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Warehouse management system WMS

Software & technology · O*NET

Warehouse management system WMS is a software tool tracked in the Materials requirements planning logistics and supply chain software category of O*NET's Technology Skills file. It appears in the technology profile of 18 occupations that together employ about 9,463,920 workers, with a median wage of $61,005.

Across the occupations that use it, the work is 31st percentile for AI task-exposure (Low) — how much of what those jobs do overlaps with what today's AI can attempt. That measures the exposure of the work, not the value of the tool or any sign it is being replaced. See where every tool category sits →

Occupations that use this tool

Occupations whose O*NET technology profile lists Warehouse management system WMS, ranked by employment. Wage and employment are BLS OEWS (national, cross-industry, May 2024) and describe the occupation, not an individual or the tool's own market.

Occupation Workers Median pay
Laborers and Freight, Stock, and Material Movers, Hand 2,982,530 $38,940
Stockers and Order Fillers 2,779,530 $37,090
Shipping, Receiving, and Inventory Clerks 857,630 $43,190
Industrial Truck and Tractor Operators 805,770 $46,390
Transportation Engineers 355,410 $99,590
Industrial Engineers 350,230 $101,140
Logisticians 235,640 $80,880
Logistics Analysts 235,640 $80,880
Logistics Engineers 235,640 $80,880
Supply Chain Managers 213,000 $102,010
Transportation, Storage, and Distribution Managers 213,000 $102,010
Order Clerks 83,420 $44,660
Weighers, Measurers, Checkers, and Samplers, Recordkeeping 49,720 $45,650
Paving, Surfacing, and Tamping Equipment Operators 45,680 $51,650
Tank Car, Truck, and Ship Loaders 10,920 $58,070
Aircraft Cargo Handling Supervisors 10,160 $63,940
First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand — —
First-Line Supervisors of Material-Moving Machine and Vehicle Operators — —
Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 16 occupations in occupations that use Warehouse management system WMS. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Paving, Surfacing, and Tamping Equipment Operators Industrial Truck and Tractor Operators Laborers and Freight, Stock, and Material Movers, Hand Tank Car, Truck, and Ship Loaders Stockers and Order Fillers Aircraft Cargo Handling Supervisors Weighers, Measurers, Checkers, and Samplers, Recordkeeping Logisticians Transportation, Storage, and Distribution Managers Order Clerks AI task-overlap percentile → ↑ Median pay
Occupations that use Warehouse management system WMS, by AI task-overlap and median pay

Related tools

Other software in the Materials requirements planning logistics and supply chain software category.

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. "Warehouse management system WMS." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/software/warehouse-management-system-wms

APA

Singulariki. (2026). Warehouse management system WMS. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/software/warehouse-management-system-wms

BibTeX 
@misc{singulariki-warehouse-management-system-wms,
  title  = {Warehouse management system WMS},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/software/warehouse-management-system-wms}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.