Digital twins and AI systems drive next wave of supply chain transformation
· Source: devdiscourse.com
In short
A new review study published in Applied Sciences examines how AI, data-driven forecasting, and digital twin technologies are converging to reshape supply chain decision-making. The research highlights a shift from traditional optimization toward hybrid systems combining machine learning with operations research, enabling adaptive demand forecasting and real-time resilience. Key barriers remain in system integration, governance, and organizational readiness, but digital twins and AI are increasingly moving from experimental tools to core operational systems.
Read Original Article — Read the full article on the publisher’s site.
In the issue of week 18, 2026: Agentic AI and Physical Automation Drive Supply Chain Breakthroughs
Tags: digital twins, demand forecasting, supply chain, resilience, optimization, governance