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Cognitive Business Operations / white paper
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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
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