Case Study: Global Wireless Carrier Company improves forecast accuracy and inventory savings with Prevedere

Global Wireless Carrier Company - Customer Case Study

The global wireless carrier company faced the challenge of highly dynamic demand for mobile phones, which resulted in missed revenue targets and made resource allocation risky. Their goal was to identify leading indicators for sales and optimal locations for new cellular towers. To address this, they partnered with Prevedere and its AI/ML solution to integrate external data insights into their planning process and create more accurate forecasts.

Prevedere implemented its predictive modeling to scrutinize billions of data points, identifying key external indicators like manufacturing earnings and consumer sentiment. This strategy yielded a highly accurate 12-month sales forecast of 97.9% and led to substantial operational savings for the company. As a result of working with Prevedere, the carrier achieved an estimated 50% reduction in data gathering time and saved $6 million in inventory costs by optimizing device placement.