Watch to learn more about our Detailed Scheduling module.
The detailed planning module ensures the optimal sequencing of production orders, taking into account capacities, setup times, and priorities. Planning takes place on a daily basis so that current changes in demand, availability, or prioritization can be taken into account immediately. It reduces idle time, increases throughput, and enables dynamic adjustment to changing conditions.
In this way, it helps planners avoid bottlenecks, reliably meet deadlines, and sustainably increase overall production efficiency.


The algorithm was developed in collaboration with an FMCG manufacturer to meet the specific requirements of the FMCG and in particular the food and beverage industry. It optimizes planning, taking into account industry-specific requirements and production constraints, and ensures a smooth and efficient workflow.
By balancing key factors, the module helps manufacturers reduce downtime, improve resource utilization and adapt quickly to changing demand.
Reduce inventory levels while maintaining high service levels.
Automated replenishment plans and seamless supplier coordination.
Ensure material availability and accurate packaging requirements planning.
Your AI assistant for data-driven decision-making in supply chain management.
Simulate supply chain “what-if” scenarios quickly and reliably.
Detailed scheduling refers to the daily sequencing of production orders at the machine or line level. It takes into account capacities, setup times, material availability, and priorities to create a realistic and executable production schedule.
While production planning focuses on long-term production requirements, detailed planning optimizes the exact sequence and timing of individual orders on a daily or weekly horizon. It provides operational, detailed control over manufacturing.
Yes. AI-supported detailed planning dynamically adjusts production schedules when machines fail, materials are delayed, or priorities change. This ensures production remains stable even during unexpected events.
Unlike manual planning in Excel, production dependencies are digitized and embedded in an algorithm. This allows for reliable scheduling even during staff changes or absences due to illness.