Stockroom and in-store inventory
ISCO-08 4321, 9334Stockroom associate, Stock controller, Stockroom manager, Logistics associate (store), Shelf replenishment associate
Headcount need, in FTE
Target AI skills
level 1 to 4Job skills
Growing in value
- Handling stock discrepancies and exceptions
- Preparing click-and-collect and ship-from-store orders
- Using handheld scanners and RFID tools
- Versatility between stockroom and sales floor
Losing value
- Manual inventory counts
- Paper reception checks against delivery notes
- Searching the stockroom for items
How the job will change
Receiving, storing, replenishing the floor and preparing online orders remain physical tasks. What changes is the information around them: RFID and handheld terminals make counts near automatic, replenishment tools tell staff what to bring out and when, and anomaly detection points to likely discrepancies instead of a full stocktake.
The job becomes more versatile and more tied to omnichannel service. A good stockroom associate tomorrow will handle the exceptions the system flags, prepare a growing share of click-and-collect and ship-from-store orders, and move easily between the back room and the sales floor during peaks.
- 2026-2027
- RFID counts and replenishment suggestions on handheld terminals.
- 2028-2030
- Full stocktakes replaced by targeted anomaly checks.
- 2031+
- Fewer dedicated stockroom roles, more hybrid store logistics profiles.
Gains come from RFID and store systems as much as from AI, and they reduce hours rather than posts. Part-time contracts and hybrid roles need planning before the tools arrive. See the seniority outlook below.
What if you hired fewer juniors?
Your 2036 seniors are the juniors you hire today.
Advanced settings modified
2026 2036
The AI Cookbook 2026
albert's guide to cut through the noise around generative AI and turn it into workforce decisions.
- What AI actually changes in jobs and skills
- Why the junior pipeline matters more than most companies realise
- How to integrate AI into workforce planning

Run these scenarios on your actual workforce
AI Impact Diagnostic: 6 to 8 weeks, your data in albert, three costed scenarios and the projected seniority mix for each job family.
How the numbers are built
Every headcount figure combines four assumptions. Three come pre-filled from public research and job family defaults. The strategic ceiling is yours to set.
Seniority outlook
A flow model with three levels of experience in the profession. Promotion and exit rates are set so that today's mix stays stable when hiring does not change: any gap you see comes from the junior hiring cut alone.
Sources
- International Labour OrganizationGenerative AI and jobs: a refined global index of occupational exposure (2025)
- ILO datasetTask-level GenAI exposure scores by ISCO-08 occupation
- AnthropicAnthropic Economic Index (June 2026 release, April and May 2026 usage data)
- Stanford Digital Economy LabCanaries in the Coal Mine? Six facts about the recent employment effects of AI