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JOB REPORT / 53-7065 · 30 TASKS

Stockers and Order Fillers.

Can AI do the work of Stockers and Order Fillers?

Mostly it works alongside you. Here is what shifts, task by task.

YOUR EXPERIENCE MATTERS

How does this fit your work?

How many tasks do you use AI to assist with at work?

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Starting pointOur estimate

The mark shows what’s typical for this job.

The parts of your job AI can already do most of:

  • Compute prices of items or groups of items
  • Keep records of out-going orders
  • Keep records on the use or damage of stock…

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A guided certificate program in AI-assisted Stockers and Order Fillers work. It covers the 16 AI-affected parts of your job and ends in a capstone a person reviews.

WHAT WE LOOKED AT

Your job, task by task.

16 of 30 tasks reviewed

This job has 30 core tasks. We went through 16 of them, one at a time.

Task by task, from the work Stockers and Order Fillers actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.

  1. TASK 01

    Compute prices of items or groups of items.

    AI DOES

    Calculates totals, applies discounts, and checks price databases instantly

    YOU DO

    Spot unusual pricing errors or handle special customer situations that need a judgment call

  2. TASK 02

    Keep records of out-going orders.

    AI DOES

    Auto-fills order logs, flags missing entries, and formats records in warehouse software

    YOU DO

    Confirm physical orders match the system before closing records

  3. TASK 03

    Keep records on the use or damage of stock or stock-handling equipment.

    AI DOES

    Auto-fills logs, spots usage patterns, and flags unusual damage trends

    YOU DO

    Verify what you actually saw on the floor before logging it

  4. TASK 04

    Complete order receipts.

    AI DOES

    Auto-fills receipt fields, checks quantities against order lists, and flags mismatches

    YOU DO

    Confirm the physical goods actually match what the system says

  5. TASK 05

    Read orders to ascertain catalog numbers, sizes, colors, and quantities of merchandise.

    AI DOES

    Scans and highlights key order details like item numbers, sizes, colors, and quantities

    YOU DO

    Confirm the right physical item is in hand and handle exceptions

  6. TASK 06

    Take inventory or examine merchandise to identify items to be reordered or replenished.

    AI DOES

    Scans inventory records, spots low-stock items, and suggests reorder quantities automatically

    YOU DO

    Walk the floor and verify what's actually on the shelf

  7. TASK 07

    Determine proper storage methods, identification, and stock location, based on turnover, environmental factors, and physical capabilities of facilities.

    AI DOES

    Analyzes turnover rates and suggests storage locations based on data patterns

    YOU DO

    Walk the floor and judge real space, weight limits, and daily conditions yourself

  8. TASK 08

    Recommend disposal of excess, defective, or obsolete stock.

    AI DOES

    Scans inventory records and flags old, slow-moving, or defective items with suggested actions

    YOU DO

    Physically check items and use workplace knowledge to decide what actually gets tossed, returned, or donated

  9. TASK 09

    Requisition merchandise from supplier, based on available space, merchandise on hand, customer demand, or advertised specials.

    AI DOES

    Analyzes sales trends and suggests order amounts based on demand and inventory data

    YOU DO

    Walk the floor and judge real shelf space, spoilage, and store-specific conditions before placing the order

  10. TASK 10

    Receive and count stock items, and record data manually or on computer.

    AI DOES

    Auto-fills item records, flags count errors, and suggests reorder levels

    YOU DO

    Physically count, inspect, and verify each item in the real world

  11. TASK 11

    Design and set up advertising signs and displays of merchandise on shelves, counters, or tables to attract customers and promote sales.

    AI DOES

    Suggests display layouts, generates sign text, and recommends product placement ideas

    YOU DO

    Physically build and arrange the actual displays in the real store space

  12. TASK 12

    Compare merchandise invoices to items actually received to ensure that shipments are correct.

    AI DOES

    Scans and compares invoice data to logged receiving records to spot number differences fast

    YOU DO

    Physically count and inspect actual items on the dock or shelf

  13. TASK 13

    Issue or distribute materials, products, parts, and supplies to customers or coworkers, based on information from incoming requisitions.

    AI DOES

    Reads and sorts digital requisitions, flags errors, and suggests efficient pick routes

    YOU DO

    Physically locate, carry, and deliver the right items to the right people

  14. TASK 14

    Stock shelves, racks, cases, bins, and tables with new or transferred merchandise.

    AI DOES

    Helps plan stocking routes or inventory lists on a screen

    YOU DO

    Physically handle, move, and place real products in the right spots

  15. TASK 15

    Mark stock items, using identification tags, stamps, electric marking tools, or other labeling equipment.

    AI DOES

    Guides label placement rules or helps set up label templates on connected systems

    YOU DO

    Physically pick up and mark each item in the real world

  16. TASK 16SOURCE-BACKED TASK

    Answer customers' questions about merchandise and advise customers on merchandise selection.

    AI DOES

    Suggests products based on customer preferences

    YOU DO

    Read needs and build personal trust

    About this analysis

    0% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

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Data sources and attribution

This page includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. rtwoai has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.

Wage and employment figures are from the U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (2025). Job outlook is from the BLS Employment Projections program, 2024–34. BLS data are in the public domain. BLS has not reviewed or endorsed this page.

Task collaboration data is from the Anthropic Economic Index, release 2025-03-27, used under the CC BY 4.0 license. Anthropic has not reviewed or endorsed this page.

How we describe AI use in each task is our own characterization, not a measurement of whether AI can replace this job. Microsoft note that their metrics "should not be misconstrued or misrepresented as measuring the ability of AI to replace jobs," and that there is more to an occupation than the sum of its tasks.