Production planning reimagined: Enhanced efficiency and accuracy through AI and data analytics

More realistic process times and reliable delivery dates with predictive planning and AI-driven insights

Traditional production planning often relies on static master data and forward-looking projections—particularly in areas like capacity and order scheduling. Yet, historical production data holds untapped potential that can be unlocked with modern technologies.

A “connected shop floor” provides the essential data foundation for leveraging artificial intelligence and advanced analytics. By identifying patterns in past production processes, AI enables more accurate predictions of dynamic process times and helps assess the reliability of existing plans. This leads to more agile scheduling and long-term improvements in delivery performance.

With GANTTPLAN, this data-driven intelligence is seamlessly integrated into production planning. Early use cases demonstrate that AI models trained on historical data can forecast process durations with significantly greater precision. The result: fewer short-term rescheduling needs, improved forecast accuracy, and measurable efficiency gains. Companies benefit not only from reduced costs but also from increased customer satisfaction thanks to more dependable delivery commitments.

Ferdinand Suhle,

Data Scientist bei DUALIS