Processes

Manage demand for products and services

How manage demand for products and services are reshaped as AGI capability advances.

ProcessesManage demand for products and services
Manage demand for products and services — illustrated

The bottom line

Roughly 90% of the work in Manage demand for products and services is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.

Why: Because no child occupations are seeded for this composite, the scalar is derived entirely from the process description. Activities like 'forecasting demand', conducting 'secondary research', and determining model 'accuracy' represent purely analytical information-processing, placing this work firmly in the digital band.

grounded in the economy graph · digital scalar 0.90 · digital

Business-as-Code

Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.

Manage demand for products and services sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Manage demand for products and services inherits.

Where Manage demand for products and services sits

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How the work flows

Trigger: A periodic planning cycle initiates or significant market signals prompt a review of anticipated customer volume and product needs.

  1. Collect secondary market research and direct customer feedback.
  2. Develop initial baseline forecasts for products and services.
  3. Refine forecasts by applying market variables, seasonality, and constraints.
  4. Publish demand plans to resource planning and supply chain teams.
  5. Compare actual sales and utilization against forecasted demand.
  6. Evaluate and calibrate the forecasting approach based on accuracy metrics.

Outcome: Finalized demand forecasts are distributed to operational teams and the forecasting methodology is evaluated for accuracy.

Measured by

Forecast AccuracyMean Absolute Percent ErrorForecast Generation Cycle TimeForecast Bias