Case study

How a market leader in the heavy duty truck industry, serving well over 100 international markets, improved their forecast accuracy by 57%.

Download full case study

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.

What was implemented?

An improved forecast process
where each subprocess is intentional towards improving long-term capacity planning

1. Identification of leading indicators

2. Model benchmarking

3. Utilized a smart weighting scheme

4. Took seasonal patterns into consideration

What was the impact?

Achieved a double-digit
MAPE forecast accuracy improvement

Using Indicio, they forecasted the number of registered trucks in Europe weighing over 6 tons, and they achieved a Mean Absolute Percentage Error (MAPE) forecast accuracy improvement,

In comparison to their internal forecasted data, this was a 57.7% forecast accuracy improvement.

They were now able to detect trend shifts on the market1-2 months earlier than before. This gave the manufacturer enough time to adjust production before a trend shift, resulting in significant savings when the market went down and the ability to meet demand when the market went up.

Download case study

Contact us and we'll show you how you can improve your forecast accuracy by 40-60% today.

Whether your goal is to increase market share or safeguard against volatility,
the road to making decisions confidently lies in generating accurate forecasts you can trust.

Let's talk