ISEE

“Artificial intelligence and machine learning have seen a huge jump in recent years, as the ability to leverage a reliable predictive model, coupled with historic data sets, can do wonders for anticipating future demand. AI models can improve efficiencies by reducing the guesswork from the process, reducing costs and saving time to focus on sales and operation planning. According to McKinsey Digital, AI-powered forecasting can reduce supply chain errors by 30% to 50%.”

Council Post: It’s Time To Future-Proof Your Supply Chain Because many supply chains were built without scalability and resilience in mind, they’re much more likely to cause barriers, delays or just simply collapse when disruption strikes—making the importance of building resiliency top of mind for many supply chain leaders.

The coronavirus pandemic upended supply chains around the world, leading to shipping backlogs, product shortages, and the fastest inflation in decades. But according to a report released by White House economists, the pandemic only exposed vulnerabilities in the supply chain that were already there. These issues won’t go away when the pandemic ends. As climate change leads to increased natural disasters, the need to make our supply chain more resilient is becoming even more imperative.

At ISEE, we’re bringing advanced AI to the global supply chain because we know that in order to make our supply chain more resilient and efficient, we need to bring it into the 21st century with leading-edge technology.

Supply Chain Hurdles Will Outlast Pandemic, White House Says The administration’s economic advisers see climate change and other factors complicating global trade patterns for years to come.