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If , for example , a supplier cannot meet production requirements for a new order , the supply chain organization needs to find alternatives fast . Even better – it should have advance warning of such problems which may be caused by a shortage of raw materials further back in the chain . Organizations need analytics-powered real-time demand sensing and forecasting capabilities to keep ahead of such events . And once they have access to prescriptive
insights , they benefit from recommendations on the best options they have to fulfill an order and ensure optimum ROI .
It may be , for example , that there is sufficient inventory in transit or in warehouses that can be brought together to meet a surge in demand without the cost and disruption of engaging a new supplier or activating extra manufacturing capacity . Organizations can only know this through near-real-time visibility of every element of their supply chain .
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