Because EPR compliance has moved beyond what spreadsheets can reliably support. State requirements shift, suppliers report inconsistently, and eco-modulation adds complexity that manual processes struggle to sustain. We operationalize AI to bring consistency, scalability, and deeper visibility to your packaging value chain.
Packaging data management complexity dramatically increases with EPR, as state-specific definitions, eco-modulation, material classifications, and changing fee structures introduce operational friction and risk.
Packaging data management complexity dramatically increases with EPR, as state-specific definitions, eco-modulation, material classifications, and changing fee structures introduce operational friction and risk.
Missing fields, inconsistent specs, and non-state-ready formats undermine accuracy from the start, especially across suppliers and reporting years.
No way to surface trends, measure impact, or connect packaging to sustainability goals with confidence, limiting informed decision-making.
Different definitions, formats, and structures exist for every jurisdiction, making submissions time-consuming and prone to error, even for experienced teams.
Material choices impact fees, but there's limited ability to test cost or sustainability scenarios before committing, increasing financial uncertainty.
EPR rules evolve constantly; teams need real-time clarity, not hours spent in PDFs, to stay compliant and audit-ready.
We operationalize AI for packaging with expert oversight to fill gaps, interpret extended producer responsibility rules, and accelerate accurate, compliant, and audit-ready decisions.
Every producer approaches packaging and data differently — retailers depend on suppliers, CPGs rely on internal systems, and workflows vary across categories, markets, and teams.
For this reason, Straive has partnered with Marks, and together we develop custom solutions backed by our team of experienced data and packaging experts. We also deploy Sonar, a joint initiative of Straive and Marks, encompassing a basket of accelerators and solutions that can be adapted to your specific needs.
We customize data fields, reporting workflows, material categories, validation rules, fee logic, and user interfaces to match your organization’s unique operating processes. Whether you manage thousands of SKUs, multiple brands, or supplier-driven data collection, we tailor our solutions to your exact needs — without forcing you into a rigid template.
Custom fields | Workflow logic | Material categories | Validation rules | Fee models | Interfaces tailored to teams
Supplier-driven retailers | ERP/PLM-heavy CPGs | Multi-brand portfolios | Complex SKU and market structures
Pre-configured components shaped to your processes | No fixed templates | Full flexibility without long dev cycles
Our human-in-the-loop model operationalizes AI to ensure accurate data, stable reporting logic,
and alignment with evolving materials and state mandates.
Data Scientists
AI model development | Material classification | Anomaly detection | Missing-value prediction | Evolving-rule accuracy
Data Engineers
Supplier + ERP/PLM ingestion | Scalable pipelines | Version control | Clean, auditable datasets
Data Consultants
Gap identification | Workflow design | Packaging + sales data structuring | Compliance-ready transformations
Designers
User-centric UI | Brand-aligned interfaces | Workflow-specific layouts
Packaging Engineers
Spec validation | Component interpretation | Real-world design alignment
Packaging Consultants
Terminology alignment | Supplier coordination | Category-specific data consistency
EPR Specialists
Rule interpretation | Fee logic expertise | Covered-material definitions | Eco-modulation guidance