Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Determine packaging requirements. · 0.4%
Logistics Analysts
Occupation · SOC 13-1081.02
Analyze product delivery or supply chain processes to identify or recommend changes. May manage route activity including invoicing, electronic bills, and shipment tracing.
Also called: Logistics Analyst · Logistics Management Analyst · Supply Chain Analyst · Transportation Analyst · Global Logistics Analyst · Material Supply Planner · Acquisition Analyst · Acquisitions Logistics Analyst · Demand Planner · Demand Planning Analyst · Inventory Analyst · Inventory Control Analyst
Job family: Business and Financial Operations Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-13-1081-02/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Use as a copilot
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
- Develop or maintain payment systems to ensure accuracy of vendor payments. · 0.8%
Keep a human in the loop
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
- Determine packaging requirements. · 100.0% need a human
- Develop or maintain payment systems to ensure accuracy of vendor payments. · 96.2% need a human
Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Market signal
Independent published positions, read together — not a forecast.
- Growing fast employment outlook (+16.7% by 2034)
- 26,400 openings/yr
- Moderate AI exposure
- Observed AI use leans augmentation
- Median pay $80,880/yr
- Can largely be done remotely (teleworkable)
- A reversal from 2013 — rated low automation risk then (8th), high AI task-overlap now (81st)
81st-percentile task overlap — yet about 26,400 openings a year (+16.7% projected, BLS), and observed AI use leans 3983% copilot, not hand-off (AEI) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 87th | 1.3 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 95th | 1.0 | |
| AI assistant applicability (Microsoft) Moderate | 55th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.6), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.0 · 8th percentile among occupations · Low
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Develop or maintain payment systems to ensure accuracy of vendor payments. | 2.2% | |
| Prepare reports on logistics performance measures. | 1.0% | |
| Recommend improvements to existing or planned logistics processes. | 0.4% | |
| Route or reroute drivers in real time with remote route navigation software, satellite linkup systems, or global positioning systems (GPS) to improve operational efficiencies. | 0.4% | |
| Develop or maintain models for logistics uses, such as cost estimating or demand forecasting. | 0.3% | |
| Analyze logistics data, using methods such as data mining, data modeling, or cost or benefit analysis. | 0.3% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +16.7% by 2034 |
| Projected annual openings | 26,400 |
| Employment 2024 → 2034 | 241,000 → 281,300 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Logistics Analysts sits at the 84th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
46% mean task exposure (2025)
84th percentile of 427 placed occupations
+3 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Management and Organization Analysts · 2421 | 46% | Gradient 2 |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Working with AI in this job
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 39.8% working with AI · 31.4% handed to AI |
| Most common way people use AI here | Directive · AI does it; you give the instruction |
| Typical AI autonomy | 3.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 78.8% |
What people delegate to AI
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Develop or maintain payment systems to ensure accuracy of vendor payments. | Learning | 0.8% |
| Determine packaging requirements. | Directive | 0.4% |
Where a human is still needed
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Determine packaging requirements. | 100.0% | |
| Develop or maintain payment systems to ensure accuracy of vendor payments. | 96.2% |
What people most often hand AI here
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
-
Help me develop or maintain payment systems to ensure accuracy of vendor payments.From: Develop or maintain payment systems to ensure accuracy of vendor payments. · 0.8% of measured AI use · learning
-
Help me determine packaging requirements.From: Determine packaging requirements. · 0.4% of measured AI use · directive
Tasks
All 31 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Maintain databases of logistics information. Core · importance 4.5
- Remotely monitor the flow of vehicles or inventory, using Web-based logistics information systems to track vehicles or containers. Core · importance 4.4
- Communicate with or monitor service providers, such as ocean carriers, air freight forwarders, global consolidators, customs brokers, or trucking companies. Core · importance 4.4
- Reorganize shipping schedules to consolidate loads, maximize vehicle usage, or limit the movement of empty vehicles or containers. Supplemental · importance 4.4
- Track product flow from origin to final delivery. Core · importance 4.3
- Interpret data on logistics elements, such as availability, maintainability, reliability, supply chain management, strategic sourcing or distribution, supplier management, or transportation. Core · importance 4.2
- Recommend improvements to existing or planned logistics processes. Core · importance 4.1
