North American Auto Parts Manufacturer Saves $10M Annually with Demand.ai

AI and ML-based demand forecasting and sensing solution, improved forecast accuracy and reduced inventory holding cost.

Project Overview

Region

USA

Industry

Automotive

Challenges

  • Forecast accuracy for new product launches was 17%
  • Excess inventory worth millions of dollars
  • Dealer sales data does not represent actual demand

Results

  • 50% reduction demand forecasting errors
  • 10% decrease in excess inventory
  • $10 million annual savings

   Download Case Study

Learn how Bristlecone Demand.ai, an AI and ML-powered demand forecasting solution, improved forecast accuracy for new product launches, resulting in $10 million in annual savings.