Will AI replace Logistics Analysts?
AI reaches most of this job’s work.
65/100
Very high exposure
More exposed to AI than 95% of US workers.
- AI already used in
- 10% of the work
- As AI tools mature: up to
- 90% of the work
What the job involves
Analyze product delivery or supply chain processes to identify or recommend changes. May manage route activity including invoicing, electronic bills, and shipment tracing.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(3)
- Maintain databases of logistics information.
- Interpret data on logistics elements, such as availability, maintainability, reliability, supply chain management, strategic sourcing or distribution, supplier management, or transportation.
- Develop or maintain payment systems to ensure accuracy of vendor payments.
Within reach(25)
- Recommend improvements to existing or planned logistics processes.
- Prepare reports on logistics performance measures.
- Track product flow from origin to final delivery.
- Maintain logistics records in accordance with corporate policies.
- Confer with logistics management teams to determine ways to optimize service levels, maintain supply-chain efficiency, or minimize cost.
and 20 more
Out of reach(3)
- Provide ongoing analyses in areas such as transportation costs, parts procurement, back orders, or delivery processes.
- Apply analytic methods or tools to understand, predict, or control logistics operations or processes.
- Compare locations or environmental policies of carriers or suppliers to make transportation decisions with lower environmental impact.
Also called
Logistics Analyst · Supply Chain Analyst · Global Logistics Analyst · Logistics Management Analyst · Material Supply Planner · Transportation Analyst · Acquisition Analyst · Acquisitions Logistics Analyst
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What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics