Data Analytics for supply chain

Supply chain analytics can help an organization make smarter, quicker and more efficient decisions. Benefits include the ability to:
1. Reduce costs and improve margins
Access comprehensive data to gain a continuous integrated planning approach and real-time visibility into the disparate data that drives operational efficiency and actionable insights.

2. Better understand risks
Supply chain analytics can identify known risks and help to predict future risks by spotting patterns and trends throughout the supply chain.

3. Increase accuracy in planning
By analyzing customer data, supply chain analytics can help a business better predict future demand. It helps an organization decide what products can be minimized when they become less profitable or understand what customer needs will be after the initial order.

4. Achieve the lean supply chain
Companies can use supply chain analytics to monitor warehouse, partner responses and customer needs for better-informed decisions.

5. Prepare for the future
Companies are now offering advanced analytics for supply chain management. Advanced analytics can process both structured and unstructured data, to give organizations an edge by making sure alerts arrive on time, so they can make optimal decisions. Advanced analytics can also build correlation and patterns among different sources to provide alerts that minimize risks at little costs and less sustainability impact.



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