Developing a Comprehensive Metrics Framework for Supply Chain Management in E-Pharma
In today’s highly competitive healthcare and pharmaceutical landscape, effective supply chain management (SCM) is crucial for ensuring timely delivery, cost efficiency, and customer satisfaction. For e-pharma companies, where inventory accuracy and procurement agility are paramount, establishing a robust metrics framework can significantly enhance decision-making and operational transparency.
The Need for a Holistic Metrics System
A well-designed set of metrics serves as the backbone of strategic and operational oversight. Particularly for companies focusing on procurement and warehousing, a comprehensive metrics package should encompass key performance indicators (KPIs) across various dimensions—business performance, product management, and operational efficiency.
By integrating these metrics into a unified dashboard, organizations can foster transparency and enable data-driven decisions at all levels. From executive leadership devising quarterly OKRs to procurement and warehouse teams optimizing their daily workflows, everyone benefits from a single source of truth.
Designing a Metrics Package for SCM in E-Pharma
When building such a metrics framework, consider including the following categories:
- Business Metrics
- Cost of Goods Sold (COGS): Monitoring procurement costs relative to sales.
- Inventory Turnover Ratio: Frequency of inventory replenishment within a period.
- Order Fulfillment Rate: Percentage of orders completed on time.
- Supplier Lead Time: Average time taken by suppliers to fulfill orders.
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Procurement Cycle Time: Total duration from purchase requisition to order placement.
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Product Metrics
- Stock Availability Rate: Percentage of products available when requested.
- Expiry and Waste Metrics: Tracking expired or wasted medicines to optimize inventory.
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SKU Performance: Sales volume and turnover rates per product category.
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Operational Metrics
- Warehouse Accuracy: Discrepancies between recorded and actual inventory levels.
- Picking and Packing Efficiency: Time taken per order or batch.
- Return and Rejection Rates: Frequency of product returns or rejections due to damage or batch issues.
- Lead Time Variability: Fluctuations in supply chain responsiveness.
Implementing and Utilizing the Metrics
Once the metrics are defined, the next step is to establish data collection and visualization processes. Modern dashboard tools can help automate the aggregation of these KPIs, providing real-time insights accessible across departments. Regular


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