AI-DRIVEN TRANSFORMATION IN COMMERCE AND MANAGEMENT

Abstract AI‑Driven Transformation in Commerce and Management is an edited volume that synthesizes research and practitioner insights on how artificial intelligence reshapes business strategy, operations, marketing, finance, and human capital. The book collects conference‑inspired chapters that examine AI’s role in real‑time marketing, predictive budgeting, targeted advertising, personalization and trust, credit risk in agriculture, fraud detection, human‑AI collaboration, and sectoral case studies (retail, healthcare, travel, and finance). It highlights enabling technologies (machine learning, NLP, computer vision, generative AI, edge AI, and big‑data platforms), practical applications (programmatic advertising, recommendation engines, dynamic pricing, AI‑enabled CRM), and managerial implications (governance, ethics, explainability, and workforce readiness). Across empirical studies and conceptual pieces the volume balances opportunities—efficiency, hyper‑personalization, improved forecasting—with risks—data privacy, algorithmic bias, transparency gaps—and offers frameworks and policy considerations for responsible adoption. The collection is aimed at academics, students, and practitioners seeking actionable frameworks and evidence on deploying AI to create sustainable competitive advantage in commerce and management. “This edited volume, AI‑Driven Transformation in Commerce and Management, brings together scholarly perspectives on the growing relevance of Artificial Intelligence in business practices and management thought.” “The contributions in this book reflect contemporary concerns and emerging possibilities in the field, including ethical use of AI, AI‑powered decision‑making, digital marketing, data privacy, innovation in entrepreneurship, human‑AI collaboration, and the economic implications of AI on traditional industries.” Keywords Artificial Intelligence, Real‑Time Marketing, Predictive Analytics, Personalization, Data Privacy, Algorithmic Bias, Generative AI, Machine Learning, Natural Language Processing, Computer Vision, Programmatic Advertising, Budget Forecasting, Fraud Detection, Human‑AI Collaboration, AI Governance, Digital Transformation, Credit Risk Assessment, Agricultural Finance, Customer Engagement, Ethical AI