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