Concept demo made by Nexibeo. This product does not exist yet. Co-create it with us
Support demand planning toolGet a free sample

For Workforce planners at seasonal online retailers

Transparent event assumptions and error tracking for support-specific planning.

For workforce planners at seasonal online retailers, turn historical ticket counts, campaign dates and staffing capacity into demand scenarios and staffing recommendations.

Start a pilotHow it works

The problem

Staffing plans ignore launches and seasonal ticket spikes.

What you get

Demand scenarios and staffing recommendations.

Historical ticket counts, campaign dates and staffing capacity in, reviewed results out. People check what the AI drafts before anything reaches you.

Features

Everything the job needs, nothing it doesn't.

01Import volume history
02Flag missing periods
03Model seasonal patterns
04Add event assumptions
05Compare capacity scenarios
06Backtest forecasts

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 historical forecast backtest using customer data.

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.