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Office & Administration · Updated Aug 2026

Shipping, Receiving, and Inventory Clerks

Verify and maintain records on incoming and outgoing shipments involving inventory. Duties include verifying and recording incoming merchandise or material and arranging for the transportation of products. May prepare items for shipment.

JVS 2.0.0-phase4b
AI Exposure
69/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
52/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence85/100
Task coverage92%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Prepare documents, such as work orders, bills of lading, or shipping orders, to route materials.High
75
Pack, seal, label, or affix postage to prepare materials for shipping, using hand tools, power tools, or postage meter.High
72
Deliver or route materials to departments using handtruck, conveyor, or sorting bins.Medium
75
Record shipment data, such as weight, charges, space availability, damages, or discrepancies, for reporting, accounting, or recordkeeping purposes.Medium
73
Requisition and store shipping materials and supplies to maintain inventory of stock.High
75
Determine shipping methods, routes, or rates for materials to be shipped.Medium
73
Compute amounts, such as space available, shipping, storage, or demurrage charges, using computer or price list.Medium
72
Confer or correspond with establishment representatives to rectify problems, such as damages, shortages, or nonconformance to specifications.Medium
75
Compare shipping routes or methods to determine which have the least environmental impact.Medium
73
Examine shipment contents and compare with records, such as manifests, invoices, or orders, to verify accuracy.High
37
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Prepare documents, such as work orders, bills of lading, or shipping orders, to route materials.75
  2. Deliver or route materials to departments using handtruck, conveyor, or sorting bins.75
  3. Requisition and store shipping materials and supplies to maintain inventory of stock.75
  4. Confer or correspond with establishment representatives to rectify problems, such as damages, shortages, or nonconformance to specifications.75
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Examine shipment contents and compare with records, such as manifests, invoices, or orders, to verify accuracy.01
  2. Prepare documents, such as work orders, bills of lading, or shipping orders, to route materials.02
  3. Pack, seal, label, or affix postage to prepare materials for shipping, using hand tools, power tools, or postage meter.03
  4. Deliver or route materials to departments using handtruck, conveyor, or sorting bins.04
  5. Record shipment data, such as weight, charges, space availability, damages, or discrepancies, for reporting, accounting, or recordkeeping purposes.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency81
Physical dependency56
Adoption pressure54
Labour-market resilience61
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence85/100
CalculatedAug 21, 2026
Read methodology →