S&OP, Demand Planning & Forecasting worked example

Forecast Accuracy Improvement Value at 99% target forecast accuracy attainment rate: a worked example

This scenario runs the forecast accuracy improvement value calculation on the strong side: 99% target forecast accuracy attainment rate, with every other input held at its documented default. Use it when forecast accuracy improvement value in s and op, demand planning and forecasting needs a clean rate and gap-to-target you can put on a tier board.

The inputs for this scenario

  • SKUs meeting the accuracy target: 8 count (unchanged)
  • Total SKUs in the forecast portfolio: 250 count (unchanged)
  • Target forecast accuracy attainment rate: 99 % (raised for this scenario; the documented default is 95)

Working through the calculation

  • Applying the documented formula (Forecast accuracy improvement value rate = forecast accuracy improvement value count ÷ total forecast accuracy improvement value population × 100) to the inputs above produces each figure below.
  • At this operating point the engine returns 3.2 % for forecast accuracy improvement value rate, the number this scenario is built around.
  • At this operating point the engine returns 95.8 points for forecast accuracy improvement value gap to target.
  • At this operating point the engine returns 8 count for forecast accuracy improvement value count.
  • At this operating point the engine returns 250 count for total forecast accuracy improvement value population.

How this compares with the baseline

  • Against the tool's baseline example, where target forecast accuracy attainment rate sits at 95% and the headline result is 3.2 %, this scenario lands almost exactly on the baseline at 3.2 %.
  • Use it in monthly forecast review to track how much of the portfolio is meeting accuracy standards and to quantify the distance to a stretch goal. Treat this as a target state: the delta against the baseline quantifies what the improvement is worth before you commit to chasing it.

Results at a glance

  • Forecast accuracy improvement value rate: 3.2 % (headline result)
  • Forecast accuracy improvement value gap to target: 95.8 points
  • Forecast accuracy improvement value count: 8 count
  • Total forecast accuracy improvement value population: 250 count

Run it with your numbers

  • Every input above is editable in the live Forecast Accuracy Improvement Value calculator, which recalculates instantly and can be shared with the inputs intact.

Last reviewed 2026-05-12.