Case Study.

Inventory reduction and process optimization.

Thanks to targeted measures to reduce stock and optimize processes, the company was able to reduce its stock levels by 45% and increase customer satisfaction.

The Challenge.

Stock levels significantly exceeded the industry standard and benchmarks. The forecast values deviated significantly from the actual sales figures, which led to inefficient warehousing. The product portfolio continued to grow uncontrollably instead of being actively managed. In addition, the requirements of the supply base were not sufficiently linked to operational policy. Another problem was the discrepancy between the minimum order quantities and the minimum delivery quantities, which made warehousing even more difficult.

Special challenges in inventory optimization.

The main objectives were to improve forecasting, reduce stock levels and optimize supply chain processes.

The Benefits.

  • Creation of a master plan for inventory reduction
  • Product clustering: Bleeder, Runner
  • Customer orientation through clustering (A/B/C)
  • Clear responsibilities for roles and responsibilities
  • Improved forecasting and global planning for all product lines
  • Integration of master data and creation of dashboards for quick analyses (single source of truth)
  • Introduction of an online store for spare parts and services
  • Clear agreements on delivery performance
  • Flexible and easily adaptable lean manufacturing
  • Optimization of production sites to reduce throughput times
  • Inventories as a common KPI

The Outcome.

45% reduction in stock

through the implementation of a master plan for portfolio optimization.

Improvement in turnover rate to 6.2

through improved global planning and integration of digital processes.

10% improvement in customer satisfaction

thanks to optimized supplier management processes and increased flexibility.

The Result.

Inventories were significantly reduced and customer satisfaction improved considerably.