BEYOND THE BUZZ Deploying AI in Your Supply Chain
KEY MUST HAVES
AI QUICK TIPS
1 Clean, standardized data
2 Optimized end-to-end workflows
3 Visibility so teams trust the output
Source: DEEPTI SHARMA , Chief Technology Ocer, TrueCommerce
“You’ve got to start with consistent data and clear operating rules . And you can’t take people out of it. Artificial intelligence should support operators, not replace them. Keep it transparent, set guardrails, and treat it like a decision tool.” – KEITH MOORE , CEO, AutoScheduler.AI
“ Focus on governance , human-in-the-loop decision models, transparent KPIs, and continuous model validation, not just faster automation.” – GEORGE MAKSIMENKO , CEO, Adexin
“ Treat AI as decision support , not a substitute for human judgment, and pair it with strong data governance, transparency, and regular human review.” – NISHITH RASTOGI , Founder and CETO (Chief Executive and Technology Ocer), Locus.sh
“AI features are increasingly bundled into platforms and turned on by default. Ask key questions about data portability and how AI recommendations are explained to avoid inconsistencies or black box outputs becoming a liability.”
AI HURDLES TO OVERCOME 1. Poor data (incomplete, biased, or outdated) 2. Change management gaps 3. Lack of cross-functional integration
– BEN HUSSEY , Co-CEO, Katana Cloud Inventory
4. Unclear accountability 5. Disconnected systems 6. Undefined ROI
“Supply chains require context, experience, and judgment. Use AI as support, not a substitute , and keep humans accountable for outcomes. In some scenarios, like customs filings, it’s also required by law to keep humans in the loop.” – MATTHEW FOTOUHI , Chief Innovation Ocer, MAGAYA
Go deeper: Inspectorio State of Supply Chain 2026 report
30 Inbound Logistics • July 2026
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