THELASTMILE Logistics Outside the Box
Don’t Let These AI Miteps Haunt You AI Miteps Artificial intelligence in supply chains can unlock efficiencies, but it can also unleash some tricky conundrums.
human oversight on critical decisions/ paths, and continuous monitoring in live environments.” ROGUE CODE
GHOSTBUSTING MOVES Standardize and check data. Maintain data governance. Define workflows. Establish use cases. Let humans oversee and take accountability. “Treat AI adoption with the same rigor as any major operational change. Establish clear objectives, quality inputs, and human accountability.” MATT HUCKEBA Chief Strategy Officer, Evans Transportation
SHADOW AI When employees access readily available AI tools at work, instead of using
As AI tools are being used to create software code via vibe coding, the systems
company-vetted solutions. With nearly 40% of all AI interactions now involving sensitive corporate data,* shadow AI can increase overall risk.
they create can pose security risks with vulnerabilities that hackers can exploit. Since AI models tend to repeat the same awed code, an attacker would need to nd these bugs just once to breach the system.** SLOPTIMISM A misplaced sense of
PHANTOM INVENTORY The discrepancy between recorded and actual stock. While AI-powered
visibility tools can be used to spot and ag phantom inventory, on the ip side, they can also amplify inaccuracies if left unchecked. DATA DECAY The degradation of supply chain data accuracy over time as real-world conditions change. AI can magnify mistakes and spur poor decisions. “Arti cial intelligence in the supply chain is a classic ‘garbage in, garbage out’ problem. Poor data quality leads to awed decisions at scale down the road,” says Vlad Kadurin, chief product and operations of cer at Ship.Cars. “The x is strict data governance,
optimism about the quality and accuracy of AI outputs. Don’t be lulled into
complacency. “Treating AI as a one-time x is a key risk; autonomy must be earned through training, guardrails, oversight, and updates,” warns Rachelle Butler, director of strategy at JBF Consulting. In short, AI is not a shortcut.
A OUNTABILITY DRIFT The sudden disappearance of project ownership when data outputs lead to
bad decisions.
* 2026 AI Adoption & Risk Report by Cyberhaven Labs ** Bad Vibes: AI-Generated Code is Vulnerable, Researchers Warn, Georgia Institute of Technology
96 Inbound Logistics • September 2026
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