IDC predicts that by 2020, organizations able to analyze all relevant data and deliver actionable information will achieve $430 billion in productivity benefits over their less analytically oriented peers. While traditional supply chain visibility solutions have delivered incremental value, the latent nature of EDI status updates and inherent blind spots over extended periods of a journey have proven limiting.

Borne of the Internet of Things, a new approach has emerged that is enabling companies to see the live movement of their goods in motion, anywhere in the world, with no blind spots and no latency. This transformational approach is also enabling companies to predict and avoid future supply chain disruptions resulting from severe weather, port congestion, customs clearance times, road construction, and a host of other external factors.

Over the course of this webinar, John Santagate from IDC and Scott Byrnes from TransVoyant will compare and contrast traditional supply chain visibility vs. real-time predictive analytics using live streaming big data. Then, Chase Mueller, Manager, Supply Chain Visibility at Brooks Running, will detail how Brooks is using real-time big data and predictive analytics to dynamically manage availability date, drive efficiencies in downstream operations, reduce lead time, and improve customer service.

Join us and learn:

• Why are EDI-based supply chain visibility solutions failing to provide the real-time visibility required to allocate inventory in transit and confidently initiate downstream operations?
• How can companies gain real-time visibility of goods in motion from the devices that make up the Internet of Things?
• How do predictive analytics help companies to predict and avoid supply chain disruptions?

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