AI-optimized capacity planning for manual manufacturing

The challenge: A provider of premium, individualized products faced a significant hurdle in their manual, single-station production process: a total lack of transparency. Without digital tracking, it was nearly impossible to provide customers with accurate delivery dates or to see the real-time completion status of an order. Planning was a manual, high-effort task that struggled to account for fluctuating factors like employee absences or material shortages, leading to extended lead times and underutilized resources.

The solution: Susi & James implemented a process control & optimization system that brings digital intelligence to manual craftsmanship. The system creates a data-driven production environment by:

• • Digital process recording: Every step of the manual production chain is digitally captured, feeding into a live production dashboard that displays the exact completion status of every individual product in real-time.
• • Dynamic AI forecasting: The AI calculates a reliable completion date for each product by analyzing a multitude of live influencing factors, including material availability, current workshop load, and even employee attendance.
• • Automated capacity optimization: Instead of manual scheduling, the AI creates an optimized production plan that automatically assigns resources where they are most effective, ensuring the highest possible throughput.
• • Proactive constraint management: The system identifies potential bottlenecks before they occur, allowing management to reallocate staff or materials to keep production on track.

The result: A leaner value-creation process with significantly reduced planning effort. By lowering overall lead times and providing reliable delivery dates, the company has seen a marked increase in customer trust and employee morale. The transition from "opaque manual work" to "transparent AI-guided production" ensures that premium products are delivered with the same level of precision used to build them.