- Apply analytic methods or tools to understand, predict, or control logistics operations or processes. Core · importance 4.1
- Contact potential vendors to determine material availability. Supplemental · importance 4.1
- Prepare reports on logistics performance measures. Core · importance 4.0
- Enter logistics-related data into databases. Core · importance 4.0
- Analyze logistics data, using methods such as data mining, data modeling, or cost or benefit analysis. Core · importance 4.0
- Provide ongoing analyses in areas such as transportation costs, parts procurement, back orders, or delivery processes. Core · importance 4.0
- Monitor inventory transactions at warehouse facilities to assess receiving, storage, shipping, or inventory integrity. Core · importance 3.9
- Maintain logistics records in accordance with corporate policies. Core · importance 3.9
- Contact carriers for rates or schedules. Core · importance 3.9
- Manage systems to ensure that pricing structures adequately reflect logistics costing. Core · importance 3.9
- Confer with logistics management teams to determine ways to optimize service levels, maintain supply-chain efficiency, or minimize cost. Core · importance 3.9
- Develop or maintain payment systems to ensure accuracy of vendor payments. Supplemental · importance 3.8
- Compute reporting metrics, such as on-time delivery rates, order fulfillment rates, or inventory turns. Core · importance 3.8
- Develop or maintain freight rate databases for use by supply chain departments to determine the most economical modes of transportation. Supplemental · importance 3.7
- Identify opportunities for inventory reductions. Core · importance 3.7
- Review procedures, such as distribution or inventory management, to ensure maximum efficiency or minimum cost. Core · importance 3.5
- Develop or maintain models for logistics uses, such as cost estimating or demand forecasting. Core · importance 3.4
- Monitor industry standards, trends, or practices to identify developments in logistics planning or execution. Core · importance 3.4
- Write or revise standard operating procedures for logistics processes. Core · importance 3.3
- Route or reroute drivers in real time with remote route navigation software, satellite linkup systems, or global positioning systems (GPS) to improve operational efficiencies. Supplemental · importance 3.3
- Determine packaging requirements. Supplemental · importance 2.9
- Enter carbon-output or environmental-impact data into spreadsheets or environmental management or auditing software programs. Supplemental · importance 2.9
- Compare locations or environmental policies of carriers or suppliers to make transportation decisions with lower environmental impact. Supplemental · importance 2.7
- Arrange for sale or lease of excess storage or transport capacity to minimize losses or inefficiencies associated with empty space. Supplemental · importance 2.4
Work activities
- Identify opportunities to improve operational efficiency.
- Analyze industry trends.
- Maintain data in information systems or databases.
- Develop business or financial information systems.
- Calculate specific material, equipment, or labor requirements for production.
- Obtain information about goods or services.
- Monitor organizational processes.
- Monitor inventories of products or materials.
- Establish organizational guidelines or policies.
- Prepare financial documents.
- Advise others on logistics topics.
- Analyze logistics processes.
- Prepare operational reports.
- Coordinate logistics or other business operations.
- Apply mathematical models of financial or business conditions.
- Develop financial analysis methods.
- Discuss business strategies, practices, or policies with managers.
- Calculate data to inform organizational operations.
- Evaluate logistics methods to reduce environmental impact.
- Execute sales or other financial transactions.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
Essential skills
| Reading Comprehension | 4.0 | |
| Critical Thinking | 4.0 | |
| Active Listening | 3.9 | |
| Speaking | 3.8 | |
| Monitoring | 3.8 | |
| Writing | 3.4 | |
| Active Learning | 3.1 |
Abilities
| Oral Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Written Comprehension | 3.9 | |
| Near Vision | 3.9 | |
| Deductive Reasoning | 3.8 | |
| Inductive Reasoning | 3.8 | |
| Information Ordering | 3.8 | |
| Speech Recognition | 3.8 | |
| Problem Sensitivity | 3.6 | |
| Mathematical Reasoning | 3.6 | |
| Speech Clarity | 3.5 | |
| Written Expression | 3.3 | |
| Category Flexibility | 3.3 | |
| Number Facility | 3.3 | |
| Flexibility of Closure | 3.3 | |
| Selective Attention | 3.3 | |
| Fluency of Ideas | 3.1 | |
| Originality | 3.1 | |
| Perceptual Speed | 3.1 |
Transferable skills
| Complex Problem Solving | 3.9 | |
| Systems Analysis | 3.8 | |
| Systems Evaluation | 3.8 | |
| Judgment and Decision Making | 3.6 | |
| Time Management | 3.3 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 51.
Tools & technology
Showing the top 40 of 53.
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 4 — Job Zone Four: Considerable Preparation Needed
- Education
- Most of these occupations require a four-year bachelor's degree, but some do not.
- Typical entry-level education
- Bachelor's degree · BLS, the typical path — not a requirement
- Related experience
- A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
- Preparation level
- SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.
