Custom alerts are used to find important or critical supply chain issues such as inventory shortages, an imbalance of supply and demand, or any unexpected changes in the supply chain. You can specify the threshold values that will be used to determine issues. For example, you can specify the threshold values for minimum stock levels in a particular location. Based on these threshold values, the system analyzes the data on the fly and finds where the threshold values are reached. This enables you and your colleagues to react quickly, before a supply chain situation becomes a problem. Custom alerts, with machine learning, analyzes the supply chain data to determine where exception thresholds should be. By reacting to the changes in data, exception conditions that have changed or were previously unknown are identified.

Benefits

• Detect and address disruptions in the supply chain in a swift manner
• Improve forecast accuracy and efficiency of inventory management
• Prevent future supply chain issues from arising thanks to pattern identification

Business Value

• Up to 3% reduction in revenue loss due to stock-outs