Book

Description

This book provides a comprehensive exploration of how AI, machine learning, predictive analytics, big data, and intelligent automation are transforming the core functions of modern business. The book bridges theoretical foundations with practical applications, enabling readers to understand how intelligent systems improve marketing effectiveness, streamline logistics operations, and build agile, resilient, and sustainable supply chains. It covers a wide range of contemporary topics, including AI-driven consumer behavior analysis, personalized marketing strategies, demand forecasting, inventory optimization, warehouse automation, transportation analytics, digital supply chain ecosystems, Internet of Things (IoT), blockchain integration, cloud-based logistics, digital twins, Industry 4.0 and Industry 5.0, generative AI, and sustainability-driven business networks. Each chapter incorporates conceptual discussions, global case studies, industry examples, practical frameworks, analytical tools, discussion questions, and emerging research perspectives to facilitate both academic learning and professional application. By integrating insights from marketing, logistics, supply chain management, business analytics, and artificial intelligence, this book equips readers with the knowledge and skills needed to navigate the challenges of digital transformation. Ms. Arbin Taj is a dynamic student author specializing in Human Resources Management and Marketing, with a strong foundation in people management, customer-centric strategies, and business development. Committed to exploring emerging trends in talent acquisition, employer branding, consumer behavior, digital marketing, and strategic business management. With a keen interest in research and innovation, she aspires to contribute to sustainable business growth through effective human capital management and market-driven solutions in the evolving global business environment.