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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
Rahul Agrawal

Domain consultant, TCS Analytics and Insights

Avneet Saxena

Functional consultant, TCS Analytics and Insights

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