Case study - How a tier-1 market leader in the heavy trucks industry improved their forecast accuracy by 57%

Their challenges

Lack of accurate forecasting

Their Excel-based forecasting methodology resulted in low forecast accuracy and an inability to detect trend shifts.

This subsequently hindered them from optimizing capacity planning.

Aligning forecasting globally

There was a requirement to extend forecasting coverage to more markets for both demand and production needs. Due to a heavy reliance on a scarce team covering multiple markets globally, this was not possible.

Meet market shifts

They needed to have the data to adapt production capacity efficiently and ahead of time to meet market turns and shifts, and to date, this was not possible.

Key results

Saw a +57.72% forecast accuracy improvement

Continuous forecasting minimized error margin over a year.

Identified new & stronger leading indicators

They were now able to identify the indicators that were relevant to their production numbers.

Achieved a structured process for all markets

Established process that enabled and aligned all teams with one source of truth.

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How a market leader in the commercial trucks industry improved their forecast accuracy by 57%.