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Why AI still struggles to build real-world logistics models without human help

· Source: devdiscourse.com

In short

New research reveals that generative AI tools show strong potential in logistics simulation but remain far from replacing human expertise. While AI can significantly speed up simulation development, it struggles with autonomous model creation, frequently produces errors, and requires continuous human oversight to ensure accuracy. The study positions AI not as a replacement for engineers but as a powerful assistant that reshapes how simulation work is carried out through a copilot approach.

Read Original Article — Read the full article on the publisher’s site.

In the issue of week 14, 2026: AI-Driven Execution Transforms Supply Chains with Speed, Security, and Scale

Tags: logistics, simulation, AI, modeling, automation, supply-chain

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