Building Supply Chain Resilience with Big Data and AI
For years, the terms “big data” and “artificial intelligence (AI)” in supply chains were just words. A few early adopters began exploring the potential of these technologies, but the majority of supply chain operations struggled to figure out how they could be applied to solve daily business challenges.
Enter the COVID-19 pandemic more than two years ago and the subsequent supply chain upheavals in our highly connected world. Shutdowns due to illness, labor scarcity, port congestion, increasing e-commerce demands, inventory and component shortages, limited commercial real estate, and other challenges too numerous to
count continue to impact operations as the virus mutates and lingers.
Facing this new reality, companies quickly realized that commercialized applications of big data and AI in a multitude of forms could help leaders better manage and adapt to unforeseen disruptions. After all, as Sir Winston Churchill famously said during the darkest days of World War II: “Never let a good crisis go to waste.”
Equipped with technologies and solutions that leverage these tools, such as robotics, simulation, control towers, automation, Industrial Internet of Things (IIoT) connectivity, machine learning (ML) and many others, supply chain operations can now benefit from…
