How Siemens Improved Project Forecasting Accuracy by 30% and Bottleneck Resolution by 20% with AI

Siemens trained machine learning models on over 10 years of project data to forecast timelines and optimize resource allocation, identifying bottlenecks 4-6 weeks in advance. AI also supports predictive maintenance to minimize downtime and increase productivity.

Project delays and equipment failures due to poor forecasting and maintenance practices impacted efficiency.

Deployed ML models for timeline forecasting and resource optimization; implemented predictive maintenance AI analyzing machine data for early failure detection.