This white paper outlines seven practical ways automation improves supply chain decision-making. It addresses common challenges such as demand volatility, manual planning processes, and disconnected data sources. The paper explains how automated analytics enables faster forecasting, scenario analysis, inventory optimization, and supplier performance monitoring. It highlights the role of repeatable workflows in improving data quality, consistency, and trust in insights. By reducing manual effort and accelerating insight delivery, automation allows supply chain teams to respond more effectively to disruptions and improve operational resilience.

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