Remove 2007 Remove Africa Remove Big Data Remove Transportation
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Supply Chain Leadership Driving Industry 4.0 & Resilience During Crisis – LogiSYM July 2020

The Logistics & Supply Chain Management Society

Machine learning and big data analytics augments critical roles in supply chain efficiency, problem solving and cost saving. Data acquisition and filtering and scenario analysis are time consuming practices in supply chain. Efficiency and cost management. This calls for an analytical thinking and decision-making mindset.

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Building Outside-In Processes

Supply Chain Shaman

I am half-way through a spring speaking tour that will wrap-up in June with a speech in South Africa and Peru. For example, in the recession of 2007, DuPont missed the downturn in the market. Use GPS, maps and weather signals to better predict arrival and route transportation assets. This work is important to me.