Improved performance is of prime concern for any business or enterprise. Together, AI/Machine learning technologies are viewed as the most impactful technology given its wide applicability and promise of addressing complex business problems across the value chain. Logistics, initially, was one aspect of management but in this era of the profound transformation, it is becoming one of the most disruptive fields across the globe. Leading companies have already started using the Artificial Intelligence and machine learning to fine-tune core strategies such as warehouse locations, as well as to enhance real-time decision making related to issues like availability, costs, inventories, carriers, vehicles and personnel. The potential of AI and Machine learning is not only enhancing everyday business activities and strategies but also is streamlining the logistics on a global scale.

Forbes Insights research shows that 65% of senior transportation-focused executives believe logistics, supply chain and transportation processes are in the midst of a renaissance--an era of profound transformation. But of the most visible forces of change, perhaps none carries more potential for innovation and even disruption than the evolution of artificial intelligence (AI), machine learning (ML) and related technologies. AI, ML and associated technologies promise to enable leaders to focus IoT and myriad other data feeds on achieving greater optimization and responsiveness across the whole of their logistics, supply chain and transportation footprint.iStock Leading companies are already harnessing artificial intelligence and machine learning to inform and fine-tune core strategies, such as warehouse locations, as well as to enhance real-time decision making related to issues like availability, costs, inventories, carriers, vehicles and personnel. While these new technologies bring about truckloads of data, the transportation industry has been capturing data for years.