Materials requirements planning logistics and supply chain software
Technology category · O*NET
Materials requirements planning logistics and supply chain software is a technology category in the O*NET database. Across U.S. occupations, 50 report using software or tools in this category. The named products below are the specific examples O*NET records for those jobs. The occupations that use it sit, on average, at the 47th percentile of AI task-exposure ( moderate) — how much that work overlaps with what AI can do, not a sign the tool is being replaced. See where every tool category sits.
A Hot tag marks technologies O*NET sees frequently in employer job postings; In demand marks tools an occupation specifically requires.
Example software & tools
Ranked by how many occupations list each product. Each number is an occupation count — a job is counted once per product — so the product rows overlap and do not sum to the category total.
Showing the top 40 of 171 products in this category.
Occupations that use Materials requirements planning logistics and supply chain software
- Aircraft Cargo Handling Supervisors
- Architectural and Civil Drafters
- Architectural and Engineering Managers
- Bakers
- Bus and Truck Mechanics and Diesel Engine Specialists
- Captains, Mates, and Pilots of Water Vessels
- Chefs and Head Cooks
- Coating, Painting, and Spraying Machine Setters, Operators, and Tenders
- Conveyor Operators and Tenders
- Cooks, Restaurant
- Customer Service Representatives
- Customs Brokers
- Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders
- First-Line Supervisors of Housekeeping and Janitorial Workers
- First-Line Supervisors of Material-Moving Machine and Vehicle Operators
- First-Line Supervisors of Production and Operating Workers
- Freight Forwarders
- General and Operations Managers
- Government Property Inspectors and Investigators
- Heavy and Tractor-Trailer Truck Drivers
- Industrial Engineering Technologists and Technicians
- Industrial Engineers
- Industrial Truck and Tractor Operators
- Laborers and Freight, Stock, and Material Movers, Hand
- Logisticians
- Logistics Analysts
- Logistics Engineers
- Maids and Housekeeping Cleaners
- Mechanical Drafters
- Mechanical Engineers
- Medical Equipment Preparers
- Medical and Health Services Managers
- Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic
- Mobile Heavy Equipment Mechanics, Except Engines
- Nanosystems Engineers
- Order Clerks
- Paving, Surfacing, and Tamping Equipment Operators
- Production, Planning, and Expediting Clerks
- Purchasing Managers
- Railroad Conductors and Yardmasters
Showing 40 of 50 occupations.
How AI is used by roles that use Materials requirements planning logistics and supply chain software
A software category is not itself "being automated" — but we can look at the roles that report using Materials requirements planning logistics and supply chain software and ask how those people actually use AI. This rolls the Anthropic Economic Index per-role signal up across those roles, weighted by how much observed AI activity each one has. 60.0% of the 50 roles that use this category carry observed AI-usage data (30 roles).
Across those roles, 45.4% of AI conversations are people working with AI and 37.6% hand a task to AI , with an average autonomy of 3.69 / 5.
| Collaboration pattern | Share | What it means |
|---|---|---|
| directive | 35.0% | AI does it; you give the instruction |
| task iteration | 32.4% | you and AI go back and forth |
| learning | 11.4% | you ask AI to explain or teach |
| feedback loop | 2.6% | AI does it, then adjusts from your feedback |
| validation | 1.6% | you do it; AI checks your work |
Roles behind this signal
The roles using this category that have the most AEI data. "Works with AI" is the role's share of conversations that augment rather than automate.
