Welcome to our Demo Inventory operations management Dashboard built on SAP Analytics Cloud, designed to provide real-time insights and comprehensive analysis of your retail inventory data. This dashboard offers an intuitive and user-friendly interface that enables you to quickly and easily visualize your inventory data, track key performance indicators (KPIs), and gain valuable insights into your business operations.


One of the most powerful features of the SAC dashboard is its predictive analytics and forecasting capabilities, which use advanced algorithms and machine learning models to provide accurate predictions about future demand for retail products. This enables retailers to make data-driven decisions about inventory management, ensuring that our clients always have the right amount of stock on hand to meet customer demand.


In addition to predictive analytics, this dashboard also offers a range of other features designed to help optimize inventory management processes. These include customizable reports, interactive visualizations, and real-time alerts, which allow you to stay on top of inventory levels, sales trends, and other critical metrics.


The following video demo of our inventory operations dashboard provides a quick and clear snapshot of the key performance indicators (KPIs) that help monitor the efficiency and effectiveness of inventory management processes. Here are some examples of KPIs that are commonly included in an inventory operations dashboard:


Order Cycle Time: This KPI measures the time it takes to fulfil a customer order from the moment it is placed to the moment it is shipped. A shorter cycle time is indicative of a more efficient and effective inventory management process.


Fill Rate: This KPI measures the percentage of customer orders that are filled with the correct products and quantities. A high fill rate indicates that inventory levels are being managed effectively and that there are few stockouts or backorders.


Lead Time: This KPI measures the time it takes for suppliers to deliver orders to the warehouse. A shorter lead time is indicative of a more responsive supply chain and can help reduce the risk of stockouts.


Dead Stock: This KPI measures the amount of inventory that is not selling and is therefore tying up working capital. A high level of dead stock can indicate poor inventory management practices and can lead to increased costs and reduced profitability.


Regression analysis of average stock: This KPI measures the relationship between demand and inventory levels over time, and can help businesses identify trends and make more accurate inventory forecasts. By analysing the historical relationship between demand and inventory, regression analysis can also help businesses optimize their safety stock levels.


Inventory classification: This KPI involves categorizing inventory items based on their demand patterns and profitability. By classifying inventory items into categories such as A, B, and C, businesses can prioritize their inventory management efforts and focus on the items that have the greatest impact on their bottom line.


The total cost of distribution forecast: This KPI measures the total cost of distributing inventory, including transportation, handling, and warehousing costs. By forecasting the total cost of distribution, businesses can make more informed decisions about inventory sourcing and distribution strategies.



Other KPIs that may be included in an inventory operations dashboard include inventory turnover, stockout rate, order accuracy, and carrying costs. By monitoring these KPIs on an ongoing basis, businesses can identify areas for improvement and take action to optimize their inventory management processes and make data-driven decisions.





SAP Analytics Cloud is an essential tool for any retail business looking to stay competitive in today's fast-paced marketplace. With its powerful features and intuitive interface, it enables you to make informed decisions, streamline your operations, and achieve greater profitability.


It's important to note that the demo of the SAP Analytics Cloud (SAC) dashboard is built on dummy data to showcase the key functionalities and aesthetics of the dashboard. While the dashboard may contain realistic scenarios, the data used is not necessarily representative of a real-world inventory management system. The purpose of the demo is to provide users with an understanding of the SAC dashboard's capabilities and to demonstrate how it can be used to monitor and optimize inventory management processes. However, once implemented, the SAC dashboard can be configured to work with your specific inventory data and KPIs, allowing you to track, analyse and predict your own business operations in real time.


Interested in a live demo? Get in touch and our experts will show you how SAC can work for your business.