Case Study: Heavy Duty Truck Company improves forecast accuracy with Indicio Technologies

How a market leader in the heavy duty truck industry improved forecast accuracy by 57%

The Heavy Duty Truck Company, a market leader in its industry, faced challenges with its Excel-based sales forecasting. This method resulted in low accuracy and an inability to detect market trend shifts, which hindered production capacity planning. To address this, they partnered with Indicio Technologies to improve their process.

Indicio implemented a solution that involved identifying seasonal patterns and the manufacturer-specific leading indicators using a Lasso model. They then built and weighted a large number of multivariate econometric forecast models into one optimal forecast. This approach provided a 57.7% improvement in forecast accuracy, enabled the detection of market shifts 1-2 months earlier, and established a globally aligned, structured forecasting process for the customer.