Artificial Intelligence for E-commerce

By: Ajit Singh

Narrated by: Virtual Voice

"Artificial Intelligence for E-commerce" is a comprehensive and practical guide designed to navigate the dynamic intersection of AI and the modern digital marketplace. This textbook serves as a one-stop resource for students and practitioners to understand, design, and implement intelligent systems that drive the next generation of e-commerce. It systematically demystifies the application of AI, transforming complex algorithms and architectures into accessible, actionable knowledge.


Key Features:


1. Beginner to Advanced Progression: The content is carefully graded, starting with fundamental definitions and moving towards advanced topics like MLOps and Generative AI, making it suitable for learners at all levels.
2. Hands-on Practical Approach: Every theoretical concept is immediately followed by practical code examples (primarily in Python), hands-on exercises, and mini-projects.
3. Real-world Case Studies: Features case studies of leading e-commerce giants, analyzing how they use AI to dominate the market, providing readers with tangible, inspirational examples.
4. Comprehensive Capstone Project: The final chapter is a complete, step-by-step guide to building a live, end-to-end AI-powered e-commerce feature, including data sourcing, model training, API creation, and deployment.
5. Latest & Updated Content: Covers cutting-edge topics including Generative AI for product content, MLOps for model lifecycle management, and the ethical implications of AI in retail.
6. Simple and Clear Explanations: Complex algorithms and architectures are explained using simple language, intuitive analogies, and clear diagrams, ensuring accessibility for all readers.
7. Holistic Coverage: The book covers the entire e-commerce value chain, from customer-facing applications (personalization, chatbots) to back-end operations (supply chain, fraud detection).


To Whom This Book Is For:

This book is primarily intended for:

1. B.Tech/B.E. Computer Science & Engineering Students: As a core or elective textbook that aligns with AICTE and NEP 2020 guidelines, providing both theoretical foundations and practical skills.
2. M.Tech/M.S. Students: For advanced study and research in specialized areas like machine learning applications, data science, and intelligent systems.
3. Aspiring Data Scientists and AI/ML Engineers: Who wish to specialize in the high-growth e-commerce sector.
4. E-commerce Professionals and Entrepreneurs: Who want to understand how to leverage AI to gain a competitive edge, enhance customer experience, and optimize operations.
5. Self-taught Learners and Enthusiasts: Who are looking for a structured, project-based approach to learning AI in a practical context.