SKU Rationalization

Related KPIs

SKU Rationalization Interpretation

High SKU rationalization values indicate a streamlined product portfolio, reflecting effective cost control and operational efficiency. Conversely, low values may suggest overstocking or a lack of focus on high-performing items. Ideal targets typically involve a balanced SKU count that meets customer needs without excess inventory.

• High SKU count – Potential for inefficiencies; review product performance
• Moderate SKU count – Balanced approach; aligns with market demand
• Low SKU count – Risk of stockouts; ensure product availability

Common Pitfalls

Many organizations overlook the importance of regular SKU reviews, leading to bloated inventories and missed opportunities for cost savings.

• Failing to analyze sales data can result in retaining underperforming SKUs. Without data-driven decision-making, companies may continue to invest in products that do not contribute to profitability.
• Neglecting to involve cross-functional teams in the SKU rationalization process can lead to misalignment. Different departments may have varying perspectives on product importance, causing friction and inefficiencies.
• Overcomplicating the SKU rationalization criteria can hinder effective decision-making. Clear, straightforward metrics are essential for evaluating product performance and making timely adjustments.
• Ignoring customer feedback can result in discontinuing products that still hold value. Engaging with customers ensures that the product portfolio aligns with market needs and preferences.

Improvement Levers

Enhancing SKU rationalization requires a systematic approach to inventory management and product evaluation.

• Implement a robust reporting dashboard to track SKU performance metrics. Regularly reviewing these metrics allows for timely adjustments and informed decision-making.
• Conduct variance analysis on sales trends to identify underperforming SKUs. This quantitative analysis helps prioritize which products to phase out or promote.
• Engage cross-functional teams in SKU reviews to gather diverse insights. Collaboration ensures that all perspectives are considered, enhancing strategic alignment.
• Utilize customer feedback to inform SKU decisions. Understanding customer preferences can guide product offerings and improve overall satisfaction.

SKU Rationalization Case Study Example

A leading consumer electronics company faced challenges with excess inventory and declining margins due to an unwieldy SKU portfolio. Over 2 years, the firm’s SKU count had ballooned to over 1,500, with many products generating minimal revenue. This situation strained resources and complicated supply chain management, leading to increased operational costs and reduced financial health.

To address this, the company initiated a comprehensive SKU rationalization project, led by the CFO and supported by data analytics teams. They analyzed sales data, customer feedback, and market trends to identify low-performing SKUs. The project aimed to reduce the SKU count by 30% while maintaining a focus on high-demand products.

Within 12 months, the company successfully streamlined its portfolio to 1,050 SKUs, resulting in a 25% reduction in inventory carrying costs. The initiative not only improved operational efficiency but also enhanced the company’s ability to respond to market changes. By reallocating resources to high-performing products, the firm saw a 15% increase in overall sales and a significant boost in customer satisfaction.

The SKU rationalization project also fostered a culture of data-driven decision-making across the organization. Teams began to leverage analytical insights regularly, ensuring that future product introductions align with customer demand and market trends. This strategic shift positioned the company for sustainable growth and improved profitability.