A global auto manufacturer lower inventory costs for repair and after-market parts to lower the reliance on domain experts and to increase forecasting flexibility. They enlisted dotData to automate the process and identify key predictive patterns through predictive analytics :
- See how they identified $10M in annual savings
- Learn how they leveraged AI Automation.
- Read how 200,000+ parts were impacted.
Download our complimentary case study today.
Download The Retail
Note that all fields are required. Your case study will be emailed immediately.