Speed in decision-making, speed in reducing cycle-times, speed in operations, and speed in continuous improvement.

According to Gartner, supply chain organizations expect the level of machine automation in their supply chain processes to double in the next five years. At the same time, according to a recent study, annual Industrial IoT (IIOT) spending by growing companies is estimated to be a whopping $500 billion by the year 2020.

As global supply chains are increasing in complexity, the margin for error is rapidly shrinking. With increasing competition in a connected digital world, it becomes even more critical to maximize productivity by reducing uncertainties of any and all kinds. Mounting expectations of supersonic speed and efficiencies between suppliers and business partners of all types further underscores the need for the industry to leverage the prowess of the Artificial Intelligence (AI) in supply chains and logistics