GOODQUESTION
FULFILLMENT AI DATA CURATOR. Research, identify, document, collect, and record data related to all aspects of fulfillment operations, including inventory, labor, equipment, workflow, operational modes, work cycles, fulfillment cycle times, and seasonal variances. Work with the AI production conformance specialist to curate pertinent outside data to improve performance. –Robert Nilsson Chief Commercial Ocer, VARGO SUPPLY CHAIN PROMPT ENGINEER. Craft and optimize the queries, rules, and scenarios AI agents use to make decisions. Translate tribal knowledge like “Jerry at Dock 5 always knows which trucks have priority” into AI logic, ensure models understand “ASAP” from Customer A means 48 hours while from Customer B means 2 weeks, and teach AI systems the unwritten rules that keep supply chains moving.
Digital Twin Specialist
Supply chain digital twin architect. This position focuses on creating a live, digital twin of the entire supply chain. From raw material sourcing to final delivery, they model the flow of goods. Using predictive analysis, they simulate disruptions and ensure a proactive and comprehensive view of the operation. This transforms reactive logistics into a predictive, strategic function. –Vidya Shankara Account Director, Consumer and Retail, Randstad Digital Digital twin engineer. Professionals who design and manage virtual models of physical supply chains. These models enable scenario testing, risk analysis, and real-time optimization across multiple logistics partners. Using AI-driven simulations, they help predict disruptions and improve eciency. –Matt Garippa Co-Founder & Chief Business Ocer, Order.co
AI ENABLEMENT ENGINEER. A role that actually puts AI into motion. The role would source or help develop the appropriate agents to deploy, mapping workflows and ensuring the data is cleansed enough to support proper decision making. –Eric Elter VP Sales, Marketing and IT, KDL Logistics RESILIENCE ARCHITECT. Partner with agentic AI to anticipate shocks, simulate outcomes, and rewire supply chains for agility. It’s less about tracking disruptions and more about building ecosystems that succeed despite them. –Sunder Balakrishnan Director, Supply Chain Analytics, LatentView Analytics
coordinate automation deployment to keep supply chains running smoothly despite stang gaps.
–Shannon Hynds CEO, Quickcode.ai
–Deepak Singh Chief Innovation Ocer, Adeptia
AGENTIC AI
STRATEGY
AI AGENT MANAGER. Similar to how a sales manager oversees sales reps, this role manages AI agents handling tasks like load booking, carrier vetting, tracking, and exception handling. They prompt, monitor, and optimize AI performance to ensure smooth, ecient operations and help teams get the most value from AI across the organization. –Shawn Vo President and CTO, Denim AGENTIC PROCUREMENT ENGINEER. Design, orchestrate, and optimize intelligent agent workflows that automate sourcing, negotiation, compliance, and spend management. Acting as the bridge between human judgment and autonomous systems, they unlock scale, precision, and impact across the supply chain. –Erin McFarlane VP Operations, Fairmarkit
AI TRADE STRATEGY ANALYST. This hybrid expert blends machine learning tools with human judgment to proactively identify tari shifts, optimize landed cost models, and flag compliance risks before they become liabilities. –Thomas Taggart VP, Global Trade, Passport Global Inc. interface with AI tools used in supply chain, including product ordering, customer marketing, and inventory, fulfillment and storage planning. This senior level position would ensure AI usage and performance measurement align with strategic corporate goals. –Dan Cahalan Sales Director, Integrated Solutions, Swisslog Americas OPERATIONS STRATEGY DIRECTOR. Coordinate and AI LABOR GAP STRATEGIST. Use AI to forecast labor shortages, optimize workforce allocation, and
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October 2025 • Inbound Logistics 9
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