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Forecast Accuracy · Consumer Goods

Rebuilding the forecasting foundation

Replaced spreadsheet-based forecasting with a governed, ML-supported forecasting process.

The business challenge

Forecast ownership was distributed and accuracy was rarely measured consistently.

The opportunity

Establish one measured forecast with clear accountability.

The approach

Baselined accuracy, then layered statistical and ML models with human override logic.

The solution

A governed forecasting process supported by a transparent model stack.

The adoption

Planners retained control; the system earned trust incrementally.

The outcome

Forecast accuracy — placeholder. Specific figures to be added once client approval is received.

The lesson

Planners adopt models they can interrogate.

Placeholder content — client names, figures and outcomes are indicative and will be replaced with approved details.

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Business first. Technology follows. Outcomes always.