![]() By applying AI and ML to this data, companies can gain "predictive visibility," or the ability to sense a disruption before it happens. Organizations can now increasingly harness vast amounts of data from both digital and physical assets into their supply chain business processes and leverage AI and machine learning (ML) to make faster and better decisions for superior customer experiences and a competitive advantage. Companies like Mercedes-Benz USA and Renault are pioneering the concept of the autonomous supply chain, in which any deviations from planned performance are sensed, analyzed, and corrected in real time, automatically and without any human involvement. These advanced autonomous systems can make informed decisions that protect passenger safety, conserve fuel, reduce emissions, manage maintenance, and maintain comfortable conditions inside the vehicle.īecause automakers were among the first to recognize and embrace the benefits of autonomy for their product designs, it's no surprise that the world's car manufacturers are also at the forefront of supply chain automation. Supported by AI, autonomous systems in cars are able to gather a wealth of data, process it, and respond much faster and more reliably than humans with limited cognition. One of the most visible examples is the automotive industry, where autonomous product functionality is quickly evolving from cruise control to self-driving vehicles. In the past decade, digitalization and artificial intelligence (AI) have transformed the competitive landscape in many industries-and this revolution will only continue.
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