinational operations team balancing cost pressure and sustainability targets faces tension between speed and accuracy when preparing PPWR compliance. With AI‑enabled, ERP‑centric harmonization of available packaging data, teams no longer trade off speed for accuracy. Instead, they accelerate PPWR readiness by structuring and validating required packaging data early. This results in a 50% reduction in manual compliance and a reduction in packaging compliance assessment errors.*

* Based on SAP expert estimations.

2. Automate compliance to reduce risk and disruption

Keeping pace with evolving EPR schemes, plastic taxes, and PPWR requirements—each varying by region—is one of the most resource‑intensive aspects of packaging compliance. Regulatory updates must be interpreted, mapped to materials, and reflected in reporting logic, often across dozens of markets.

For supply chain leaders, improved accuracy, predictability, and confidence in reported compliance positions reduces regulatory and financial uncertainty. For operations leaders, it prevents compliance from triggering last‑minute data requests or rework that disrupts production, procurement, or financial close. Compliance becomes a managed capability rather than an ongoing interruption.

Use case: Replace compliance guesswork with AI‑supported PPWR readiness

A producer operating under multiple EPR schemes and plastic taxes across Europe and Asia struggles to prepare for PPWR because packaging information is fragmented across suppliers, formats, and internal systems. Using AI to prepare for PPWR‑specific compliance and reporting, the organization can consolidate packaging and ERP data, replace guesswork with more reliable inputs, and improve confidence in PPWR classifications. Finance and operations leaders reduce regulatory risk, avoid launch delays, and limit exposure to penalties or market access constraints without disrupting production or close cycles.

3. Optimize for circular design by making sustainable choices

Once organizations stabilize compliance, they can begin to realize the strategic value of packaging data. SAP Responsible Design and Production helps leaders evaluate how packaging design decisions affect sustainability outcomes, regulatory fees, and cost structures at the same time. Rather than treating sustainability as a parallel initiative, teams can clearly see trade-offs early on to support more informed decisions about sustainable packaging strategies. For example:

• Increasing recycled content to meet PPWR regulations and reduce future EPR fees
• Switching materials to improve recyclability across multiple markets
• Reducing packaging weight to lower plastic tax exposure
• These scenarios are grounded in ERP data and current regulatory logic, making the insights actionable and allowing teams to clearly see how material choices influence compliance costs and environmental performance before decisions are finalized.

Leading consumer products companies are shifting toward this type of integrated evaluation—not because regulations demand it, but because it drives better decision-making. Sustainable product design becomes a practical lever for cost control and risk reduction. This is especially effective when aligned with sustainable material strategies, not just environmental commitments.

Use case: Apply AI early to accelerate circular packaging design and reduce cost

An innovation team redesigning secondary packaging for international markets wants to reduce waste but fears unintended cost and compliance impacts. By using AI to model packaging alternatives early, leaders can see how design choices influence regulatory exposure, fees, and recyclability across regions. This approach enables earlier, lower‑cost intervention and demonstrates how to use AI for sustainable design principles across broader packaging ecosystems. Now, circular design is a practical business lever rather than a late‑stage correction.

What leaders can do differently now with the Packaging Compliance Agent

AI in SAP Responsible Design and Production matters because it changes outcomes—not by introducing new complexity, but by improving accuracy, adaptability, and visibility across compliance, cost, and sustainability decisions. With AI‑enabled, ERP‑centric packaging compliance in place, supply chain and operations leaders can act earlier, decide faster, and manage sustainability and compliance as integrated business considerations.

In practice, organizations are reducing packaging compliance assessment errors by up to 95%—from 10% to 0.5%—and cutting manual compliance review time by as much as 50%—from 7 hours to 3 hours).*

* Based on SAP expert estimations

Compliance no longer has to slow the business down or compete with operational priorities. It becomes a source of insight that supports resilience, scalability, and long‑term competitiveness in a regulatory environment that will only continue to intensify.

This is why organizations are re-evaluating how they manage packaging compliance—and why SAP Responsible Design and Production goes beyond a compliance tool to become a strategic capability.

Please note that the Packaging Compliance Agent will be generally available in Q4 2026.