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Leveraging AI and Data Engineering for Business Strategy and Supply Chain Optimization
Abstract
This chapter explores the transformative role of Artificial Intelligence (AI) and Data Engineering in optimizing supply chains within modern business strategy frameworks. As organizations strive to enhance efficiency, responsiveness, and sustainability, the integration of AI-driven insights and robust data engineering practices has become critical. This chapter examines key AI technologies—such as machine learning, predictive analytics, and automation—and their applications in supply chain management to streamline operations, improve decision-making, and reduce costs. It highlights how data engineering underpins these advancements by ensuring the availability, quality, and scalability of data across complex supply chain networks. The chapter also discusses the strategic benefits of aligning AI and data engineering initiatives with broader business goals, thereby positioning organizations to adapt swiftly to market changes, mitigate risks, and capture new opportunities.
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