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Demand planning workspaceGet a free sample

For Commercial planners at specialist distributors

Versioned assumptions and honest error measurement for planners.

For commercial planners at specialist distributors, turn historical demand, promotions and customer commitments into demand scenarios and assumption history.

Start a pilotHow it works

The problem

Forecasts hide assumptions and cannot explain revisions.

What you get

Demand scenarios and assumption history.

Historical demand, promotions and customer commitments in, reviewed results out. People check what the AI drafts before anything reaches you.

Features

Everything the job needs, nothing it doesn't.

01Validate historical periods
02Model seasonality
03Add promotion assumptions
04Compare demand cases
05Track forecast revisions
06Calculate backtest errors

How it works

From your files to approved results.

Assumption-driven planning and decision workspace.

  1. Validate baseline inputs
  2. Confirm definitions and constraints
  3. Select editable assumptions
  4. Calculate feasible alternatives
  5. Inspect sensitivities
  6. Let the responsible person approve a plan

Free sample

A demand scenario and backtest report.

Test USD 750-3,000 for a scoped planning setup and review, then USD 200-900 monthly for refreshes within agreed complexity. Data integration and optimization are separately scoped. All ranges are hypotheses.

Start a pilot

This is a concept demo. The button goes to Nexibeo, where you can co-create this product.