Shipping, Receiving, and Inventory Clerks: daily tasks & AI impact
This page breaks Shipping, Receiving, and Inventory Clerks into the top 11 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 60/100 (Moderate automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.
High-automation exposure
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Durable human work
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.
| Task | Importance | AI probability | Nature |
|---|---|---|---|
| Examine shipment contents and compare with records, such as manifests, invoices, or orders, to verify accuracy. Core | 4.22 | — | — |
| Requisition and store shipping materials and supplies to maintain inventory of stock. Core | 4.05 | — | — |
| Prepare documents, such as work orders, bills of lading, or shipping orders, to route materials. Core | 4.05 | — | — |
| Pack, seal, label, or affix postage to prepare materials for shipping, using hand tools, power tools, or postage meter. Core | 4 | — | — |
| Record shipment data, such as weight, charges, space availability, damages, or discrepancies, for reporting, accounting, or recordkeeping purposes. Core | 3.96 | — | — |
| Confer or correspond with establishment representatives to rectify problems, such as damages, shortages, or nonconformance to specifications. Core | 3.95 | — | — |
| Deliver or route materials to departments using handtruck, conveyor, or sorting bins. Core | 3.88 | — | — |
| Contact carrier representatives to make arrangements or to issue instructions for shipping and delivery of materials. Core | 3.81 | — | — |
| Determine shipping methods, routes, or rates for materials to be shipped. Core | 3.78 | — | — |
| Compute amounts, such as space available, shipping, storage, or demurrage charges, using computer or price list. Core | 3.73 | — | — |
| Compare shipping routes or methods to determine which have the least environmental impact. Supplemental | 3.68 | — | — |
What remains human
No tasks currently fall under the safe threshold for this occupation.
FAQ
Which Shipping, Receiving, and Inventory Clerks tasks are most exposed to AI?
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Which Shipping, Receiving, and Inventory Clerks tasks are safest from Generative AI?
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
How should I read the Shipping, Receiving, and Inventory Clerks task table?
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.