What New Job Will AI Create in Logistics/Supply Chain Management?
AUDIT
AI risk auditor. As artificial intelligence takes over routine planning, we’ll need experts who audit the decisions it makes. This role will interrogate AI-driven forecasts, sourcing choices, and risk models.
–Lisa Montague
Commercial Director (South),
AGI Global Logistics
Ethics and governance director. This position drives the safe and ethical adoption of AI across all supply chain functions. It establishes usage policies, monitors AI decision-making for bias or errors, and ensures compliance with data privacy regulations. Additionally, it plays a crucial role in monitoring and mitigating security threats.
–Heidi Hoffman
Partner, ON Partners
AI compliance officer. A role dedicated to monitoring and auditing AI-driven logistics systems to ensure transparency, ethical decision-making, and regulatory compliance. This job safeguards against algorithmic bias, protects human jobs, and ensures companies don’t over-rely on flawed automations.
–Ken Feinstein
Vice President,
MIDCOM Data Technologies
Accountability officer. Someone has to oversee liability and governance. This person will need a combination of operational and legal expertise (there’s already a job like this in big tech), and they’ll write policies, manage incidents and audits, and help draft contracts.
–Nick Rakovsky
CEO, DataDocks
Bot Wrangler
Robot manager. Imagine someone stepping in when a robot drops a box or misreads a label in a warehouse. Robot managers will make sure fleets of bots and drones don’t crash into each other or stall in an aisle. They will monitor, guide, and troubleshoot the tech to keep things moving.
–Abdil Tunca
Senior Principal Analyst, Supply Chain
Gartner
Physical AI fleet orchestrator. This role will manage and optimize fleets of autonomous warehouse robots, delivery drones, or delivery bots. They’ll oversee the AI systems that govern fleet behavior, troubleshooting exceptions, ensuring human-robot collaboration, and maximizing the efficiency of physical automation across the supply chain.
–Mat Gilbert
PhD, Director, Head of AI & Data
Synapse, part of Capgemini Invent
FORECAST
Predictive logistics operations manager. This person will harness AI to forecast delays, flag risks early, and oversee real-time shipment visibility and automated status updates. AI can perform many of these tasks, so the employee will also focus on building processes, ensuring accuracy, and enabling proactive problem-solving, reduced errors, and seamless communication.
–David Mendelson
CPO, Super Dispatch
AI forecast coach. Oversee a team of AI forecasting models, creating the playbook for them to follow and adjusting the strategy as needed, much like a coach in any sport. The role will require a mix of technical skills and supply chain expertise to catch things the models miss.
–Peter Weigman
Software Architect – Product Development
TrueCommerce
DATA
AI quality analyst. This role reviews AI outputs, monitoring defects that have been detected in product batches and sending those details to the cloud to refine the model for continuous performance improvement.
–Brian Martensen
Product Manager,
Plex by Rockwell Automation
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 Officer
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.
–Deepak Singh
Chief Innovation Officer
Adeptia
STRATEGY
AI trade strategy analyst. This hybrid expert blends machine learning tools with human judgment to proactively identify tariff shifts, optimize landed cost models, and flag compliance risks before they become liabilities.
–Thomas Taggart
VP, Global Trade
Passport Global Inc.
Operations strategy director. Coordinate and 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
AI labor gap strategist. Use AI to forecast labor shortages, optimize workforce allocation, and coordinate automation deployment to keep supply chains running smoothly despite staffing gaps.
–Shannon Hynds
CEO
Quickcode.ai
Agentic AI
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, efficient 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 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
Digital Operator – Leverages AI to boost speed, efficiency, and reduce costs across supply chain ops.
AI Load Matcher – Uses predictive models to pair shipments with ideal carriers in real time.
Predictive Maintenance Analyst – Monitors fleet data to anticipate breakdowns and reduce downtime.
–Dr. Stefan Heck
CEO & Founder
Nauto
The role of a supply chain data analyst is becoming critical for monitoring and refining the AI models used in forecasting and optimization a modern supply chain. Serving as the vital link between mathematical models and practical business needs, analysts ensure models perform as intended by actively seeking new data sources and evolving constraints to enhance algorithm performance.
–Si-Mohamed Said
Chief Product Officer
Generix
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 efficiency.
–Matt Garippa
Co-Founder & Chief Business Officer
Order.co
FORECAST
Predictive maintenance manager. With the integration of AI this position could use advanced technology and data analytics to forecast chassis, reefer, and yard equipment failures before they happen—optimizing fleet utilization by reducing downtime and reactionary repair cost.
–Carl Francis
Vice President, Pool Operations
CCM
Predictive exception and remediation lead. This new role prioritizes and orchestrates rapid responses while AI predicts disruptions. By combining AI early-warning signals with fast, coordinated human action, it reduces time-to-resolve and ensures supply chains stay resilient, responsive, and competitive.
–Luca Cortinovis
Associate Partner
Logistics Reply US
DATA
Supply chain data steward. Procurement professionals will employ data science using AI to analyze supplier networks, onboard data governance and management strategies, predict disruptions, track product movements and transportation routes, and propose areas for cost savings on a weekly basis.
–Shaz Khan
CEO
Vroozi
The advanced data analytics specialist uses AI-powered tools to analyze large volumes of supply chain data from multiple sources. This role delivers near real-time insights on disruptions, demand shifts, and logistics bottlenecks, enabling agile decisions and continuous optimization for greater efficiency and resilience.
–Chipper Farley
President of 3PL Solutions
Made4net
AGENTIC AI
AI fulfillment optimization manager—a leader overseeing AI agents that directs robotics, labor, and order flow in real time. This will spur new jobs: gig workers using AI tools as dark-warehouse custodians and logistics pros evolving into warehouse AI specialists. Together, these roles highlight how AI is creating an entirely new ecosystem of human-AI collaboration in logistics.
–Oscar Mendez
Director, Head of AI & Data Science
Locus Robotics
Supply chain agent manager. Responsible for creating supply chain agents, monitoring their activities, and improving their performance. The person will require a strong understanding of supply chain operations, strategy, and financial objectives.
–Shabbir Dahod
President & CEO
TraceLink
Agentic AI managers. These experts will orchestrate fleets of intelligent agents, ensuring they work in harmony to maximize efficiency and avoid duplication. This role will be crucial for building trust and guaranteeing the reliability of these powerful autonomous systems.
–Ravi Maganti
Director of Product Management
Manhattan Associates
OPTIMIZATION
Logistics efficiency manager. The person who leverages advanced AI to constantly analyze fleet data, pinpoint bottlenecks, and recommend real-time adjustments to optimize routes and schedules. The human remains in the loop to make final decisions, using AI to enhance efficiency and reduce costs.
–Vlad Kadurin
Chief Product and Operations Officer
Ship.Car
Supply chain workflow architect (applicable to other domains too). Architects workflows where humans and AI agents complement each other, ensuring AI enhances rather than replaces human expertise in complex logistics decisions.
–Max Forsius
Product Director, AI Innovations
RELEX Solutions
The director of network AI leads the development and governance of AI systems optimizing the global supply chain. The role drives initiatives in planning, procurement, logistics, and delivery, leveraging digital twins, autonomous fleets, AI-enabled warehouses and digital integration while working closely with IT and digital trust teams to ensure a level of resilience, agility, and sustainability.
–Kara Brennion
Consulting Specialist, Supply Chain Security and Risk Intelligence
BSI Consulting