In previous decades, supply chain managers focused on managing the flow of materials and resources through different processes as they became finished goods and were finally delivered to the end customer. These past eras, marked by stability and predictability, have recently given way to a new emphasis on increased risk, regulatory changes and economic, societal and geopolitical shocks. Initially, managers did not have the tools and information to respond adequately to sudden disruptions. As a result, global supply chain networks continue to undergo digital transformation to overcome these new challenges, implementing asset-tracking solutions and adopting Industry 4.0 technology, including artificial intelligence (AI), machine learning (ML) and the Internet of Things (IoT).



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