This supply chain machine learning use case can detect issues in the supply chain before they disrupt the business. A solid supply chain forecasting system means the company has the resources and intelligence to respond to emerging issues and threats. Furthermore, the effectiveness of the response grows in direct proportion to how quickly the business can respond to problems. Manual quality inspections are typically performed at logistics hubs to inspect containers or packages for damage during transit. As shown in this machine learning use case in the supply chain diagram, the growth of artificial intelligence and machine learning has expanded the scope of automating quality inspections in the supply chain lifecycle. Grab a copy of EdrawMax today to add to your use case diagramming skills.