Case Study: a global automotive company improves sales forecasting and reduces inventory costs with Prevedere

Global Automotive Company - Customer Case Study

A major automotive manufacturer faced the challenge of accurately predicting future vehicle demand by city, which led to costly inefficiencies like excess inventory and dealer reshipments. They partnered with Prevedere to identify geographic leading indicators for their models and incorporate these external insights into their planning process to better forecast sales.

Prevedere implemented its AI/ML and global data solution to build econometric forecast models. The solution identified key external indicators, from consumer sentiment to local economic data, resulting in highly accurate forecasts. The manufacturer achieved a 97.2% average 12-month forecast accuracy, a 75% reduction in data gathering time, and millions in cost savings from reduced inventory. Prevedere's smart dashboard now provides continual updates to inform the company's planning.