Skip to content
Singulariki

Supply Chain Managers

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

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-11-3071-04/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.

78th-percentile task overlap — yet about 18,500 openings a year (+6.1% projected, BLS) . 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 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.

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 0.6 · 50th percentile among occupations · Moderate

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.

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%

Job outlook

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.

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.

39% mean task exposure (2025)
74th percentile of 427 placed occupations
−0 pts shift 2023 → 2025
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.

Tasks

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.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Transportation 4.5
Administration and Management 4.3
English Language 4.0
Economics and Accounting 3.8
Customer and Personal Service 3.8
Production and Processing 3.8
Personnel and Human Resources 3.7
Mathematics 3.5
Computers and Electronics 3.1

Essential skills

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

Transferable skills

Coordination 4.0
Judgment and Decision Making 4.0
Time Management 4.0
Complex Problem Solving 3.9
Systems Evaluation 3.9
Social Perceptiveness 3.8
Negotiation 3.8
Systems Analysis 3.8
Management of Material Resources 3.8
Persuasion 3.6
Management of Personnel Resources 3.3

Abilities

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 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 50.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft Outlook Electronic mail software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology In demand
SAP software Enterprise resource planning ERP software Hot technology In demand
MEDITECH software Medical software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Project Project management software Hot technology
Microsoft SharePoint Document management software Hot technology
Microsoft SQL Server Data base user interface and query software Hot technology
Microsoft Visio Process mapping and design software Hot technology
Microsoft Word Word processing software Hot technology
Oracle PeopleSoft Enterprise resource planning ERP software Hot technology
Structured query language SQL Data base user interface and query software Hot technology
Inventory management systems Inventory management software In demand
Warehouse management system WMS Materials requirements planning logistics and supply chain software In demand
Adexa Supply Chain Planning Materials requirements planning logistics and supply chain software
Advanced business application programming ABAP Object or component oriented development software
Aldata Warehouse Management Materials requirements planning logistics and supply chain software
CDC Supply Chain Materials requirements planning logistics and supply chain software
Dex Warehouse Materials requirements planning logistics and supply chain software
Epicor SRM Materials requirements planning logistics and supply chain software
Epicor WMS Materials requirements planning logistics and supply chain software
Graphics software Graphics or photo imaging software
HighJump Software Supply Chain Advantage Materials requirements planning logistics and supply chain software
HighJump Warehouse Advantage Materials requirements planning logistics and supply chain software
i2 Collaborative Supply Execution Materials requirements planning logistics and supply chain software
i2 Intelligence Materials requirements planning logistics and supply chain software
i2 Supply Chain Visibility Materials requirements planning logistics and supply chain software
IBM ILOG Inventory Analyst Inventory management software
IBM ILOG LogicNet Plus XE Materials requirements planning logistics and supply chain software
IBS MRP Materials requirements planning logistics and supply chain software
IBS Supply Chain Management Materials requirements planning logistics and supply chain software
IFS Applications for Supply Chain Management Materials requirements planning logistics and supply chain software
Infor Lawson Supply Chain Management Materials requirements planning logistics and supply chain software
Infor SCM Materials requirements planning logistics and supply chain software
JDA Master Planning Materials requirements planning logistics and supply chain software
Lawson S3 Supply Chain Management Materials requirements planning logistics and supply chain software
Manhattan Scale Materials requirements planning logistics and supply chain software
Manhattan Supply Chain Process Platform Materials requirements planning logistics and supply chain software

Showing the top 40 of 59.

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.

Telephone Conversations 5.0
E-Mail 5.0
Face-to-Face Discussions with Individuals and Within Teams 4.9
Work With or Contribute to a Work Group or Team 4.6
Contact With Others 4.6
Time Pressure 4.4
Indoors, Environmentally Controlled 4.3
Work Outcomes and Results of Other Workers 4.2
Determine Tasks, Priorities and Goals 4.2
Coordinate or Lead Others in Accomplishing Work Activities 4.1
Freedom to Make Decisions 4.0
Importance of Being Exact or Accurate 4.0
Health and Safety of Other Workers 4.0
Spend Time Sitting 4.0
Conflict Situations 3.8
Written Letters and Memos 3.7
Deal With External Customers or the Public in General 3.7
Impact of Decisions on Co-workers or Company Results 3.7
Frequency of Decision Making 3.6
Level of Competition 3.5
Dealing With Unpleasant, Angry, or Discourteous People 3.4
Indoors, Not Environmentally Controlled 3.0
Physical Proximity 3.0
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.0
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.0
Public Speaking 2.8
Importance of Repeating Same Tasks 2.7
Degree of Automation 2.5
In an Enclosed Vehicle or Operate Enclosed Equipment 2.4
Consequence of Error 2.4
Spend Time Standing 2.3
Exposed to Very Hot or Cold Temperatures 2.2
Spend Time Making Repetitive Motions 2.2
Outdoors, Exposed to All Weather Conditions 2.1
Pace Determined by Speed of Equipment 2.0
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.9
Spend Time Walking or Running 1.9
Outdoors, Under Cover 1.8
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 1.8
Exposed to Contaminants 1.6

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
High school diploma or equivalent · 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 , Public Administration and Social Service Professions , Transportation and Materials Moving . 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 66.7%
Master's Degree 19.1%
Post-Baccalaureate Certificate 9.5%
Associate's Degree (or other 2-year degree) 4.8%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Work styles

Dependability 7.0
Attention to Detail 6.0
Integrity 5.0
Achievement Orientation 4.0
Adaptability 3.0

Interest areas

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

Career interests (Holland / RIASEC)

Enterprising 6.2
Conventional 5.3
Realistic 3.4

Wages & employment

U.S. · annual wages (BLS OEWS)

$61k10th$78k25th$102kMedian$136k75th$181k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
217k2024230k2034 (proj.)+6.1% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
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.

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
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

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
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.

Exposure quadrant: AI task-overlap percentile vs Median pay Supply Chain Managers sits at the 78th percentile of AI task-overlap and the 84th percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Supply Chain Managers Industrial Production Managers Purchasing Managers Logisticians Production, Planning, and Expediting Clerks AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

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 Supply Chain Managers — 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.

Zoom out

On the global GenAI exposure gradient this work sits around the 74th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

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)
Copy the whole kit
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.

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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

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

APA

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

BibTeX
@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.

Embed this chart

Paste this into any page. It links back here for attribution.