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 →Occupation · SOC 11-3071.04
Direct or coordinate production, purchasing, warehousing, distribution, or financial forecasting services or activities to limit costs and improve accuracy, customer service, or safety. Examine existing procedures or opportunities for streamlining activities to meet product distribution needs. Direct the movement, storage, or processing of inventory.
Also called: Global Supply Chain Director · Material Requirements Planning Manager · Supply Chain Director · Supply Chain Manager · Solution Design and Analysis Manager · Auto Parts Manager (Automotive Parts Manager) · Demand Planning Manager · Global Supply Chain Manager · Inventory Control Supervisor · Inventory Manager · Inventory Supervisor · Logistics Supervisor
Job family: Management Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-11-3071-04/context.md directly.
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.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
78th-percentile task overlap — yet about 18,500 openings a year (+6.1% projected, BLS) . What exposure means →
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.
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 | 70th | 0.9 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 91st | 1.0 | |
| AI assistant applicability (Microsoft) High | 69th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.5), 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.
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 0.6 · 50th percentile among occupations · Moderate
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.
| Evaluate and select information or other technology solutions to improve tracking and reporting of materials or products distribution, storage, or inventory. | 0.3% | |
| Develop or implement procedures or systems to evaluate or select suppliers. | 0.3% | |
| Diagram supply chain models to help facilitate discussions with customers. | 0.2% | |
| Design or implement plant warehousing strategies for production materials or finished products. | 0.2% | |
| Identify opportunities to reuse or recycle materials to minimize consumption of new materials, minimize waste, or to convert wastes to by-products. | 0.2% | |
| Negotiate prices and terms with suppliers, vendors, or freight forwarders. | 0.2% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +6.1% by 2034 |
| Projected annual openings | 18,500 |
| Employment 2024 → 2034 | 216,700 → 229,800 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
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.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Supply, Distribution and Related Managers · 1324 | 39% | Minimal |
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.
All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Reading Comprehension | 4.0 | |
| Active Listening | 4.0 | |
| Speaking | 4.0 | |
| Monitoring | 4.0 | |
| Writing | 3.9 | |
| Critical Thinking | 3.9 | |
| Active Learning | 3.8 |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Written Expression | 4.0 | |
| Problem Sensitivity | 3.9 | |
| Deductive Reasoning | 3.9 | |
| Inductive Reasoning | 3.9 | |
| Information Ordering | 3.9 | |
| Category Flexibility | 3.8 | |
| Speech Clarity | 3.8 | |
| Near Vision | 3.6 | |
| Speech Recognition | 3.6 | |
| Originality | 3.3 |
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 50.
Showing the top 40 of 59.
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.
What to study: Business, Management, Marketing, and Related Support Services , Public Administration and Social Service Professions , Transportation and Materials Moving . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Bachelor's Degree | 66.7% | |
| Master's Degree | 19.1% | |
| Post-Baccalaureate Certificate | 9.5% | |
| Associate's Degree (or other 2-year degree) | 4.8% |
The interests and personal qualities O*NET associates with people who do this work.
| Dependability | 7.0 | |
| Attention to Detail | 6.0 | |
| Integrity | 5.0 | |
| Achievement Orientation | 4.0 | |
| Adaptability | 3.0 |
| Management/Administration | 6.3 | |
| Business Initiatives | 5.1 | |
| Accounting | 3.1 | |
| Office Work | 2.8 | |
| Mathematics/Statistics | 2.7 | |
| Public Speaking | 2.7 | |
| Finance | 2.6 | |
| Information Technology | 2.5 |
| Enterprising | 6.2 | |
| Conventional | 5.3 | |
| Realistic | 3.4 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $61,200 |
| 25th percentile | $78,360 |
| Median (50th) | $102,010 |
| 75th percentile | $136,050 |
| 90th percentile | $180,590 |
| People employed | 213,000 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 11-3071), not for the specialty alone.
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 |
|---|---|---|
| Transportation and Warehousing · Sector | 68,620 | $99,610 |
| Wholesale Trade · Sector | 36,200 | $95,340 |
| Manufacturing · Sector | 27,300 | $114,180 |
| Management of Companies and Enterprises · Sector | 15,270 | $148,130 |
| Retail Trade · Sector | 10,810 | $75,030 |
| Professional, Scientific, and Technical Services · Sector | 8,950 | $129,000 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 6,120 | $97,160 |
| Construction · Sector | 4,790 | $80,630 |
| Real Estate and Rental and Leasing · Sector | 4,740 | $63,550 |
| Educational Services · Sector | 3,490 | $93,770 |
| Health Care and Social Assistance · Sector | 3,300 | $98,910 |
| Information · Sector | 1,840 | $114,580 |
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 |
|---|---|---|
| Transportation and Warehousing · Sector | 6.72× | 68,620 |
| Wholesale Trade · Sector | 4.34× | 36,200 |
| Management of Companies and Enterprises · Sector | 3.93× | 15,270 |
| Testing Laboratories and Services · National industry | 2.12× | 500 |
| Farm and Garden Machinery and Equipment Merchant Wholesalers · National industry | 2.03× | 320 |
| Utilities · Sector | 1.69× | 1,350 |
| Manufacturing · Sector | 1.55× | 27,300 |
| Real Estate and Rental and Leasing · Sector | 1.45× | 4,740 |
Part of the Supply Chain & Transportation career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Supply Chain Managers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 74th percentile of 427 international occupations.
Supply Chain Managers show 78th-percentile AI task overlap — and about 18,500 annual U.S. openings
Supply Chain Managers show 78th-percentile AI task overlap — and about 18,500 annual U.S. openings • Supply Chain Managers rank in the 78th 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 18,500 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 about average (+6.1%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $102,010, across about 213,000 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Supply Chain Managers". https://singulariki.com/roles/role-11-3071-04 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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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.
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.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Supply Chain Managers." 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-11-3071-04
Singulariki. (2026). Supply Chain Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-3071-04
@misc{singulariki-role-11-3071-04,
title = {Supply Chain Managers},
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-11-3071-04}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.