Establishing KPIs for supply chain processes:

• Define key performance indicators aligned with business objectives
• Monitor KPIs to drive continuous improvement and strategic decision-making

Rollout of performance steering concepts:

• Implement frameworks for tracking and steering supply chain performance
• Provide guidance and support for effective performance management
• Foster a culture of accountability and data-driven decision-making

Implementing data-driven decision-making frameworks:

• Integrate data analytics into supply chain processes
• Develop frameworks for leveraging data to make informed decisions

Utilizing analytics and providing tools for supply chain forecasting and trend analysis:

• Utilize advanced analytics tools to forecast demand and identify trends
• Implement predictive modeling techniques for accurate forecasting
• Provide access to tools and dashboards for visualizing data and insights

Business process automation of operational supply chain processes (e.g. RPA, Process/Task Mining):

• Automate repetitive tasks and processes within the supply chain
• Implement Robotic Process Automation (RPA) to streamline operations
• Utilize Process and Task Mining techniques to identify opportunities for automation and efficiency gains