Lecture 1

How Supply Chain benefit from using generative AI Corporations have been increasingly deploying artificial intelligence (AI) in supply chains for demand planning and procurement, while exploring its use in other areas, such as standardizing processes and optimizing last-mile delivery. Even in the relatively nascent area of sustainability tracking and measurement, AI adoption is as high as 62%, according to an EY study.

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How Gen AI Reimagines Supply Chain ManagementGenerative AI lets companies capture previously untapped benefits of AI in supply chains. By simplifying user interfaces, automating operations and decision making, and generating actionable insights from large data sets, GenAI overcomes the complexities of earlier AI implementations and promotes higher adoption. As supply chain technology grows more complex and the shortage of skilled professionals intensifies, companies must adopt GenAI to compete successfully.

GenAI can embed advanced supply chain intelligence and complex tools into accessible workflows. Forecasting, supply planning, and other types of advanced analytics that traditionally require specialized algorithms and expert knowledge can be put at users’ fingertips, democratizing usage. GenAI can transform human-machine collaboration and enable faster and more accurate decision making. It can connect disparate systems and, in the more mature cases, enable autonomous orchestration—coordinating activities and processes without manual intervention. We see these benefits emerging as GenAI deployments advance through a stepwise evolution.

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Supply chain networks in the age of generative AIGenerative AI is booming. Since ChatGPT launched in late 2022 the technology has taken the world by storm. Across industries and business functions, companies are looking to explore the possibilities and capitalize on the transformative potential of the creative side of AI. The sheer number of possible applications has captured the attention of business leaders. Our research found that 97 percent of senior executives agree that generative AI foundation models (also known as Large Language Models or LLMs) will be transformative for their company. And 100 percent anticipate changes to the workforce.

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A Simple Guide to the History of Generative AICorporations have been increasingly deploying artificial intelligence (AI) in supply chains for demand planning and procurement, while exploring its use in other areas, such as standardizing processes and optimizing last-mile delivery. Even in the relatively nascent area of sustainability tracking and measurement, AI adoption is as high as 62%, according to an EY study.

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