Transportation & Logistics occupation
Will AI replace Stockers And Order Fillers?
See how this occupation’s day-to-day work compares with other jobs in exposure to AI and automation, why it received this result, and where human skills remain essential.
Stockers And Order Fillers
Stockers and Order Fillers · Transportation & Logistics
Higher AI & automation exposure than 37% of jobs we compare.
Exposure index: 37 / 100
This compares the type of work in this job with the work in hundreds of other jobs.
This is a comparison between jobs — not a 37% chance of job loss.
Why did this job get this result?
- Scanning inventory locations, picking items with handheld terminals, and printing pallet labels involve regular digital software use.
- Order picking paths, shelf restocking protocols, and barcode verification follow structured warehouse fulfillment systems.
- Work involves constant walking, reaching, lifting, and carrying merchandise across retail sales floors and fulfillment centers.
- Stockers must identify damaged packaging, confirm expiration dates, and verify product codes on mismatched inventory.
- Coordinating with warehouse leads and answering occasional customer product questions on retail floors require clear communication.
How technology may change this work
Technology and human strengths
What AI & automation may affect
- Automated sorting conveyors and mobile transport units can move inventory containers directly to packing and staging stations.
- Pick-to-light and pick-to-voice systems guide workers directly to item locations and confirm picked quantities automatically.
Human strengths in this job
- Selecting fragile, perishable, or irregularly shaped items carefully to prevent crushing during packing and transport
- Identifying damaged goods, leaking containers, or mislabeled items that automated bin scanners fail to detect
- Restocking retail store shelves neatly and safely while remaining courteous and helpful to nearby shoppers
- Adapting quickly when physical warehouse aisles are blocked, items are out of stock, or inventory counts are inaccurate
How this result breaks down
These are model components, not percentages of the job or of how necessary people are.
How much the job involves information, data, writing, analysis or other digital work that AI and software may help with.
How much of the work follows regular, predictable or repeated steps.
How much of the physical work may be suitable for machines or robotics.
How much the job depends on judgment, creativity, communication and adapting to real situations.
How is the index calculated?
The Exposure Index is a percentile comparing this job's digital, routine, and physical tasks against all 897 occupations in the Model 2.1 dataset. A score of 37 means higher modeled exposure than approximately 37% of comparable jobs.
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What people in this job commonly do
- Take inventory or examine merchandise to identify items to be reordered or replenished.
- Answer customers' questions about merchandise and advise customers on merchandise selection.
- Receive and count stock items, and record data manually or on computer.
- Receive, unload, open, unpack, or issue sales floor merchandise.
- Stock shelves, racks, cases, bins, and tables with new or transferred merchandise.
- Pack and unpack items to be stocked on shelves in stockrooms, warehouses, or storage yards.
How we compare jobs
We look at what people do in hundreds of occupations — including digital work, repeatable activities, physical automation and human skills — then compare the job with other occupations.
What this tool cannot predict
It cannot predict individual job loss, exact technology adoption timing or decisions by an individual employer.
Occupation and data details
O*NET-SOC: 53-7065.00
Career category: Transportation & Logistics
Typical education: High school diploma or equivalent
Data source: O*NET, U.S. Department of Labor.
This product includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Toolsyte has modified and scored some information; USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.