From Entities to Items: The Next Era of Supply Chain Traceability and Product Compliance

AI infrastructure investment is projected to exceed $10 trillion over the next decade. The hardware that powers it — semiconductors, rare earth components, finished devices — passes through supply chains of extraordinary complexity: dozens of handoffs, hundreds of sub-suppliers, materials originating in regions under active regulatory scrutiny. The U.S. Uyghur Forced Labor Prevention Act, the EU Deforestation Regulation, and the EU Corporate Sustainability Due Diligence Directive all share a common demand: verified provenance, not inferred mapping. This session explores the transition from gap-prone, probabilistic networks to transparency through primary data.

What Was Covered

• Precision Risk Targeting How to use integrated corporate ownership and trade data to identify the specific branches of a supply chain that present the highest regulatory and ethical risk — without manual outreach at scale.
• Data Triangulation Strategies for layering external intelligence (corporate ownership, sanctions, trade flows) over internal product data to gain visibility into the “invisible middle tiers” of the supply chain that supplier surveys can’t reach.
• Solving Supplier Fatigue The operational case for replacing manual questionnaire cycles with structured, standardized data flows — so supplier submissions satisfy multiple downstream requirements simultaneously and response rates actually hold.
• The TAT Traceability Standard An inside look at the Tech Against Trafficking framework — what it requires, why the world’s largest technology companies developed it collaboratively, and what it means for compliance programs operating under current regulatory requirements.
• Live Demonstration How Sayari Guide and Source Intelligence work together in a unified workflow — from entity screening and ownership mapping to full material declaration review and compliance verification.

The Compliance Gap

What UFLPA, EUDR, and CSDDD share is a common demand for verified provenance, not inferred mapping. UFLPA creates a rebuttable presumption of forced labor for goods with inputs from certain regions — placing the burden of proof on importers, not enforcement agencies. A probabilistic supply chain map doesn’t meet that standard. Neither does a self-reported questionnaire. To rebut a UFLPA hold, you need primary-data evidence: documented material origins traceable to the source, supplier identity verified through external intelligence, and due diligence conducted across the full supply chain.

Who Should Watch

This session is built for senior compliance practitioners at companies that source, manufacture, or sell physical products, particularly in technology, electronics, and industrial sectors: Chief Compliance Officers, Supply Chain Risk Managers, procurement leads, sustainability professionals, and legal teams responsible for UFLPA, EUDR, or CSDDD compliance.