Supply Chain Leadership Driving Industry 4.0 & Resilience During Crisis – LogiSYM July 2020
The Logistics & Supply Chain Management Society
JULY 20, 2020
Team re-building, split of responsibilities/tasks, border closure challenges, quick navigation of stock management, prioritisation of logistics to consumer needs and coordination with partners upstream and downstream. Machine learning and big data analytics augments critical roles in supply chain efficiency, problem solving and cost saving.
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