What to study: Business, Management, Marketing, and Related Support Services . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Bachelor's Degree | 63.6% | |
| Associate's Degree (or other 2-year degree) | 22.7% | |
| Some College Courses | 4.5% | |
| Master's Degree | 4.5% | |
| Post-Master's Certificate | 4.5% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Conventional | 6.8 | |
| Enterprising | 4.5 | |
| Investigative | 4.0 | |
| Realistic | 2.9 |
Interest areas
| Office Work | 4.9 | |
| Mathematics/Statistics | 4.0 | |
| Management/Administration | 3.3 | |
| Information Technology | 3.1 | |
| Business Initiatives | 2.9 | |
| Accounting | 2.9 | |
| Finance | 2.2 | |
| Transportation/Machine Operation | 2.0 |
Work styles
| Attention to Detail | 2.6 | |
| Dependability | 2.5 | |
| Cautiousness | 1.8 | |
| Achievement Orientation | 1.7 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $49,260 |
| 25th percentile | $62,920 |
| Median (50th) | $80,880 |
| 75th percentile | $104,330 |
| 90th percentile | $132,110 |
| People employed | 235,640 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 13-1081), not for the specialty alone.
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Manufacturing · Sector | 54,140 | $83,720 |
| Professional, Scientific, and Technical Services · Sector | 35,170 | $82,330 |
| Transportation and Warehousing · Sector | 27,970 | $62,710 |
| Management of Companies and Enterprises · Sector | 25,500 | $84,960 |
| Wholesale Trade · Sector | 25,260 | $73,090 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 9,070 | $63,510 |
| Engineering Services · National industry | 6,030 | $91,170 |
| Health Care and Social Assistance · Sector | 4,680 | $64,310 |
| Information · Sector | 3,810 | $96,120 |
| Temporary Help Services · National industry | 3,470 | $56,410 |
| Retail Trade · Sector | 3,320 | $70,840 |
| Construction · Sector | 2,310 | $79,720 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Management of Companies and Enterprises · Sector | 5.94× | 25,500 |
| Engineering Services · National industry | 3.41× | 6,030 |
| Manufacturing · Sector | 2.78× | 54,140 |
| Wholesale Trade · Sector | 2.74× | 25,260 |
| Testing Laboratories and Services · National industry | 2.61× | 680 |
| Transportation and Warehousing · Sector | 2.48× | 27,970 |
| Professional, Scientific, and Technical Services · Sector | 2.14× | 35,170 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 1.92× | 1,680 |
Related occupations
Part of the Supply Chain & Transportation career cluster.
- Supply Chain Managers · 11-3071.04 Compare →
- Logisticians · 13-1081.00 Compare →
- Logistics Engineers · 13-1081.01 Compare →
- Transportation, Storage, and Distribution Managers · 11-3071.00 Compare →
- Purchasing Managers · 11-3061.00 Compare →
- Procurement Clerks · 43-3061.00 Compare →
- Production, Planning, and Expediting Clerks · 43-5061.00 Compare →
- Purchasing Agents, Except Wholesale, Retail, and Farm Products · 13-1023.00 Compare →
- Industrial Production Managers · 11-3051.00 Compare →
- Management Analysts · 13-1111.00 Compare →
- Shipping, Receiving, and Inventory Clerks · 43-5071.00 Compare →
- Freight Forwarders · 43-5011.01 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Logistics Analysts — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Bachelor's degree · typical entry level
- Job zone 4 — Job Zone Four: Considerable Preparation Needed · preparation tier
- Business, Management, Marketing, and Related Support Services · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 84th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Logistics Analysts show 81st-percentile AI task overlap — and about 26,400 annual U.S. openings
- Logistics Analysts rank in the 81st percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 26,400 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be growing fast (+16.7%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $80,880, across about 235,640 U.S. workers.BLS OEWS (May 2024)
- Of the AI use actually observed for this work, 40% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Logistics Analysts show 81st-percentile AI task overlap — and about 26,400 annual U.S. openings • Logistics Analysts rank in the 81st percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 26,400 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be growing fast (+16.7%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $80,880, across about 235,640 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 40% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Logistics Analysts". https://singulariki.com/roles/role-13-1081-02 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Logistics Analysts." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-13-1081-02
APA
Singulariki. (2026). Logistics Analysts. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-13-1081-02
BibTeX
@misc{singulariki-role-13-1081-02,
title = {Logistics Analysts},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-13-1081-02}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.