Predicting Future Demand

In the automotive industry, a wrong bet on portfolio planning can result in billion dollar losses.

To mitigate risk, we pinpointed the macro drivers of vehicle segment share. Pulling from hundreds of data types, an elaborate simulator was designed to predict future demand three years out across all scenarios.

Variable factors such as population density, disposable income, commodity pricing and GDP growth led to this first-time endeavor giving way to smarter decision-making

With buy-in from finance, marketing, product planning, engineering and innovation teams, a more objective, data-driven strategy incorporates new discipline—and confidence—for future portfolio decisions.