26 / Case example

Operational demand forecasting

Helps managers plan staffing and capacity using forecasts based on operating history, weather, and facility schedules.

Why it was needed

Operations leaders needed a near-term demand estimate that reflected more than last year’s average.

Reporting & analytics

What changed

The pipeline combines operating history with weather, air quality, holidays, school calendars, facility schedules, and day-of-week behavior, then shows the factors and manual adjustments behind the forecast.

Key requirements

The forecast shows which days have enough history and which depend more heavily on weather, holidays, school calendars, pool schedules, or a manager’s adjustment. Missing data and unusual events remain visible, and a revised forecast never hides the assumptions that changed it.

Main features

  1. Combine historical operations data
  2. Integrate weather and air quality
  3. Apply school and holiday calendars
  4. Include schedule constraints
  5. Show the data and adjustments behind forecasts

Result

Gave managers forecasts with the supporting data and adjustments available for review.
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