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Supply chain design – creating competitive advantages through perfect control of the supply chain

You will achieve

  • Increased market share through unparalleled customer experience
  • Improved margins through reduced operating costs and value-based pricing
  • Significant improvements in stock turnover
  • Robust supply chain systems that continuously optimize the balance between supply and demand
A flowchart showing internal and external complexity management, digital information flow and planning via a laptop, and internal material flow management with arrows labeled MTA, FLUSS, and MTO leading to a truck.

Representative results

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Customer lead time reduced
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Improved delivery reliability
156 - 284
Contribution margin per ton increased

What we deliver

  • Understanding customer needs and the competitive landscape
  • Differentiated business strategies to leverage improvements in the supply chain
  • SIOP process as a framework for adaptive supply chain execution
  • Detailed implementation plan and practical support during implementation

How we do it

  • Utilization of our in-depth market, process and system know-how and joint implementation in a competitive supply chain concept
  • Use of digital modeling for rapid testing and prioritization of activities to quickly achieve focus and impact
  • Involvement of all stakeholders to ensure approval, knowledge transfer and anchoring of the new supply chain concept

Further solutions

Enabling functions optimization – developing the organization from a cost center and a control body into a value center

Procurement Excellence – changing mindsets and processes to permanently increase the value of procurement

Sales Excellence – improving margin, volume and market share through a value-based approach

Data-Driven Problem Solving – understanding and mastering complex interdependencies based on data

End-to-end process design and implementation – leads to real cost reduction and revenue growth

Process mining and simulation – enables risk-free and realistic simulation of the effects of decision alternatives

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