| Occupation | Works with AI | Autonomy |
|---|---|---|
| Architectural and Engineering Managers | 66.3% | 4.0/5 |
| First-Line Supervisors of Housekeeping and Janitorial Workers | 48.5% | 4.0/5 |
| Customer Service Representatives | 35.5% | 3.0/5 |
| Medical and Health Services Managers | 49.5% | 4.0/5 |
| Cooks, Restaurant | 36.7% | 4.0/5 |
| Nanosystems Engineers | 63.0% | 4.0/5 |
| Logistics Engineers | 52.3% | 4.0/5 |
| Purchasing Managers | 38.0% | 3.0/5 |
| General and Operations Managers | 46.8% | 3.5/5 |
| Chefs and Head Cooks | 38.5% | 4.0/5 |
| Mechanical Engineers | 42.0% | 3.5/5 |
| Government Property Inspectors and Investigators | 46.8% | 3.0/5 |
Source: Anthropic Economic Index (2026-01-15-v4-plus-2025-03-27-v2) over a sample of Claude.ai Free and Pro conversations — not all AI tools and not the whole workforce. Roles list software categories in O*NET; this does not mean AI is used inside Materials requirements planning logistics and supply chain software, only that people in those roles use AI. Some conversations are left unclassified, so shares need not sum to 100.
Industries that concentrate this
Where Materials requirements planning logistics and supply chain software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Materials requirements planning logistics and supply chain software (O*NET importance ≥ 3 of 5, or report using the tool category). Concentration compares that reach to the national average industry, so a value above 1× means the requirement is more pervasive here than across the economy as a whole.
Nationally, about 16.2% of workers are in occupations that significantly use Materials requirements planning logistics and supply chain software (measured across 67 industries).
Sectors with the most such workers
| Sector | Workers | Employment reach |
|---|---|---|
| Transportation and Warehousing | 3,836,170 | 51.9% |
| Retail Trade | 3,589,780 | 23.0% |
| Manufacturing | 3,118,760 | 24.4% |
| Accommodation and Food Services | 2,335,370 | 16.4% |
| Wholesale Trade | 1,951,280 | 32.3% |
| Administrative and Support and Waste Management and Remediation Services | 1,944,930 | 21.5% |
| Professional, Scientific, and Technical Services | 1,453,020 | 13.5% |
| Health Care and Social Assistance | 1,272,700 | 5.5% |
| Finance and Insurance | 777,140 | 12.5% |
| Construction | 742,940 | 9.1% |
| Other Services (except Public Administration) | 479,410 | 10.8% |
| Management of Companies and Enterprises | 471,850 | 16.8% |
Industries where it is most concentrated
| Industry | Level | Concentration | Employment reach |
|---|---|---|---|
| Transportation and Warehousing | Sector | 3.2× | 51.9% |
| Engineering Services | National industry | 2.33× | 37.8% |
| Wholesale Trade | Sector | 1.99× | 32.3% |
| Temporary Help Services | National industry | 1.75× | 28.4% |
| Manufacturing | Sector | 1.51× | 24.4% |
| Full-Service Restaurants | National industry | 1.46× | 23.6% |
| Retail Trade | Sector | 1.42× | 23.0% |
| Administrative and Support and Waste Management and Remediation Services | Sector | 1.33× | 21.5% |
| Direct Health and Medical Insurance Carriers | National industry | 1.27× | 20.5% |
| Farm and Garden Machinery and Equipment Merchant Wholesalers | National industry | 1.27× | 20.6% |
| Machine Shops | National industry | 1.23× | 19.9% |
| Testing Laboratories and Services | National industry | 1.16× | 18.8% |
Reach is a measure of how widespread a requirement is across an industry's workforce, not how intensively any individual uses it. Sector worker counts come from BLS OEWS employment; the significance threshold and tool use come from O*NET. Industries shown by concentration are filtered to a real worker base so a tiny specialty cannot top the list on rounding.
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
- Census NAICS 2022 U.S. Census Bureau
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 3, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Materials requirements planning logistics and supply chain software." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/tools/materials-requirements-planning-logistics-and-supply-chain-software
Singulariki. (2026). Materials requirements planning logistics and supply chain software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/materials-requirements-planning-logistics-and-supply-chain-software
@misc{singulariki-materials-requirements-planning-logistics-and-supply-chain-software,
title = {Materials requirements planning logistics and supply chain software},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
url = {https://singulariki.com/tools/materials-requirements-planning-logistics-and-supply-chain-software}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.