Proof
/ Consumer, CPG & RetailAI Agents for Hazardous Materials Classification at a Major E-Commerce Marketplace
QR/OS™ Layers
QR/OS™ Blocks
Related
→ Capability pageBusiness situation
A $37 billion e-commerce company with 300 million active listings facing compliance risk from manual, inconsistent hazardous materials classification.
The challenge
Manual and inconsistent hazardous materials classification was creating compliance risk, slowing product approvals, and creating scaling problems across 300 million listings.
Why it matters
Quantum Rise developed a three-stage AI agent system: real-time data ingestion crawler, LLM/RAG/context engineering-based classification agents, and a workflow integration producing a real-time classification dashboard.
What Quantum Rise delivered
The QR/OS™ approach in practice
- • Real-time product description crawler • AI classification agent (LLM + RAG + context engineering) • Real-time Hazmat Products Classification Report dashboard • Classification justifications per product • Fully automated classification workflow
Measurable outcome
95% accuracy for the AI agent.
Efficiency gains by reducing manual intervention and accelerating process output.
What became repeatable
A reusable agentic classification system: crawl → LLM/RAG classify → audit trail dashboard. Applicable to any large-scale product compliance workflow.