Merchandising and allocation

ISCO-08 2431, 3323

Merchandiser, Allocation analyst, Merchandise planner, Replenishment analyst, Assortment manager

AI exposure47%

Headcount need, in FTE

Exposure range

Your current headcount

FTE

Need in 203087 FTE-13 FTE (-13%)

Need in 203574 FTE-26 FTE (-26%)

How AI is used on these tasks today

Automation 43%Augmentation 57%

In AI conversations about this job's tasks: the AI does the task itself (automation) or helps the person do it (augmentation).Anthropic Economic Index, April and May 2026. Occupations: Wholesale and Retail Buyers, Except Farm Products, Market Research Analysts and Marketing Specialists. AEI

1. Exposure 47%Average automation potential of the job's tasks. Range for this family: 31 to 64%.ILO occupations used: Advertising and Marketing Professionals (55%), Buyers (39%). ILO data

2. Strategic ceiling 100%Your call: how much of this potential do you want to capture? Nobody can set it for you.

3. Adoption speed midpoint 2030

Inherits your company stance, adjustable for this family.

4. Conversion to headcount sensitive 55%Default 55%: Allocation and replenishment volumes follow the store network and assortment, not analyst capacity, so time saved largely translates into fewer positions.

Target AI skills

level 1 to 4

Foundation

Use AI assistants every day

Frame and phrase a request

Check and challenge AI outputs

Protect data and respect the rules

Applied

Rethink one's process with AI

Analyse data with AI

Produce content with AI

Delegate to and supervise AI agents

Expert

AI governance and risk management

Job skills

Growing in value

Overriding forecasts with market knowledge
Assortment strategy by store cluster
Working with stores on local demand
Managing scarce and allocated products

Losing value

Building allocation grids in Excel
Manual weekly sell-through analysis
Calculating replenishment quantities
Formatting weekly business reviews

How the job will change

Initial allocation, replenishment proposals, sell-through analysis and weekly reviews are the tasks AI absorbs first. Forecasting and allocation engines already compute quantities per store and size; assistants now write the commentary on what sold and suggest transfers between stores. The analyst who spent Monday building the grid will validate one instead.

The job moves towards the exceptions: launches, limited editions, products under allocation, stores with atypical clienteles. A good merchandiser tomorrow will know when to override the model and argue it, understand each store's clientele, and supervise automated replenishment rather than calculate it.

2026-2027: Assistants write sales commentary; forecasting engines propose allocations.
2028-2030: Replenishment largely automated; teams handle exceptions and launches.
2031+: Fewer allocators, more assortment strategists working with stores.

Watch out

Junior allocator posts, the usual entry point, are the first to shrink. Without them, companies will struggle to grow merchandisers who can judge when the model is wrong. See the seniority outlook below.

What if you hired fewer juniors?

Your 2036 seniors are the juniors you hire today.

Seniors available in 2036-10%2 FTE short

Gap above 5% from2031

Your seniority mix today

Juniors (0 to 2 yrs in the profession)35%Seniors (6+ yrs)20%

Mid-level (2 to 6 yrs in the profession, the remainder)45%

Cut in junior hiring -40%

For

Advanced settings

Juniors promoted each year33%Juniors leaving each year15%Senior gap filled by external hiring0%If every company makes the same bet, senior profiles will be scarce and expensive.

Seniority mix, % of today's headcount

Juniors35%Mid-level42%Seniors18%

2026 2036

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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.

Public researchExposureAverage automation potential of the job's tasks, from the ILO's 2025 task-level scores.

Your decisionStrategic ceilingHow much of that potential you choose to capture. Your decision, not ours.

Your companyAdoption speedHow fast your company moves, set once for the whole company.

Job family defaultConversion to headcountHow much of the productivity gain becomes fewer people rather than more output.

Headcount effect

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.