Measuring what matters: Supply chain KPIs dashboard using Power BI

An effective supply chain management system ensures that products are delivered to customers on time and in the right condition. This results in higher customer satisfaction levels, which can lead to increased customer loyalty and repeat business. 

A supply chain analysis dashboard can help improve customer satisfaction in several ways:  

1. Real-time tracking of shipments: A supply chain analysis dashboard can provide real-time information about the status of shipments. This helps businesses proactively communicate with customers about any delays or issues, which can reduce frustration and increase transparency.  

2. Faster order processing: Supply chain analysis can help identify bottlenecks in the order processing system. By addressing these issues, businesses can reduce order processing times, which can lead to faster delivery times and higher customer satisfaction. 

3. Improved inventory management: By analyzing supply chain data, businesses can optimize inventory levels to ensure that products are available when customers need them. This can help reduce stockouts and backorders, which can lead to higher customer satisfaction. 

4. Better quality control: Supply chain analysis can help identify quality issues in the supply chain. By addressing these issues, businesses can ensure that products meet customer expectations, which can lead to higher customer satisfaction. 

Key terminologies 

Some of the terminologies and key metrics used in the dashboard are explained below. 

Orders and lines  

An order typically refers to a request by a customer to purchase a specific product or service from a supplier. A line, on the other hand, refers to a specific item on an order. An order can contain one or more lines, depending on the number of products the customer wants to purchase.  

By monitoring orders and lines, businesses can ensure that they are meeting customer demands and managing their inventory effectively. They can also use this information to identify opportunities for cost savings and process improvements. 

Line fill rate & volume fill rate

Line fill rate and volume fill rate are two commonly used performance metrics in supply chain management that help measure the efficiency and effectiveness of the order fulfilment process.  

Line fill rate is a metric that measures the percentage of customer order lines that are fulfilled completely without any backorders or stockouts. 

Volume fill rate, on the other hand, is a metric that measures the percentage of customer order volume that is fulfilled completely without any backorders or stockouts. 

On-time delivery %

On-time delivery % is a measure of the percentage of orders or shipments that are delivered to customers on or before the promised delivery date. A high on-time delivery % indicates that the company is meeting its customers' expectations and delivering products in a timely and efficient manner. 

In-full delivery %  

In-full delivery % is a measure of the percentage of orders or shipments that are delivered to customers complete and without any missing items or damage.  

A low in-full delivery % can result in customer dissatisfaction, lost sales, and decreased revenue. Therefore, it is crucial for companies to monitor their in-full delivery % and continuously improve their delivery processes to ensure accurate and efficient delivery. 

On-time in-full (OTIF) delivery %

On-time in-full (OTIF) delivery % is used to measure the percentage of orders or shipments that are delivered to customers on or before the promised delivery date and complete without any missing items or damage. 

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Here are some of the key features of Inforiver Analytics+* and Matrix used in the dashboard:

• Inforiver Analytics+* offer advanced, integrated KPI cards which allow you to customize the various elements of the card such as variance % and absolute variance and allow you to define formulas using the in-built formula engine. 
• Inforiver Matrix has several inbuilt conditional formatting options which can be applied in a single click. 
• With the top N feature, you can limit the panels on the dashboard and sort them. You can also perform contextual drill-down to further deep dive into the lower hierarchy levels. 
• The variance column chart shows the variance between two measures without writing a single line of DAX code. It helps to understand whether the target is met or not. 

To view the interactive dashboard, visit page. 

*Inforiver Charts has been renamed to Inforiver Analytics+, and today it is a 3-in-1 visual for dashboards and storyboards that offers 50+ charts, cards, and tables.