Reengineer Your Supply Chain for the Digital Economy

Deploying machine learning algorithms to streamline order-to-cash processes

A typical supply chain order-to-cash (OTC) cycle often faces uncertainties due to factors such as demand variation, logistical disruptions. Enterprises can replace existing forecasting models with predictive machine learning algorithms that:

• Support business decisions with real-time analytics
• Estimate late deliveries and returns accurately
• Reduce revenue losses by highlighting process gaps