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How to build a Kraljic Matrix in Excel?


This article provides a detailed response to: How to build a Kraljic Matrix in Excel? For a comprehensive understanding of Supply Chain Management, we also include relevant case studies for further reading and links to Supply Chain Management best practice resources.

TLDR Build a Kraljic Matrix in Excel by setting up a grid, collecting data, plotting items, and developing tailored procurement strategies for each quadrant.

Reading time: 4 minutes


Creating a Kraljic Matrix in Excel is a strategic move for any organization looking to optimize its procurement strategy. This framework, developed by Peter Kraljic in a 1983 Harvard Business Review article, has been a cornerstone for consulting firms advising on supply chain management. Its purpose is to help organizations categorize their purchasing portfolio into four quadrants—strategic, leverage, bottleneck, and non-critical—based on two dimensions: supply risk and the importance of purchasing. This categorization enables organizations to develop tailored strategies for different types of purchases, from securing critical supplies to minimizing costs and risks.

The first step in how to create a Kraljic Matrix in Excel involves setting up the framework. Start by opening a new Excel spreadsheet and creating a two-dimensional grid. Label one axis "Supply Risk" and the other "Importance of Purchasing." Supply Risk assesses the complexity of the market and the scarcity of the supply base, while Importance of Purchasing evaluates the impact of the purchase on the organization's financial performance and operational capabilities. These axes are typically graded on a scale from low to high. Next, divide the grid into four quadrants and label them: Strategic, Leverage, Bottleneck, and Non-critical. This template serves as the foundation for your matrix.

Once the framework is established, the next phase involves data collection and analysis. Organizations need to evaluate each item or supplier against the two dimensions. This can be a complex process, requiring data on supplier reliability, market volatility, spend analysis, and the criticality of each item to the organization's operations. Tools like weighted scoring models can be useful here, assigning scores to different criteria and calculating an overall score for each dimension. Input these scores into your Excel spreadsheet, plotting each item or supplier on the grid based on their scores. The position of each point within the matrix highlights its categorization and informs the procurement strategy.

The final step in leveraging the Kraljic Matrix is strategy development. Each quadrant of the matrix suggests a different procurement strategy. For items in the Strategic quadrant, organizations might focus on building strong relationships with suppliers, investing in joint development projects, or exploring alternative materials. For Leverage items, the strategy could involve bulk purchasing to achieve cost savings or using competitive bidding to ensure the best price. Bottleneck items might require strategies to reduce dependency through inventory management or finding alternative suppliers. Non-critical items often lead to a focus on process efficiency, such as automating orders to reduce administrative costs. Document these strategies in your Excel spreadsheet, linking each item or supplier with a tailored action plan.

Real-World Examples and Best Practices

In practice, leading organizations leverage the Kraljic Matrix to navigate supply chain challenges and enhance procurement efficiency. For instance, a global manufacturing company might use the matrix to identify critical components that are at high risk of supply disruption and develop strategies to secure alternative sources or invest in supplier capacity building. This proactive approach can mitigate risks and ensure continuity of operations.

Consulting firms often advise on best practices for implementing the Kraljic Matrix effectively. One key recommendation is to continuously update the matrix to reflect changes in the market environment and the organization's strategic priorities. This dynamic approach ensures that procurement strategies remain aligned with current risks and opportunities. Additionally, integrating the Kraljic Matrix with other supply chain management tools, such as demand forecasting and supplier performance management, can provide a more comprehensive view of procurement risks and opportunities.

Another best practice is to engage cross-functional teams in the development and implementation of the Kraljic Matrix. This collaborative approach ensures that different perspectives are considered, from finance and operations to research and development, enhancing the accuracy of the categorization and the effectiveness of the resulting strategies. By fostering a culture of collaboration and strategic thinking, organizations can maximize the benefits of the Kraljic Matrix and drive procurement excellence.

