# Study Projects AI Supply-Chain Gains

A peer-reviewed study reports that simulations using Agentic AI and digital twins could reduce supply-chain lead-time variance by 23%, dampen bullwhip effects by about 30%, and lower geopolitical value-at-risk by 18%. The findings point to potential procurement demand for AI-enabled forecasting, visibility into lower-tier suppliers, diversified sourcing, and secure trade-finance systems. The results are scenario-based: the study identifies no specific solicitation, award, or contracting opportunity.

- Procurement teams can use the modeled results to assess whether AI forecasting and digital-twin capabilities address their own supply-chain risks; the reported performance figures are not evidence of guaranteed outcomes.
- Contractors offering supplier-visibility, forecasting, sourcing-risk, or trade-finance capabilities may find these functions relevant to customer planning, but the study does not identify an active procurement or funding mechanism.
- The study’s China and Mexico references underscore the relevance of geopolitical exposure in sourcing analysis; organizations should evaluate supplier concentration and alternatives in the context of their own supply chains.

**Jurisdictions:** international
**Industries:** Information Technology
**Topics:** Artificial Intelligence
**Published:** October 31, 2026

### Government Entities
- Bank for International Settlements (BIS)
- World Trade Organization (WTO)
- United Nations Conference on Trade and Development (UNCTAD)
- World Bank
- National Institute of Standards and Technology (NIST)

### Sources
- [Global Supply Chain Resilience—Economic Vulnerabilities, Geopolitical Shifts, and the Quest for Stability - Premier Science](https://premierscience.com/pjec-26-1596) - Premier Science