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Conclusion

In conclusion, creating a Kraljic Matrix in Excel is a strategic exercise that requires careful planning, data analysis, and strategy development. By categorizing purchases based on supply risk and importance, organizations can tailor their procurement strategies to manage risks, optimize costs, and ensure supply continuity. Real-world examples and best practices highlight the value of this framework in enhancing procurement efficiency and resilience. As organizations face increasingly complex supply chain challenges, the Kraljic Matrix remains a powerful tool for strategic procurement management.

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Best Practices in Supply Chain Management

Here are best practices relevant to Supply Chain Management from the Flevy Marketplace. View all our Supply Chain Management materials here.

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Explore all of our best practices in: Supply Chain Management

Supply Chain Management Case Studies

For a practical understanding of Supply Chain Management, take a look at these case studies.

Supply Chain Resilience and Efficiency Initiative for Global FMCG Corporation

Scenario: A multinational FMCG company has observed dwindling profit margins over the last two years.

Read Full Case Study

Strategic Supply Chain Redesign for Electronics Manufacturer

Scenario: A leading electronics manufacturer in North America has been grappling with increasing lead times and inventory costs.

Read Full Case Study

Omni-Channel Strategy for Electronics Retailer in North America

Scenario: The organization, a leading electronics and appliance store in North America, is facing significant challenges in its supply chain efficiencies.

Read Full Case Study

End-to-End Supply Chain Analysis for Multinational Retail Organization

Scenario: Operating in the highly competitive retail sector, a multinational organization faced challenges due to inefficient Supply Chain Management.

Read Full Case Study

Inventory Management Enhancement for Luxury Retailer in Competitive Market

Scenario: The organization in question operates within the luxury retail sector, facing inventory misalignment with market demand.

Read Full Case Study

Telecom Supply Chain Efficiency Study in Competitive Market

Scenario: The organization in question operates within the highly competitive telecom industry, facing challenges in managing its complex supply chain.

Read Full Case Study

Explore all Flevy Management Case Studies

Related Questions

Here are our additional questions you may be interested in.

In what ways can companies leverage AI and machine learning to enhance supply chain decision-making?
Leveraging AI and ML in Supply Chain Decision-Making enhances Forecasting Accuracy, improves Supply Chain Visibility and Risk Management, and optimizes Inventory Management and Logistics, driving Operational Excellence and competitive advantage. [Read full explanation]
How can advanced analytics and AI be leveraged to predict Supply Chain disruptions?
Advanced Analytics and AI transform Supply Chain Management by enabling predictive insights, optimizing operations, and enhancing real-time visibility to mitigate disruptions and secure a competitive edge. [Read full explanation]
How are companies leveraging machine learning to optimize inventory management and demand forecasting?
Companies are leveraging Machine Learning to significantly enhance Inventory Management and Demand Forecasting, achieving greater accuracy, efficiency, and agility, thereby reducing costs and improving market responsiveness. [Read full explanation]
How can companies effectively integrate ESG (Environmental, Social, and Governance) criteria into their Supply Chain decision-making processes?
Companies can effectively integrate ESG criteria into Supply Chain decision-making by assessing and setting baselines, engaging suppliers, leveraging technology and innovation, and fostering a sustainability culture to achieve long-term sustainability and resilience. [Read full explanation]
In what ways can Supply Chain leaders leverage big data and analytics for more accurate demand forecasting?
Supply Chain leaders can enhance demand forecasting accuracy and operational efficiency by leveraging Big Data and Analytics, integrating advanced analytics for pattern identification, and utilizing real-time data for responsive management. [Read full explanation]
How do geopolitical tensions impact global supply chains, and what strategies can mitigate these risks?
Geopolitical tensions disrupt global supply chains by increasing costs and causing delays; strategies like Diversification, Digital Transformation, and Strategic Planning can mitigate these risks. [Read full explanation]

Source: Executive Q&A: Supply Chain Management Questions, Flevy Management Insights, 2024


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